Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • MPI Ethno. Forsch.  (2,113)
  • Online Resource  (2,113)
  • Birmingham, UK : Packt Publishing  (2,113)
Datasource
Material
  • Online Resource  (2,113)
Language
Years
Subjects(RVK)
  • 1
    ISBN: 9781805124061
    Language: English
    Pages: 1 online resource (214 pages) , illustrations
    Edition: [First edition].
    DDC: 005.75/8
    Keywords: Edge computing
    Abstract: Master edge computing architectures, unlock industry-specific patterns, apply proven best practices, and progress from basics to end-to-end solutions Key Features Unlock scalable edge solutions by mastering proven archetypes for real-world success Learn industry-specific patterns, tailoring solutions for diverse sector needs Make strategic decisions between cloud-out and edge-in strategies with confidence Purchase of the print or Kindle book includes a free PDF eBook Book Description Enriched with insights from a hyperscaler's perspective, Edge Computing Patterns for Solution Architects will prepare you for seamless collaboration with communication service providers (CSPs) and device manufacturers and help you in making the pivotal choice between cloud-out and edge-in approaches. This book presents industry-specific use cases that shape tailored edge solutions, addressing non-functional requirements to unlock the potential of standard edge components. As you progress, you'll navigate the archetypes of edge solution architecture from the basics to network edge and end-to-end configurations. You'll also discover the weight of data and the power of automation for scale and immerse yourself in the edge mantra of low latency and high bandwidth, absorbing invaluable do's and don'ts from real-world experiences. Recommended practices, honed through practical insights, have also been added to guide you in mastering the dynamic realm of edge computing. By the end of this book, you'll have built a comprehensive understanding of edge concepts and terminology and be ready to traverse the evolving edge computing landscape. What you will learn Distinguish edge concepts, recognizing that definitions vary among different audiences Explore industry-specific architecture patterns that shape custom solutions Analyze three proven edge computing archetypes for real-world scalability Apply best practices judiciously, adapting patterns to meet specific requirements Evaluate data for storage or discarding based on compliance and industry norms Advance from the foundational basics to complex end-to-end edge configurations Gain practical insights for achieving low-latency, high-bandwidth edge solutions Who this book is for Ideal for VPs of IT infrastructure, enterprise architects, solution architects, and SRE professionals with a background in cloud computing, this book is for individuals involved in crafting edge reference architectures and tailored solutions across diverse industries. It provides valuable insights and practical patterns drawn from real-world implementations in sectors such as retail, telecommunications, and manufacturing. Foundational knowledge of cloud computing is assumed to align with the advanced nature of the content covered.
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    ISBN: 9781835087732
    Language: English
    Pages: 1 online resource (396 pages) , illustrations
    Edition: Third edition.
    DDC: 005.1
    Keywords: Jenkins (Software development tool) ; Computer software Reliability ; Computer software Reusability ; Computers, Pipeline ; Logiciels ; Fiabilité ; Logiciels ; Réutilisation ; Ordinateurs pipelines
    Abstract: Integrate Jenkins, Kubernetes, and more on cloud into a robust, GitOps-driven CI/CD system, leveraging JCasC, IaC, and AI for a streamlined software delivery process Key Features Follow the construction of a Jenkins CI/CD pipeline start to finish through a real-world example Construct a continuous deployment (CD) pipeline in Jenkins using GitOps principles and integration with Argo CD Craft and optimize your CI pipeline code with ChatGPT and GitHub Copilot Purchase of the print or Kindle book includes a free PDF eBook Book Description This updated edition of Learning Continuous Integration with Jenkins is your one-stop guide to implementing CI/CD with Jenkins, addressing crucial technologies such as cloud computing, containerization, Infrastructure as Code, and GitOps. Tailored to both beginners and seasoned developers, the book provides a practical path to mastering a production-grade, secure, resilient, and cost-effective CI/CD setup. Starting with a detailed introduction to the fundamental principles of CI, this book systematically takes you through setting up a CI environment using Jenkins and other pivotal DevOps tools within the CI/CD ecosystem. You'll learn to write pipeline code with AI assistance and craft your own CI pipeline. With the help of hands-on tutorials, you'll gain a profound understanding of the CI process and Jenkins' robust capabilities. Additionally, the book teaches you how to expand your CI pipeline with automated testing and deployment, setting the stage for continuous deployment. To help you through the complete software delivery process, this book also covers methods to ensure that your CI/CD setup is maintainable across teams, secure, and performs optimally. By the end of the book, you'll have become an expert in implementing and optimizing CI/CD setups across diverse teams. What you will learn Understand CI with the Golden Circle theory Deploy Jenkins on the cloud using Helm charts and Jenkins Configuration as Code (JCasC) Implement optimal security practices to ensure Jenkins operates securely Extend Jenkins for CI by integrating with SonarQube, GitHub, and Artifactory Scale Jenkins using containers and the cloud for optimal performance Master Jenkins declarative syntax to enrich your pipeline coding vocabulary Enhance security and improve pipeline code within your CI/CD process using best practices Who this book is for This book is for a diverse audience, from university students studying Agile software development to seasoned developers, testers, release engineers, and project managers. If you're already using Jenkins for CI, this book will assist you in elevating your projects to CD. Whether you're new to the concepts of Agile, CI, and CD, or a DevOps engineer seeking advanced insights into JCasC, IaC, and Azure, this book will equip you with the tools to harness Jenkins for improved productivity and streamlined deliveries in the cloud.
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781805127123
    Language: English
    Pages: 1 online resource (592 pages)
    Edition: Third edition.
    DDC: 005.3
    Keywords: AngularJS (Software framework) ; Application software Development ; Web applications ; JavaScript (Computer program language)
    Abstract: Harness the full power of Angular 17 with up-to-date tools and enterprise-level best practices Purchase of the print or Kindle book includes a free PDF eBook Key Features Dive straight into the most relevant topics that will help you build large, complex, and high-performance web applications Find updated examples, projects, and an overview of the latest tools and updates - including Jest, Cypress, NgRx workspace, Apollo GraphQL, and Angular Dev Tools Get to grips with reactive code and learn how to resolve potential issues before they crop up Book Description If you're looking to upskill and build sophisticated, minimalist web applications suited for enterprise use, Angular for Enterprise Applications is your guide to the next level of engineering mastery. In its third edition, this Angular book distils hard-earned lessons into a lucid roadmap for success. Adopting a pragmatic approach founded on a robust technical base, you'll utilize both JavaScript and TypeScript fundamentals. You'll also embrace agile engineering coding principles and learn to architect optimally sized enterprise solutions employing the freshest concepts in Angular. You'll gradually build upon this foundation through insightful recipes, sample apps, and crystal-clear explanations. You'll master authentication and authorization and achieve optimal performance through reactive programming and lazy loading, build complex yet flexible UIs with Router-first principles, and then integrate with backend systems using REST and GraphQL APIs. You'll cover modern tools like RxAngular, Qwik, and Signals. You'll construct master/detail views using data tables and NgRx for state management. You'll explore DevOps using Docker and build CI/CD pipelines necessary for high-performance teams. By the end of this book, you'll be proficient in leveraging Angular in enterprise and design robust systems that scale effortlessly. What you will learn Best practices for architecting and leading enterprise projects Minimalist, value-first approach to delivering web apps How standalone components, services, providers, modules, lazy loading, and directives work in Angular Manage your app's data reactivity using Signals or RxJS State management for your Angular apps with NgRx Angular ecosystem to build and deliver enterprise applications Automated testing and CI/CD to deliver high quality apps Authentication and authorization Building role-based access control with REST and GraphQL Who this book is for This book is for mid-to-senior developers looking to gain mastery by learning how to write, test, and deploy Angular in an enterprise environment. Working experience with JavaScript is a prerequisite, and a familiarity with TypeScript and RESTful APIs will help you understand the topics covered in this book more effectively.
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781835469385
    Language: English
    Pages: 1 online resource (544 pages) , illustrations
    Edition: Sixth edition.
    DDC: 006.6/86
    Keywords: Adobe Photoshop elements ; Photography Digital techniques ; Image processing Digital techniques
    Abstract: "Take complete control of all your image-editing ambitions using this beautifully illustrated, easy-to-understand, jargon-free guide on Photoshop Elements 2024 packed with best practices and expert insights. Key Features Comprehensive coverage of Adobe Photoshop Elements 2024, including new AI-powered tools and advanced features Practical guidance on photo organization, editing, and sharing, with an emphasis on creative and professional techniques Rich, illustrative content with updated examples, tutorials, and mini creative projects Book Description Dive into the world of digital photo editing with this latest edition, crafted by Robin Nichols, a seasoned photographer and digital imaging expert, which brings the latest Photoshop Elements 2024 to your fingertips. With a unique blend of in-depth tutorials and practical applications, this book is an essential resource for photographers at all levels. It introduces new features like Dark Mode, Match Color, and Photo Reels, along with advanced techniques like layering and artistic effects. The book also addresses common user feedback from previous editions, ensuring a refined and user-friendly experience. Elements 2024 extends its AI capabilities by simplifying complex editing processes. Learn to stitch widescreen panoramas, remove people from backgrounds, de-focus backgrounds, re-compose images, and even create a range of calendars and greeting cards for your friends and family. Take your prowess to the next level by learning how to correct optical distortion, re-shape images, exploit layers, layer masking, and sharpening techniques--create the perfect picture or imaginative fantasy illustration. You'll also learn the online realms of animation, video creation, and third-party plug-ins. By the end of this book, you'll learn how to leverage the incredible features of Photoshop Elements 2024 with complete confidence. What you will learn Master new features in Photoshop Elements 2024, including AI-powered tools and one-click fixes on mobile Create captivating photo collages, digital paintings, and graphic designs Efficiently organize your photo collections for easy access and management Enhance your social media presence with professionally edited photos and artworks Employ advanced layer techniques for more powerful and immersive illustrations Gain comprehensive knowledge to become a proficient Photoshop Elements user Who this book is for ""Mastering Adobe Photoshop Elements - 6th Edition"" is perfect for photographers of all skill levels - from hobbyists to professionals. Whether you are new to photo editing or looking to upgrade your skills with the latest Photoshop Elements features, this book offers valuable insights and guidance.".
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    ISBN: 9781837631100 , 1837631107 , 9781837631971
    Language: English
    Pages: 1 online resource (270 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 005.3
    Keywords: Web applications Development ; Applications Web ; Développement
    Abstract: Unleash the full potential of Angular 17 to create more robust and feature-rich applications effortlessly Key Features Boost your Angular app development productivity by leveraging often-overlooked advanced features and best practices Enhance the quality of your Angular applications by simplifying code Gain practical knowledge through real-world examples of advanced Angular features and design patterns Purchase of the print or Kindle book includes a free PDF eBook Book Description Single page applications (SPAs) have become the standard for most web experiences. Angular, with its batteries-included approach, has emerged as a powerful framework for simplifying the development of these interfaces by offering a comprehensive toolbox. This book guides you through the Angular ecosystem, uncovering invaluable design patterns and harnessing its essential features. The book begins by laying a strong foundation, helping you understand when and why Angular should be your web development framework of choice. The next set of chapters will help you gain expertise in component design and architecting efficient, flexible, and high-performing communication patterns between components. You'll then delve into Angular's advanced features to create forms in a productive and secure way with robust data model typing. You'll also learn how to enhance productivity using interceptors to reuse code for common functionalities, such as token management, across various apps. The book also covers micro frontend architecture in depth to effectively apply this architectural approach and concludes by helping you master the art of crafting tests and handling errors effortlessly. By the end of this book, you'll have unlocked the full potential of the Angular framework. What you will learn Discover effective strategies for organizing your Angular project for enhanced efficiency Harness the power of TypeScript to boost productivity and the overall quality of your Angular project Implement proven design patterns to streamline the structure and communication between components Simplify complex applications by integrating micro frontend and standalone components Optimize the deployment process for top-notch application performance Leverage Angular signals and standalone components to create performant applications Who this book is for Whether you're a web developer or a tech leader engaged in frontend development, be it for small-scale projects or large, complex systems, you'll find this book useful to enhance both the quality and performance of your applications. Web architects seeking to design robust and adaptable frontend applications while leveraging Angular's extensive feature set will discover valuable insights within these pages.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    ISBN: 9781804614327 , 1804614327 , 9781804612583
    Language: English
    Pages: 1 online resource (300 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 005.1
    Keywords: Software engineering ; Programming languages (Electronic computers) ; Génie logiciel
    Abstract: Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate data Key Features Transform data into a clean and trusted source of information for your organization using Scala Build streaming and batch-processing pipelines with step-by-step explanations Implement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD) Purchase of the print or Kindle book includes a free PDF eBook Book Description Most data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount. This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You'll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You'll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users. By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices. What you will learn Set up your development environment to build pipelines in Scala Get to grips with polymorphic functions, type parameterization, and Scala implicits Use Spark DataFrames, Datasets, and Spark SQL with Scala Read and write data to object stores Profile and clean your data using Deequ Performance tune your data pipelines using Scala Who this book is for This book is for data engineers who have experience in working with data and want to understand how to transform raw data into a clean, trusted, and valuable source of information for their organization using Scala and the latest cloud technologies.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    ISBN: 9781837630707 , 1837630704 , 9781837638406
    Language: English
    Pages: 1 online resource (472 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 004.67/82
    Keywords: Cloud computing Security measures ; Infonuagique ; Sécurité ; Mesures
    Abstract: Strengthen your security posture in all aspects of CSPM technology, from security infrastructure design to implementation strategies, automation, and remedial actions using operational best practices across your cloud environment Key Features Choose the right CSPM tool to rectify cloud security misconfigurations based on organizational requirements Optimize your security posture with expert techniques for in-depth cloud security insights Improve your security compliance score by adopting a secure-by-design approach and implementing security automation Purchase of the print or Kindle book includes a free PDF eBook Book Description This book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that'll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures. The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you'll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting. As you progress, you'll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You'll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments. By the end of this book, you'll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations. What you will learn Find out how to deploy and onboard cloud accounts using CSPM tools Understand security posture aspects such as the dashboard, asset inventory, and risks Explore the Kusto Query Language (KQL) and write threat hunting queries Explore security recommendations and operational best practices Get to grips with vulnerability, patch, and compliance management, and governance Familiarize yourself with security alerts, monitoring, and workload protection best practices Manage IaC scan policies and learn how to handle exceptions Who this book is for If you're a cloud security administrator, security engineer, or DevSecOps engineer, you'll find this book useful every step of the way--from proof of concept to the secured, automated implementation of CSPM with proper auto-remediation configuration. This book will also help cybersecurity managers, security leads, and cloud security architects looking to explore the decision matrix and key requirements for choosing the right product. Cloud security enthusiasts who want to enhance their knowledge to bolster the security posture of multi-cloud infrastructure will also benefit from this book.
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 8
    ISBN: 9781835085936 , 1835085938 , 9781835086315
    Language: English
    Pages: 1 online resource (350 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 005.7/2
    Keywords: Web site development ; Web applications ; Sites Web ; Développement ; Applications Web
    Abstract: Unlock the full potential of Streamlit, mastering web app development from setup to deployment with practical guidance, advanced techniques, and real-world examples Key Features Identify and overcome web development challenges, crafting dedicated application skeletons using Streamlit Understand how Streamlit's widgets and components work to implement any kind of web app Manage web application development and deployment with ease using the Streamlit Cloud service Purchase of the print or Kindle book includes a free PDF eBook Book Description This book is a comprehensive guide to the Streamlit open-source Python library and simplifying the process of creating web applications. Through hands-on guidance and realistic examples, you'll progress from crafting simple to sophisticated web applications from scratch. This book covers everything from understanding Streamlit's central principles, modules, basic features, and widgets to advanced skills such as dealing with databases, hashes, sessions, and multipages. Starting with fundamental concepts like operation systems virtualization, IDEs, development environments, widgets, scripting, and the anatomy of web apps, the initial chapters set the groundwork. You'll then apply this knowledge to develop some real web apps, gradually advancing to more complex apps, incorporating features like natural language processing (NLP), computer vision, dashboards with interactive charts, file uploading, and much more. The book concludes by delving into the implementation of advanced skills and deployment techniques. By the end of this book, you'll have transformed into a proficient developer, equipped with advanced skills for handling databases, implementing secure login processes, managing session states, creating multipage applications, and seamlessly deploying them on the cloud. What you will learn Develop interactive web apps with Streamlit and deploy them seamlessly on the cloud Acquire in-depth theoretical and practical expertise in using Streamlit for app development Use themes and customization for visually appealing web apps tailored to specific needs Implement advanced features including secure login, signup processes, file uploaders, and database connections Build a catalog of scripts and routines to efficiently implement new web apps Attain autonomy in adopting new Streamlit features rapidly and effectively Who this book is for This book is for Python programmers, web developers, computer science students, and IT enthusiasts with a foundation in Python (or any programming language) who have a passion for creating visually appealing applications. If you already know how to write programs, this book will help you evolve into an adept web application developer skilled at converting command-line tools into impressive, cloud-hosted applications.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 9
    ISBN: 9781805123224
    Language: English
    Pages: 1 online resource (294 pages) , illustrations
    Edition: [First edition].
    DDC: 005.1
    Keywords: Kubernetes ; Application software Development ; Computer programs
    Abstract: Gain hands-on skills in Kubernetes Secrets management, ensuring a comprehensive overview of the Secrets lifecycle and prioritizing adherence to regulatory standards and business sustainability Key Features Master Secrets encryption, encompassing complex life cycles, key rotation, access control, backup, and recovery Build your skills to audit Secrets consumption, troubleshoot, and optimize for efficiency and compliance Learn how to manage Secrets through real-world cases, strengthening your applications' security posture Purchase of the print or Kindle book includes a free PDF eBook Book Description Securing Secrets in containerized apps poses a significant challenge for Kubernetes IT professionals. This book tackles the critical task of safeguarding sensitive data, addressing the limitations of Kubernetes encryption, and establishing a robust Secrets management system for heightened security for Kubernetes. Starting with the fundamental Kubernetes architecture principles and how they apply to the design of Secrets management, this book delves into advanced Kubernetes concepts such as hands-on security, compliance, risk mitigation, disaster recovery, and backup strategies. With the help of practical, real-world guidance, you'll learn how to mitigate risks and establish robust Secrets management as you explore different types of external secret stores, configure them in Kubernetes, and integrate them with existing Secrets management solutions. Further, you'll design, implement, and operate a secure method of managing sensitive payload by leveraging real use cases in an iterative process to enhance skills, practices, and analytical thinking, progressively strengthening the security posture with each solution. By the end of this book, you'll have a rock-solid Secrets management solution to run your business-critical applications in a hybrid multi-cloud scenario, addressing operational risks, compliance, and controls. What you will learn Explore Kubernetes Secrets, related API objects, and CRUD operations Understand the Kubernetes Secrets limitations, attack vectors, and mitigation strategies Explore encryption at rest and external secret stores Build and operate a production-grade solution with a focus on business continuity Integrate a Secrets Management solution in your CI/CD pipelines Conduct continuous assessments of the risks and vulnerabilities for each solution Draw insights from use cases implemented by large organizations Gain an overview of the latest and upcoming Secrets management trends Who this book is for This handbook is a comprehensive reference for IT professionals to design, implement, operate, and audit Secrets in applications and platforms running on Kubernetes. For developer, platform, and security teams experienced with containers, this Secrets management guide offers a progressive path--from foundations to implementation--with a security-first mindset. You'll also find this book useful if you work with hybrid multi-cloud Kubernetes platforms for organizations concerned with governance and compliance requirements.
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 10
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781835087695
    Language: English
    Pages: 1 online resource (374 pages) , illustrations
    Edition: Second edition.
    DDC: 518.0285/536
    Keywords: MATLAB ; Machine learning ; Computer programming
    Abstract: Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applications Key Features Work with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithms Evaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoring Uncover effective approaches to deep learning for computer vision, time series analysis, and forecasting Purchase of the print or Kindle book includes a free PDF eBook Book Description Discover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications. By navigating the versatile machine learning tools in the MATLAB environment, you'll learn how to seamlessly interact with the workspace. You'll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you'll explore various classification and regression techniques, skillfully applying them with MATLAB functions. This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You'll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you'll leverage MATLAB tools for deep learning and managing convolutional neural networks. By the end of the book, you'll be able to put it all together by applying major machine learning algorithms in real-world scenarios. What you will learn Discover different ways to transform data into valuable insights Explore the different types of regression techniques Grasp the basics of classification through Naive Bayes and decision trees Use clustering to group data based on similarity measures Perform data fitting, pattern recognition, and cluster analysis Implement feature selection and extraction for dimensionality reduction Harness MATLAB tools for deep learning exploration Who this book is for This book is for ML engineers, data scientists, DL engineers, and CV/NLP engineers who want to use MATLAB for machine learning and deep learning. A fundamental understanding of programming concepts is necessary to get started.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 11
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781805128137
    Language: English
    Pages: 1 online resource (306 pages) , illustrations
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Asynchronous transfer mode
    Abstract: Get a fundamental understanding of asynchronous programming and Rust's futures by working through examples that show you how everything really works Key Features Master asynchronous Rust through examples focusing on key concepts Build a solid understanding of concepts such as coroutines, fibers, futures, and callbacks Explore Rust's futures, craft your own runtime, and excel in handling stacks, ABIs, syscalls, and inline assembly Purchase of the print or Kindle book includes a free PDF eBook Book Description Step into the world of asynchronous programming with confidence by conquering the challenges of unclear concepts with this hands-on guide. Using functional examples, this book simplifies the trickiest concepts, exploring goroutines, fibers, futures, and callbacks to help you navigate the vast Rust async ecosystem with ease. You'll start by building a solid foundation in asynchronous programming and explore diverse strategies for modeling program flow. The book then guides you through concepts like epoll, coroutines, green threads, and callbacks using practical examples. The final section focuses on Rust, examining futures, generators, and the reactor-executor pattern. You'll apply your knowledge to create your own runtime, solidifying expertise in this dynamic domain. Throughout the book, you'll not only gain proficiency in Rust's async features but also see how Rust models asynchronous program flow. By the end of the book, you'll possess the knowledge and practical skills needed to actively contribute to the Rust async ecosystem. What you will learn Explore the essence of asynchronous program flow and its significance Understand the difference between concurrency and parallelism Gain insights into how computers and operating systems handle concurrent tasks Uncover the mechanics of async/await Understand Rust's futures by implementing them yourself Implement green threads from scratch to thoroughly understand them Who this book is for This book is for programmers who want to enhance their understanding of asynchronous programming, especially those experienced in VM'ed or interpreted languages like C#, Java, Python, JavaScript, and Go. If you work with C or C++ but have had limited exposure to asynchronous programming, this book serves as a resource to broaden your knowledge in this area. Although the examples are predominantly in Rust, the intricacies of Rust's futures are covered in detail. So, anyone with a keen interest in learning Rust or with working knowledge of Rust will be able to get the most out of this book.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 12
    ISBN: 9781837636099 , 1837636095 , 9781837630141
    Language: English
    Pages: 1 online resource (434 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 332.0285/58
    Keywords: Finance Data processing ; Finance Computer programs ; Security measures ; Computer security ; Finances ; Informatique ; Sécurité informatique
    Abstract: Level up your career by learning best practices for managing the data quality and integrity of your financial data Key Features Accelerate data integrity management using artificial intelligence-powered solutions Learn how business intelligence tools, ledger databases, and database locks solve data integrity issues Find out how to detect fraudulent transactions affecting financial report integrity Book Description Data integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations. The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases. After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally. What you will learn Develop a customized financial data quality scorecard Utilize business intelligence tools to detect, manage, and resolve data integrity issues Find out how to use managed cloud-based ledger databases for financial data integrity Apply database locking techniques to prevent transaction integrity issues involving finance data Discover the methods to detect fraudulent transactions affecting financial report integrity Use artificial intelligence-powered solutions to resolve various data integrity issues and challenges Who this book is for This book is for financial analysts, technical leaders, and data professionals interested in learning practical strategies for managing data integrity and data quality using relevant frameworks and tools. A basic understanding of finance concepts, accounting, and data analysis is expected. Knowledge of finance management is not a prerequisite, but it'll help you grasp the more advanced topics covered in this book.
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 13
    ISBN: 9781837635290 , 1837635293 , 9781837637836
    Language: English
    Pages: 1 online resource (418 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 004.6023
    Keywords: Computer network architectures ; Réseaux d'ordinateurs ; Architectures
    Abstract: Follow a step-by-step roadmap to developing essential competencies in network architecture design, relationship management, systems, and services, coupled with certification guidance and expert tips Key Features Grasp the big picture of information technology infrastructure to become a successful network architect Overcome challenges in network performance and configuration management Enhance your skills for career advancement using real-life examples and tips Purchase of the print or Kindle book includes a free PDF eBook Book Description Becoming a network architect is challenging--it demands hands-on engineering skills, encompassing hardware installation, configuration, and fabric layout design. Equally crucial, it involves collaboration with internal teams and C-Suite stakeholders, and adeptly managing external entities like vendors and service providers. The Network Architect's Handbook comprehensively covers these vital aspects, guiding you to evolve into an effective network architect within an organization, fostering seamless communication with leadership teams and other stakeholders. Starting with a clear definition of a network architect's role, this book lays out a roadmap and delves into the attributes and mindset for success. You'll then explore network architect design, physical infrastructure routing and switching, and network services such as DNS, MLAG, and service insertion. As you progress, you'll gain insights into the necessary skills and typical daily challenges faced by network architects. And to thoroughly prepare you to advance in your career, this handbook covers certifications and associated training for maintaining relevance in an organization, along with common interview questions for a network architect's position. Armed with essential concepts, techniques, and your newfound skills, you'll be well-prepared to pursue a career as a network architect. What you will learn Examine the role of a network architect Understand the key design makers in an organization Choose the best strategies to meet stakeholder needs Be well-versed with networking concepts Prepare for a network architect position interview Distinguish the different IT architects in an organization Identify relevant certification for network architects Understand the various de facto network/fabric architect models used today Who this book is for This book is for network engineers and technicians aspiring to transition into the role of a network architect. Whether you are at the beginning of your journey or seeking guidance along the path, this book will support you with its deep coverage of key aspects such as design concepts, architectural requirements, relevant experience, certifications, and advanced education with a special emphasis on cloud best practices. A practical understanding of IT networking is necessary to get the most out of this book.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 14
    ISBN: 9781803245478 , 1803245476
    Language: English
    Pages: 1 online resource (318 pages) , illustrations
    DDC: 006.6/9
    Keywords: Blender (Computer file) ; Three-dimensional display systems ; Affichage tridimensionnel ; three-dimensional
    Abstract: Master the art of modeling, shading, and rendering low poly 3D creations to transform into the 3D artist you've aspired to become Key Features Create minimalistic low poly 3D models based on reference images Breathe life into your creations by adding vibrant colors and appealing textures using materials Arrange your low poly models in a 3D environment, set up lighting to achieve the desired ambiance, and render the final scene Purchase of the print or Kindle book includes a free PDF eBook Book Description Step into the world of low poly 3D art with Low Poly 3D Modeling in Blender--your entry point into Blender and mastering the fundamentals of 3D art. This beginner-friendly guide ensures that you're fully prepared for the creative adventure that follows. Through a step-by-step learning process starting with the principles of low poly art, this book gradually immerses you in the intricacies of modeling. As you progress, you'll gain hands-on experience creating diverse projects ranging from designing a simple 3D crate to rendering complete low poly scenes. The book covers a wide spectrum of topics as you navigate Blender's interface, mastering essential modeling tools and exploring both basic and advanced modeling techniques. Advancing to the final chapters, you'll find ways to breathe life into your models with material creation and gain practical insights into modeling a variety of low poly objects. From end-to-end scene construction to configuring Blender for rendering high-quality images, you'll be equipped with the foundational skills to propel your career in 3D modeling and explore the boundless creative possibilities that Blender offers. By the end of this book, you'll have a solid understanding of Blender, 3D modeling, low poly methodologies, material design, 3D rendering techniques, and the broader world of 3D art. What you will learn Understand how Blender's interface works and how to configure it Gain proficiency in navigating 3D space in Blender Familiarize yourself with Blender's core modeling tools Get to grips with the workflow and techniques to create low poly 3D models Texture your low poly models using the UV and Shader editors Configure Blender's Asset Browser for instant access to your models Set up a complete scene, adjust the lighting, and create a high-quality, portfolio-ready render Who this book is for If you're new to 3D modeling, low poly modeling is a great starting point. This book is an invaluable guide for 3D artists, modelers, and beginners to begin without prior knowledge of Blender or 3D modelling experience, although a basic familiarity with these topics will be beneficial.
    Note: Includes index. - Online resource; title from title details screen (O'Reilly, viewed February 14, 2024)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 15
    ISBN: 9781837636303
    Language: English
    Pages: 1 online resource (326 pages) , illustrations
    Edition: Third edition.
    DDC: 005.75/65
    Keywords: Data mining ; Quantitative research
    Abstract: Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your data Key Features Learn practical data science combined with data theory to gain maximum insights from data Discover methods for deploying actionable machine learning pipelines while mitigating biases in data and models Explore actionable case studies to put your new skills to use immediately Purchase of the print or Kindle book includes a free PDF eBook Book Description Principles of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights. Starting with cleaning and preparation, you'll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you'll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data. With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You'll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you'll explore medium-level data governance, including data provenance, privacy, and deletion request handling. By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT. What you will learn Master the fundamentals steps of data science through practical examples Bridge the gap between math and programming using advanced statistics and ML Harness probability, calculus, and models for effective data control Explore transformative modern ML with large language models Evaluate ML success with impactful metrics and MLOps Create compelling visuals that convey actionable insights Quantify and mitigate biases in data and ML models Who this book is for If you are an aspiring novice data scientist eager to expand your knowledge, this book is for you. Whether you have basic math skills and want to apply them in the field of data science, or you excel in programming but lack the necessary mathematical foundations, you'll find this book useful. Familiarity with Python programming will further enhance your learning experience.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 16
    ISBN: 9781804617281
    Language: English
    Pages: 1 online resource (332 pages) , illustrations
    Edition: [First edition].
    DDC: 006.7/86
    Keywords: Adobe After effects ; Image processing Digital techniques ; Cinematography Special effects ; Data processing
    Abstract: Discover the top tricks and techniques to make the most of Adobe After Effects and elevate your graphics design skills by creating real-world projects with this comprehensive illustrated guide Key Features Master After Effects through hands-on engagement with small projects, following the best practices Leverage the settings and uncover hidden options in After Effects to optimize your workflow Acquire skills and techniques that will set you apart from other graphic designers Purchase of the print or Kindle book includes a free PDF eBook Book Description Visual effects and motion graphics are everywhere, shaping the film, TV, games, websites, and application landscape. Navigating a field this complex and ever-expanding demands more than mere familiarity with tools; you need to stand out to get ahead. Creative Motion Mastery with Adobe After Effects is the definitive guide that not only equips you with the essential skills to distinguish yourself, but also takes you through real projects that you can add to your portfolio. Guided by a hands-on learning approach, you'll master the UI, workflow, and diverse projects such as text animation, shape layers, and rotoscoping. With this newfound knowledge, you'll take your graphic design and post-production skills to the next level using chroma keying, particle simulations, and 2D and 3D tracking. You'll progress faster than someone taking a formal course in Adobe After Effects! And it's not all about creating; you'll import graphics from Illustrator and Photoshop and apply post-production effects to give them a new life. Finally, you'll discover how seamlessly you can export and manage your projects, ensuring end-to-end coverage of all you need. By the end of the book, you'll have a thorough understanding of Adobe After Effects, equipped with the skills and practice you need to propel your career in graphic design. What you will learn Create and customize text layers, including text animations, using shape layers Enhance projects with audio elements and apply audio effects to shape layers Develop editable motion graphics templates for Premiere Pro Implement color correction and grading techniques to enhance footage in projects Use rotoscoping to remove and mask objects seamlessly Generate realistic effects such as rain, fire, and smoke using particle simulations Master the art of compositing through Chroma Keying Get to grips with 2D and 3D tracking for seamless element integration Who this book is for This book is for graphic designers, UX and UI designers, e-learning designers, motion graphics artists, video editors, and VFX artists. A fundamental grasp and minimal experience with After Effects will help you follow long the concepts covered in this book. Additionally, familiarity with Illustrator and Photoshop will provide an added advantage.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 17
    ISBN: 1835084842 , 9781835084847 , 9781835080542
    Language: English
    Pages: 1 online resource (xix, 794 pages) , illustrations
    Edition: Third edition.
    Series Statement: Expert insight
    DDC: 005.13/3
    Keywords: C++ (Computer program language) ; Computer programming ; C++ (Langage de programmation) ; Programmation (Informatique) ; computer programming
    Abstract: The updated third edition of Modern C++ Programming Cookbook addresses the latest features of C++23, such as the stack library, the expected and mdspan types, span buffers, formatting library improvements, and updates to the ranges library. It also gets into more C++20 topics not previously covered, such as sync output streams and source_location. The book is organized in the form of practical recipes covering a wide range of real-world problems. It gets into the details of all the core concepts of modern C++ programming, such as functions and classes, iterators and algorithms, streams and the file system, threading and concurrency, smart pointers and move semantics, and many others. You will cover the performance aspects of programming in depth, and learning to write fast and lean code with the help of best practices. You will explore useful patterns and the implementation of many idioms, including pimpl, named parameter, attorney-client, and the factory pattern. A chapter dedicated to unit testing introduces you to three of the most widely used libraries for C++: Boost.Test, Google Test, and Catch2. By the end of this modern C++ programming book, you will be able to effectively leverage the features and techniques of C++11/14/17/20/23 programming to enhance the performance, scalability, and efficiency of your applications.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 18
    ISBN: 9781803235851
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 006.6/9
    Keywords: Blender (Computer file) ; Three-dimensional display systems ; Computer graphics ; Electronic books
    Abstract: Blender is a powerful tool for creating all kinds of visual assets, but with such power comes complexity. Creating a photorealistic 3D scene seems like a Herculean task for more than 90% of 3D designers, but don't be discouraged! 3D Environment Design with Blender will get you up and running. This practical guide helps reduce the complexity of 3D environment design, advance your Blender skills, and produce lifelike scenes and animations in a time-efficient manner. You'll start by learning how to fix the most common mistakes 3D designers make with modeling and scale matching that stop them from achieving photorealism. Next, you'll understand the basics of realistic texturing, efficient unwrapping and achieving photorealistic lighting by turning an actual reference of a wood cabin into a realistic 3D scene. These skills will be used and expanded as you build a realistic 3D environment with natural assets and materials that you'll create from scratch. Once you've developed your natural environment, you'll advance to creating realistic render shots by applying cool camera features, and compositing tricks that will make your final render look photorealistic and pleasing to the eye. By the end of this book, you'll be able to implement modeling tricks and best practices to make your 3D environments look stunningly lifelike.
    Note: Includes index. - Description based on print version record
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 19
    ISBN: 9781804613788 , 1804613789 , 9781804610541
    Language: English
    Pages: 1 online resource (398 pages) , illustrations
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Computer programming ; Python (Langage de programmation) ; Apprentissage automatique ; Programmation (Informatique) ; computer programming
    Abstract: Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labeling Key Features Generate labels for regression in scenarios with limited training data Apply generative AI and large language models (LLMs) to explore and label text data Leverage Python libraries for image, video, and audio data analysis and data labeling Purchase of the print or Kindle book includes a free PDF eBook Book Description Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today's data-driven world, mastering data labeling is not just an advantage, it's a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution. With this book, you'll discover the art of employing summary statistics, weak supervision, programmatic rules, and heuristics to assign labels to unlabeled training data programmatically. As you progress, you'll be able to enhance your datasets by mastering the intricacies of semi-supervised learning and data augmentation. Venturing further into the data landscape, you'll immerse yourself in the annotation of image, video, and audio data, harnessing the power of Python libraries such as seaborn, matplotlib, cv2, librosa, openai, and langchain. With hands-on guidance and practical examples, you'll gain proficiency in annotating diverse data types effectively. By the end of this book, you'll have the practical expertise to programmatically label diverse data types and enhance datasets, unlocking the full potential of your data. What you will learn Excel in exploratory data analysis (EDA) for tabular, text, audio, video, and image data Understand how to use Python libraries to apply rules to label raw data Discover data augmentation techniques for adding classification labels Leverage K-means clustering to classify unsupervised data Explore how hybrid supervised learning is applied to add labels for classification Master text data classification with generative AI Detect objects and classify images with OpenCV and YOLO Uncover a range of techniques and resources for data annotation Who this book is for This book is for machine learning engineers, data scientists, and data engineers who want to learn data labeling methods and algorithms for model training. Data enthusiasts and Python developers will be able to use this book to learn data exploration and annotation using Python libraries. Basic Python knowledge is beneficial but not necessary to get started.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 20
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781801815536
    Language: English
    Pages: 1 online resource (478 pages) , color illustrations
    Edition: Second edition.
    DDC: 004.67/82
    Keywords: Microsoft Azure (Computing platform) ; Cloud computing Security measures ; Infonuagique ; Sécurité ; Mesures ; Microsoft Azure (Computing platform) ; Electronic books
    Abstract: Learn how to set up, configure, and use Microsoft Sentinel to provide security incident and event management services for your multi-cloud environment Key Features Collect, normalize, and analyze security information from multiple data sources Integrate AI, machine learning, built-in and custom threat analyses, and automation to build optimal security solutions Detect and investigate possible security breaches to tackle complex and advanced cyber threats Book Description Microsoft Sentinel is a security information and event management (SIEM) tool developed by Microsoft that helps you to integrate cloud security and artificial intelligence (AI). This book will enable you to implement Microsoft Sentinel and understand how it can help detect security incidents in your environment with integrated AI, threat analysis, and built-in and community-driven logic. The book begins by introducing you to Microsoft Sentinel and Log Analytics. You'll then get to grips with data collection and management, before learning how to create effective Microsoft Sentinel queries to detect anomalous behaviors and activity patterns. Moving ahead, you'll learn about useful features such as entity behavior analytics and Microsoft Sentinel playbooks along with exploring the new bi-directional connector for ServiceNow. As you progress, you'll find out how to develop solutions that automate responses needed to handle security incidents. Finally, you'll grasp the latest developments in security, discover techniques to enhance your cloud security architecture, and explore how you can contribute to the security community. By the end of this Microsoft Sentinel book, you'll have learned how to implement Microsoft Sentinel to fit your needs and be able to protect your environment from cyber threats and other security issues. What you will learn Implement Log Analytics and enable Microsoft Sentinel and data ingestion from multiple sources Get to grips with coding using the Kusto Query Language (KQL) Discover how to carry out threat hunting activities in Microsoft Sentinel Connect Microsoft Sentinel to ServiceNow for automated ticketing Find out how to detect threats and create automated responses for immediate resolution Use triggers and actions with Microsoft Sentinel playbooks to perform automations Who this book is for If you are an IT professional with prior experience in other Microsoft security products and Azure and are now looking to expand your knowledge to incorporate Microsoft Sentinel, then this book is for you. Security experts using an alternative SIEM tool who want to adopt Microsoft Sentinel as an additional service or as a replacement will also find this book useful.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 22, 2022)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 21
    ISBN: 9781803231891
    Language: English
    Pages: 1 online resource (288 pages) , illustrations
    Edition: [First edition].
    DDC: 005.8076
    Keywords: Computer security Study guides Examinations ; Electronic data processing personnel Study guides Certification ; Sécurité informatique ; Examens ; Guides de l'étudiant ; Computer security ; Examinations ; Electronic data processing personnel ; Certification ; Electronic books ; Study guides
    Abstract: Remediate active attacks to reduce risk to the organization by investigating, hunting, and responding to threats using Microsoft Sentinel, Microsoft Defender for Cloud, and Microsoft 365 Defender Key Features Detect, protect, investigate, and remediate threats using Microsoft Defender for endpoint Explore multiple tools using the M365 Defender Security Center Get ready to overcome real-world challenges as you prepare to take the SC-200 exam Book Description Security in information technology has always been a topic of discussion, one that comes with various backgrounds, tools, responsibilities, education, and change! The SC-200 exam comprises a wide range of topics that introduce Microsoft technologies and general operations for security analysts in enterprises. This book is a comprehensive guide that covers the usefulness and applicability of Microsoft Security Stack in the daily activities of an enterprise security operations analyst. Starting with a quick overview of what it takes to prepare for the exam, you'll understand how to implement the learning in real-world scenarios. You'll learn to use Microsoft's security stack, including Microsoft 365 Defender, and Microsoft Sentinel, to detect, protect, and respond to adversary threats in your enterprise. This book will take you from legacy on-premises SOC and DFIR tools to leveraging all aspects of the M365 Defender suite as a modern replacement in a more effective and efficient way. By the end of this book, you'll have learned how to plan, deploy, and operationalize Microsoft's security stack in your enterprise and gained the confidence to pass the SC-200 exam. What you will learn Discover how to secure information technology systems for your organization Manage cross-domain investigations in the Microsoft 365 Defender portal Plan and implement the use of data connectors in Microsoft Defender for Cloud Get to grips with designing and configuring a Microsoft Sentinel workspace Configure SOAR (security orchestration, automation, and response) in Microsoft Sentinel Find out how to use Microsoft Sentinel workbooks to analyze and interpret data Solve mock tests at the end of the book to test your knowledge Who this book is for This book is for security professionals, cloud security engineers, and security analysts who want to learn and explore Microsoft Security Stack. Anyone looking to take the SC-200 exam will also find this guide useful. A basic understanding of Microsoft technologies and security concepts will be beneficial.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 22
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781801073004
    Language: English
    Pages: 1 online resource (264 pages) , illustrations
    Edition: [First edition].
    DDC: 005.5
    Keywords: Google Apps ; Integrated software ; Cloud computing ; Logiciels intégrés ; Infonuagique ; Electronic books
    Abstract: Explore the suite of apps that enhance productivity and promote efficient collaboration in your business Key Features Set up your own project in Google Workspace and improve your ability to interact with different services Understand how a combination of options can help businesses audit their data to be highly secure Deploy Google Workspace, configure users, and migrate data using Google Workspace Book Description Google Workspace has evolved from individual Google services to a suite of apps that improve productivity and promote efficient collaboration in an enterprise organization. This book takes you through the evolution of Google Workspace, features included in each Workspace edition, and various core services, such as Cloud Identity, Gmail, and Calendar. You'll explore the functionality of each configuration, which will help you make informed decisions for your organization. Later chapters will show you how to implement security configurations that are available at different layers of Workspace and also how Workspace meets essential enterprise compliance needs. You'll gain a high-level overview of the core services available in Google Workspace, including Google Apps Script, AppSheet, and Google Cloud Platform. Finally, you'll explore the different tools Google offers when you're adopting Google Cloud and migrating your data from legacy mail servers or on-premises applications over to cloud servers. By the end of this Google Workspace book, you'll be able to successfully deploy Google Workspace, configure users, and migrate data, thereby helping with cloud adoption. What you will learn Manage and configure users in your organization's Workspace account Protect email messages from phishing attacks Explore how to restrict or allow certain Marketplace apps for your users Manage all endpoints connecting to Google Workspace Understand the differences between Marketplace apps and add-ons that access Drive data Manage devices to keep your organization's data secure Migrate to Google Workspace from existing enterprise collaboration tools Who this book is for This book is for admins as well as home users, business users, and power users looking to improve their efficiency while using Google Workspace. Basic knowledge of using Google Workspace services is assumed.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 23
    ISBN: 9781803246864 , 1803246863 , 9781803232485
    Language: English
    Pages: 1 online resource (280 pages) , illustrations
    Edition: Fourth edition.
    Parallel Title: Erscheint auch als
    DDC: 004.167
    Keywords: iOS (Electronic resource) ; Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Electronic books ; Electronic books
    Abstract: Test-driven development (TDD) is a proven way to find software bugs earlier on in software development. Writing tests before you code improves the structure and maintainability of your apps, and so using TDD in combination with Swift 5.5's improved syntax leaves you with no excuse for writing bad code. Developers working with iOS will be able to put their knowledge to work with this practical guide to TDD in iOS. This book will help you grasp the fundamentals and show you how to run TDD with Xcode. You'll learn how to test network code, navigate between different parts of the app, run asynchronous tests, and much more. Using practical, real-world examples, you'll begin with an overview of the TDD workflow and get to grips with unit testing concepts and code cycles. You'll then develop an entire iOS app using TDD while exploring different strategies for writing tests for models, view controllers, and networking code. Additionally, you'll explore how to test the user interface and business logic of iOS apps and even write tests for the network layer of the sample app. By the end of this TDD book, you'll be able to implement TDD methodologies comfortably in your day-to-day development for building scalable and robust applications.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 24
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781803246918
    Language: English
    Pages: 1 online resource (506 pages) , illustrations
    Edition: Second edition.
    DDC: 004.36
    Keywords: Computer networks Monitoring ; Client/server computing ; Zabbix (Computer file) ; Réseaux d'ordinateurs ; Surveillance ; Architecture client-serveur (Informatique) ; Electronic books
    Abstract: Discover practical recipes to help you efficiently monitor enterprise IT infrastructure for Microsoft Windows, Linux, networking, and more. This updated second edition of the Zabbix 6 IT Infrastructure Monitoring Cookbook brings you new recipes, updated with Zabbix 6 functionality. You'll learn how to set up Zabbix with built-in high availability, use the improved Business Service Monitoring, set up automatic reporting, and create advanced triggers. Zabbix offers useful insights into your infrastructure performance and issues and enables you to enhance your monitoring setup with its powerful features. This book covers hands-on, easy-to-follow recipes for using Zabbix 6 to monitor effectively the performance of devices and applications over the network. You'll start by working your way through the installation and most prominent features of Zabbix and make the right design choices for building a scalable and easily manageable environment. This Zabbix book contains recipes for building items and triggers for different types of monitoring, building templates, and using Zabbix proxies. Next, you'll use the Zabbix API for customization and manage your Zabbix server and database efficiently. Finally, you'll find quick solutions to the common and not-so-common problems that you may encounter in your Zabbix monitoring work. By the end of this book, you'll be able to use Zabbix for all your monitoring needs and build a solid Zabbix setup by leveraging its key functionalities.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 25
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781803235257
    Language: English
    Pages: 1 online resource (714 pages) , illustrations
    Edition: Third edition.
    DDC: 005.13/3
    Keywords: Microsoft .NET Framework ; C # (Computer program language) ; Software architecture ; Application software Development ; Cloud computing ; Microsoft .NET Framework ; Architecture logicielle ; Logiciels d'application ; Développement ; Infonuagique ; Application software ; Development ; Cloud computing ; Software architecture ; Electronic books
    Abstract: Design scalable and high-performance enterprise applications using the latest features of C# 10 and .NET 6 Key Features Gain comprehensive software architecture knowledge and the skillset to create fully modular apps Solve scalability problems in web apps using enterprise architecture patterns Master new developments in front-end architecture and the application of AI for software architects Book Description Software architecture is the practice of implementing structures and systems that streamline the software development process and improve the quality of an app. This fully revised and expanded third edition, featuring the latest features of .NET 6 and C# 10, enables you to acquire the key skills, knowledge, and best practices required to become an effective software architect. Software Architecture with C# 10 and .NET 6, Third Edition features new chapters that describe the importance of the software architect, microservices with ASP.NET Core, and analyzing the architectural aspects of the front-end in the applications, including the new approach of .NET MAUI. It also includes a new chapter focused on providing a short introduction to artificial intelligence and machine learning using ML.NET, and updated chapters on Azure Kubernetes Service, EF Core, and Blazor. You will begin by understanding how to transform user requirements into architectural needs and exploring the differences between functional and non-functional requirements. Next, you will explore how to choose a cloud solution for your infrastructure, taking into account the factors that will help you manage a cloud-based app successfully. Finally, you will analyze and implement software design patterns that will allow you to solve common development problems. By the end of this book, you will be able to build and deliver highly scalable enterprise-ready apps that meet your business requirements. What you will learn Use proven techniques to overcome real-world architectural challenges Apply architectural approaches such as layered architecture Leverage tools such as containers to manage microservices effectively Get up to speed with Azure features for delivering global solutions Program and maintain Azure Functions using C# 10 Understand when it is best to use test-driven development (TDD) Implement microservices with ASP.NET Core in modern architectures Enrich your application with Artificial Intelligence Get the best of DevOps principles to enable CI/CD environments Who this book is for This book is for engineers and senior software developers aspiring to become architects or looking to build enterprise applications with the .NET Stack. Basic familiarity with C# and .NET is required to get the most out of this book.
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 26
    ISBN: 9781800560659
    Language: English
    Pages: 1 online resource (246 pages)
    Edition: [First edition].
    DDC: 005.74
    Keywords: Database management ; SQL (Computer program language) ; Cloud computing ; Application software Development ; Web applications ; Relational databases ; Bases de données ; Gestion ; SQL (Langage de programmation) ; Infonuagique ; Logiciels d'application ; Développement ; Applications Web ; Bases de données relationnelles ; Application software ; Development ; Cloud computing ; Database management ; Relational databases ; SQL (Computer program language) ; Web applications ; Electronic books ; Electronic books
    Abstract: Get hands-on with deploying and managing your database services to provide scalable and high-speed data access on CockroachDB. Getting Started with CockroachDB will introduce you to the inner workings of CockroachDB and help you to understand how it provides faster access to distributed data through a SQL interface. The book will also uncover how you can use the database to provide solutions where the data is highly available. Starting with CockroachDB's installation, setup, and configuration, this SQL book will familiarize you with the database architecture and database design principles. You'll then discover several options that CockroachDB provides to store multiple copies of your data to ensure fast data access. The book covers the internals of CockroachDB, how to deploy and manage it on the cloud, performance tuning to get the best out of CockroachDB, and how to scale data across continents and serve it locally. In addition to this, you'll get to grips with fault tolerance and auto-rebalancing, how indexes work, and the CockroachDB Admin UI. The book will guide you in building scalable cloud services on top of CockroachDB, covering administrative and security aspects and tips for troubleshooting, performance enhancements, and a brief guideline on migrating from traditional databases. By the end of this book, you'll have gained sufficient knowledge to manage your data on CockroachDB and interact with it from your application layer.
    Note: Includes bibliographical references
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 27
    ISBN: 9781801812870
    Language: English
    Pages: 1 online resource (540 pages) , illustrations
    Edition: Third edition.
    DDC: 005.13/3
    Keywords: SQL (Computer program language) ; Data mining ; Electronic books
    Abstract: Every day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace. This book helps you analyze this data and identify key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience. You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you will learn how to write SQL queries to aggregate, calculate, and combine SQL data from sources outside of your current dataset. You will also discover how to work with advanced data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you will be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation. By the end of this book, you will be proficient in the efficient application of SQL techniques in everyday business scenarios and looking at data with the critical eye of analytics professional.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 28
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781803238531
    Language: English
    Pages: 1 online resource (308 pages) , illustrations
    Edition: Fifth edition.
    DDC: 794.8/1526
    Keywords: Unity (Electronic resource) ; Computer games Programming ; Artificial intelligence ; Three-dimensional display systems ; Artificial Intelligence ; Jeux d'ordinateur ; Programmation ; Intelligence artificielle ; Affichage tridimensionnel ; artificial intelligence ; three-dimensional ; Electronic books
    Abstract: Learn and implement game AI in Unity to build smart environments and enemies with A* pathfinding, finite state machines, behavior trees, and the NavMesh. Developing artificial intelligence (AI) for game characters in Unity has never been easier. Unity provides game and app developers with a variety of tools to implement AI, from basic techniques to cutting-edge machine learning-powered agents. Leveraging these tools via Unity's API or built-in features allows limitless possibilities when it comes to creating game worlds and characters. The updated fifth edition of Unity Artificial Intelligence Programming starts by breaking down AI into simple concepts. Using a variety of examples, the book then takes those concepts and walks you through actual implementations designed to highlight key concepts and features related to game AI in Unity. As you progress, you'll learn how to implement a finite state machine (FSM) to determine how your AI behaves, apply probability and randomness to make games less predictable, and implement a basic sensory system. Later, you'll understand how to set up a game map with a navigation mesh, incorporate movement through techniques such as A* pathfinding, and provide characters with decision-making abilities using behavior trees. By the end of this Unity book, you'll have the skills you need to bring together all the concepts and practical lessons you've learned to build an impressive vehicle battle game.
    Note: Includes bibliographical references
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 29
    ISBN: 9781800207653
    Language: English
    Pages: 1 online resource (822 pages) , illustrations
    Edition: [First edition].
    DDC: 006.6/8
    Keywords: Tableau (Computer file) ; Information visualization Computer programs ; Visual analytics Data processing ; Electronic books ; Electronic books
    Abstract: Learning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience. As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users. All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays. By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 30
    ISBN: 9781800566491
    Language: English
    Pages: 1 online resource (780 pages) , illustrations
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: C# (Computer program language) ; Computer programming ; Application software Development
    Abstract: C# is a powerful, versatile language that can unlock a variety of career paths. But, as with any programming language, learning C# can be a challenging process. With a wide range of different resources available, it's difficult to know where to start. That's where The C# Workshop comes in. Written and reviewed by industry experts, it provides a fast-paced, supportive learning experience that will quickly get you writing C# code and building applications. Unlike other software development books that focus on dry, technical explanations of the underlying theory, this Workshop cuts through the noise and uses engaging examples to help you understand how each concept is applied in the real world. As you work through the book, you'll tackle realistic exercises that simulate the type of problems that software developers work on every day. These mini-projects include building a random-number guessing game, using the publisher-subscriber model to design a web file downloader, creating a to-do list using Razor Pages, generating images from the Fibonacci sequence using async/await tasks, and developing a temperature unit conversion app which you will then deploy to a production server. By the end of this book, you'll have the knowledge, skills, and confidence to advance your career and tackle your own ambitious projects with C#.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 31
    ISBN: 9781803234519
    Language: English
    Pages: 1 online resource (666 pages) , illustrations
    Edition: Second edition.
    Series Statement: Expert insight
    Parallel Title: Erscheint auch als Ledin, Jim Modern computer architecture and organization
    DDC: 004.2/2
    RVK:
    Keywords: Computer organization ; Computer architecture ; Electronic books ; Computerarchitektur
    Abstract: Are you a software developer, systems designer, or computer architecture student looking for a methodical introduction to digital device architectures, but are overwhelmed by the complexity of modern systems? This step-by-step guide will teach you how modern computer systems work with the help of practical examples and exercises. You'll gain insights into the internal behavior of processors down to the circuit level and will understand how the hardware executes code developed in high-level languages. This book will teach you the fundamentals of computer systems including transistors, logic gates, sequential logic, and instruction pipelines. You will learn details of modern processor architectures and instruction sets including x86, x64, ARM, and RISC-V. You will see how to implement a RISC-V processor in a low-cost FPGA board and write a quantum computing program and run it on an actual quantum computer. This edition has been updated to cover the architecture and design principles underlying the important domains of cybersecurity, blockchain and bitcoin mining, and self-driving vehicles. By the end of this book, you will have a thorough understanding of modern processors and computer architecture and the future directions these technologies are likely to take.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 32
    ISBN: 9781801816786
    Language: English
    Pages: 1 online resource (378 pages) , illustrations
    Edition: Third edition.
    DDC: 005.3
    Keywords: Spring (Software framework) ; Application software Development ; Application program interfaces (Computer software) ; Web applications ; Electronic books
    Abstract: Getting started with full stack development can be daunting. Even developers who are familiar with the best tools, such as Spring Boot and React, can struggle to nail the basics, let alone master the more advanced elements. If you're one of these developers, this comprehensive guide covers everything you need! This updated edition of the Full Stack Development with Spring Boot 2 and React book will take you from novice to proficient in this expansive domain. Taking a practical approach, this book will first walk you through the latest Spring Boot features for creating a robust backend, covering everything from setting up the environment and dependency injection to security and testing. Once this has been covered, you'll advance to React frontend programming. If you've ever wondered about custom Hooks, third-party components, and MUI, this book will demystify all that and much more. You'll explore everything that goes into developing, testing, securing, and deploying your applications using all the latest tools from Spring Boot, React, and other cutting-edge technologies. By the end of this book, you'll not only have learned the theory of building modern full stack applications but also have developed valuable skills that add value in any setting.
    Note: Includes bibliographical references
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 33
    ISBN: 9781803232157
    Language: English
    Pages: 1 online resource (398 pages) , illustrations
    Edition: Third edition.
    DDC: 005.7/1376
    Keywords: Microsoft Windows server ; Electronic books
    Abstract: Deploy, set up, and deliver network services with Windows Server 2022, along with exploring Microsoft's role-based certifications. This third edition gets you up and running with Windows Server 2022, Microsoft's new server operating system, as part of the Windows NT family of operating systems, developed concurrently with Windows 10, version 21H2. The book begins by introducing computer networking and Windows Server concepts, gradually moving towards Windows Server 2022. With the help of step-by-step instructions and easy-to-understand graphics, you'll become well versed with the roles, features, and functionalities of Windows Server 2022. Topics such as the installation process, upgrades, post-installation tasks, and initial server configuration are covered in detail. As you make progress, you'll explore roles, features, and role services such as Active Directory, DNS, Hyper-V, remote access, storage, and printers, among others. The book then takes you through maintenance and troubleshooting tasks to guide you in efficiently managing Windows Server 2022. Finally, by working with numerous questions in each chapter and detailed answers at the end, you can test your understanding of the concepts covered. By the end of this Windows Server book, you'll be equipped with the knowledge needed to update, maintain, and troubleshoot servers to ensure business continuity by relying on best practices and using step-by-step graphic-driven examples. If you are an IT professional who wants to deploy and configure Windows Server 2022, then this book is for you. You can also use this book to learn about Microsoft's role-based certifications if you're planning to enroll in a course. No prior experience with Windows Server operating systems or familiarity with networking concepts is required.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 34
    ISBN: 9781801070638
    Language: English
    Pages: 1 online resource (384 pages) , illustrations
    Edition: Second edition.
    DDC: 005.1
    Keywords: Application software Development ; Application software Programming ; User interfaces (Computer systems) ; JavaScript (Computer program language) ; Electronic books
    Abstract: Learn how to develop real-world applications of varying complexity for the web, mobile, and VR devices using React, React Native, React 360, and more. Developed by Facebook, React is a popular library for building impressive user interfaces. React extends its capabilities to mobile platforms using the React Native framework and integrates with popular web and mobile tools to build scalable applications. React Projects is your guide to learning React development by using modern development patterns and integrating React with powerful web tools, such as GraphQL, Expo, and React 360. You'll start building a real-world project right from the first chapter and get hands-on with developing scalable applications as you advance to building more complex projects. Throughout the book, you'll use the latest versions of React and React Native to explore features such as routing, Context, and Hooks on multiple platforms, which will help you build full-stack web and mobile applications efficiently. Finally, you'll get to grips with unit testing with Jest and end-to-end testing with Cypress to build test-driven apps. By the end of this React book, you'll have developed the skills necessary to start building scalable React apps across web and mobile platforms.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 35
    ISBN: 9781801811583
    Language: English
    Pages: 1 online resource (566 pages) , illustrations
    Edition: Third edition.
    DDC: 794.8/151
    Keywords: Computer games Programming ; C++ (Computer program language) ; Computer programming ; Electronic books
    Abstract: Unreal Engine's Blueprint visual scripting system enables designers to script their games and programmers to create base elements that can be extended by designers. With this book, you'll explore all the features of the Blueprint Editor, along with expert tips, shortcuts, and best practices. The book guides you through using variables, macros, and functions, and helps you learn about object-oriented programming (OOP). You'll discover the Gameplay Framework and advance to learning how Blueprint Communication allows one Blueprint to access information from another Blueprint. Later chapters focus on building a fully functional game step by step. You'll start with a basic first-person shooter (FPS) template, and each chapter will build on the prototype to create an increasingly complex and robust game experience. You'll then progress from creating basic shooting mechanics to more complex systems such as user interface elements and intelligent enemy behavior. The book demonstrates how to use arrays, maps, enums, and vector operations and introduces the elements needed for VR game development. In the final chapters, you'll learn how to implement procedural generation and create a product configurator. By the end of this book, you'll have learned how to build a fully functional game and have the skills required to develop an entertaining experience for your audience.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 36
    ISBN: 9781803237480
    Language: English
    Pages: 1 online resource (374 pages) , illustrations
    Edition: Third edition.
    DDC: 005.1
    Keywords: Application software Development ; Web applications Development ; Electronic books ; Electronic books
    Abstract: Create a complete continuous delivery process using modern DevOps tools such as Docker, Jenkins, Kubernetes, Ansible, Terraform, and many more Key Features Build reliable and secure applications using Docker containers Create a highly available environment to scale Jenkins and your services using Kubernetes Automate your release process end-to-end Book Description This updated third edition of Continuous Delivery with Docker and Jenkins will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of app development. You'll start by setting up a Docker server and configuring Jenkins on it. Next, you'll discover steps for building applications and microservices on Dockerfiles and integrating them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, configuration management, and Infrastructure as Code. Moving ahead, you'll learn how to ensure quick application deployment with Docker containers, along with scaling Jenkins using Kubernetes. Later, you'll explore how to deploy applications using Docker images and test them with Jenkins. Toward the concluding chapters, the book will focus on missing parts of the CD pipeline, such as the environments and infrastructure, application versioning, and non-functional testing. By the end of this continuous integration and continuous delivery book, you'll have gained the skills you need to enhance the DevOps workflow by integrating the functionalities of Docker and Jenkins. What you will learn Grasp Docker fundamentals and dockerize applications for the CD process Understand how to use Jenkins on-premises and in the cloud Scale a pool of Docker servers using Kubernetes Write acceptance tests using Cucumber Run tests in the Docker ecosystem using Jenkins Provision your servers and infrastructure using Ansible and Terraform Publish a built Docker image to a Docker registry Deploy cycles of Jenkins pipelines using community best practices Who this book is for The book is for DevOps engineers, system administrators, Docker professionals, or anyone who wants to explore the power of working with Docker and Jenkins together. No prior knowledge of DevOps is required to get started.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 37
    ISBN: 9781803242507
    Language: English
    Pages: 1 online resource (696 pages) , illustrations
    Edition: Second edition.
    DDC: 005.7/1376
    Keywords: Directory services (Computer network technology) ; Computer security ; Computer networks Security measures ; Information technology Management ; Client/server computing Security measures ; Cloud computing Security measures ; Electronic books
    Abstract: Updated to the Windows Server 2022, this second edition covers effective recipes for Active Directory administration that will help you leverage AD's capabilities for automating network, security, and access management tasks in the Windows infrastructure. Starting with a detailed focus on forests, domains, trusts, schemas, and partitions, this book will help you manage domain controllers, organizational units, and default containers. You'll then explore Active Directory sites management as well as identify and solve replication problems. As you progress, you'll work through recipes that show you how to manage your AD domains as well as user and group objects and computer accounts, expiring group memberships, and Group Managed Service Accounts (gMSAs) with PowerShell. Once you've covered DNS and certificates, you'll work with Group Policy and then focus on federation and security before advancing to Azure Active Directory and how to integrate on-premise Active Directory with Azure AD. Finally, you'll discover how Microsoft Azure AD Connect synchronization works and how to harden Azure AD. By the end of this AD book, you'll be able to make the most of Active Directory and Azure AD Connect.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 38
    ISBN: 9781803240664
    Language: English
    Pages: 1 online resource (490 pages) , illustrations
    Edition: Second edition.
    DDC: 005.3
    Keywords: Windows Azure Study guides Examinations ; Application software Study guides Development ; Examinations ; Electronic books
    Abstract: The AZ-400 Designing and Implementing Microsoft DevOps Solutions certification helps DevOps engineers and administrators get to grips with practices such as continuous integration and continuous delivery (CI/CD), containerization, and zero downtime deployments using Azure DevOps Services. This new edition is updated with advanced topics such as site reliability engineering (SRE), continuous improvement, and planning your cloud transformation journey. The book begins with the basics of CI/CD and automated deployments, and then moves ahead to show you how to apply configuration management and Infrastructure as Code (IaC) along with managing databases in DevOps scenarios. As you make progress, you'll explore fitting security and compliance with DevOps and find out how to instrument applications and gather metrics to understand application usage and user behavior. This book will also help you implement a container build strategy and manage Azure Kubernetes Services. Lastly, you'll discover quick tips and tricks to confidently apply effective DevOps practices and learn to create your own Azure DevOps organization. By the end of this DevOps book, you'll have gained the knowledge needed to ensure seamless application deployments and business continuity.
    Note: Includes index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 39
    ISBN: 9781838647056 , 1838647058
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more. Key Features Use R 3.5 to implement real-world examples in machine learning Implement key machine learning algorithms to understand the working mechanism of smart models Create end-to-end machine learning pipelines using modern libraries from the R ecosystem Book Description Machine Learning with R Quick Start Guide takes you on a data-driven journey that starts with the very basics of R and machine learning. It gradually builds upon core concepts so you can handle the varied complexities of data and understand each stage of the machine learning pipeline. From data collection to implementing Natural Language Processing (NLP), this book covers it all. You will implement key machine learning algorithms to understand how they are used to build smart models. You will cover tasks such as clustering, logistic regressions, random forests, support vector machines, and more. Furthermore, you will also look at more advanced aspects such as training neural networks and topic modeling. By the end of the book, you will be able to apply the concepts of machine learning, deal with data-related problems, and solve them using the powerful yet simple language that is R. What you will learn Introduce yourself to the basics of machine learning with R 3.5 Get to grips with R techniques for cleaning and preparing your data for analysis and visualize your results Learn to build predictive models with the help of various machine learning techniques Use R to visualize data spread across multiple dimensions and extract useful features Use interactive data analysis with R to get insights into data Implement supervised and unsupervised learning, and NLP using R libraries Who this book is for This book is for graduate students, aspiring data scientists, and data analysts who wish to enter the field of machine learning and are looking to implement machine learning techniques and methodologies from scratch using R 3.5. A working knowledge of the R programming language is expected.
    Note: Description based on online resource; title from title page (Safari, viewed May 9, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 40
    ISBN: 9781838641269 , 1838641262
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Learning path
    Keywords: Computer vision ; OpenCV (Computer program language) ; Image processing ; Computer algorithms ; Electronic books ; Electronic books ; local
    Abstract: Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithms Key Features Discover best practices for engineering and maintaining OpenCV projects Explore important deep learning tools for image classification Understand basic image matrix formats and filters Book Description OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books: Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millan Escriva Learn OpenCV 4 By Building Projects - Second Edition by David Millan Escriva, Vinicius G. Mendonca, and Prateek Joshi What you will learn Stay up-to-date with algorithmic design approaches for complex computer vision tasks Work with OpenCV's most up-to-date API through various projects Understand 3D scene reconstruction and Structure from Motion (SfM) Study camera calibration and overlay augmented reality (AR) using the ArUco module Create CMake scripts to compile your C++ application Explore segmentation and feature extraction techniques Remove backgrounds from static scenes to identify moving objects for surveillance Work with new OpenCV functions to detect and recognize text with Tesseract Who this book is for If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, this Learning Path is for you. Prior knowledge of C++ and familiarity with mathematical concepts will help you better ...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 41
    ISBN: 9781789952445 , 1789952441
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Python (Computer program language) ; Computer networks ; Management ; Client/server computing ; Electronic books ; Electronic books ; local
    Abstract: Achieve improved network programmability and automation by leveraging powerful network programming concepts, algorithms, and tools Key Features Deal with remote network servers using SSH, FTP, SNMP and LDAP protocols. Design multi threaded and event-driven architectures for asynchronous servers programming. Leverage your Python programming skills to build powerful network applications Book Description Network programming has always been a demanding task. With full-featured and well-documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be. Starting with a walk through of today's major networking protocols, through this book, you'll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the web. You will utilize Python for emailing using different protocols, and you'll interact with remote systems and IP and DNS networking. You will cover the connection of networking devices and configuration using Python 3.7, along with cloud-based network management tasks using Python. As the book progresses, socket programming will be covered, followed by how to design servers, and the pros and cons of multithreaded and event-driven architectures. You'll develop practical clientside applications, including web API clients, email clients, SSH, and FTP. These applications will also be implemented through existing web application frameworks. What you will learn Execute Python modules on networking tools Automate tasks regarding the analysis and extraction of information from a network Get to grips with asynchronous programming modules available in Python Get to grips with IP address manipulation modules using Python programming Understand the main frameworks available in Python that are focused on web application Manipulate IP addresses and perform CIDR calculations Who this book is for If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. If you're a network engineer or a network professional aiming to be more productive and efficient in networking programmability and automation then this book would serve as a useful resource. Basic knowledge of Python is assumed.
    Note: Previous edition published: 2015. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 42
    ISBN: 9781789955019 , 1789955017
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Web services ; TypeScript (Computer program language) ; Application program interfaces (Computer software) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: A step-by-step guide that will help you design, develop, scale, and deploy RESTful APIs with TypeScript 3 and Node.js Key Features Gain in-depth knowledge of OpenAPI and Swagger to build scalable web services Explore a variety of test frameworks and test runners such as Stryker, Mocha, and Chai Create a pipeline by Dockerizing your environment using Travis CI, Google Cloud Platform, and GitHub Book Description In the world of web development, leveraging data is the key to developing comprehensive applications, and RESTful APIs help you to achieve this systematically. This book will guide you in designing and developing web services with the power of TypeScript 3 and Node.js. You'll design REST APIs using best practices for request handling, validation, authentication, and authorization. You'll also understand how to enhance the capabilities of your APIs with ODMs, databases, models and views, as well as asynchronous callbacks. This book will guide you in securing your environment by testing your services and initiating test automation with different testing approaches. Furthermore, you'll get to grips with developing secure, testable, and more efficient code, and be able to scale and deploy TypeScript 3 and Node.js-powered RESTful APIs on cloud platforms such as the Google Cloud Platform. Finally, the book will help you explore microservices and give you an overview of what GraphQL can allow you to do. By the end of this book, you will be able to use RESTful web services to create your APIs for mobile and web apps and other platforms. What you will learn Explore various methods to plan your services in a scalable way Understand how to handle different request types and the response status code Get to grips with securing web services Delve into error handling and logging your web services for improved debugging Uncover the microservices architecture and GraphQL Create automated CI/CD pipelines for release and deployment strategies Who this book is for If you're a developer who has a basic understanding of REST concepts and want to learn how to design and develop RESTful APIs, this book is for you. Prior knowledge of TypeScript will help you make the most out of this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 43
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789538533 , 178953853X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Seventh edition.
    Keywords: WordPress (Electronic resource) ; Web site development ; Web publishing ; Blogs ; Electronic books ; Electronic books ; local
    Abstract: An in-depth and comprehensive take on WordPress, covering everything about the platform such as WordPress posts, pages, themes, plugins, and more. Key Features Get up to date with the latest WordPress 5.0 (Bebo) and all its new features Beginner-friendly layout and advice you can apply from day one with loads of screenshots and examples Enrich your development experience with the new block-based editor Gutenberg Book Description Back in the day, when you wanted to launch a new website, you either had to learn web programming yourself or hire a professional who would take care of the whole process for you. Nowadays, with WordPress, anyone can build an optimized site with the least amount of effort possible and then make it available to the world in no time. Here, in the seventh edition of the book, we are going to show you how to build great looking and functional websites using WordPress. The new version of WordPress ? 5.0 ? comes with a few important changes, and we tell you all about how to use them effectively. From crafting content pages using the block editor, and customizing the design of your site, through to making sure it's secure, we go through it all. The book starts by introducing WordPress and teaching you how to set it up. You are then shown how to create a blog site, start writing content, and even use plugins and themes to customize the design of the site and add some unique elements to set it apart. If you want to get more in-depth, we also show you how to get started creating your own themes and plugins. Finally, we teach you how to use WordPress for building non-blog websites. By the end of the book, you will be sufficiently skilled to design high-quality websites and will be fully familiar with the ins and outs of WordPress. What you will learn Learn to adapt your plugin with the Gutenberg editor Create content that is optimized for publication on the web Craft great looking pages and posts with the use of block editor Structure your web pages in an accessible and clear way Install and work with plugins and themes Customize the design of your website Upload multimedia content, such as images, audio, and video easily and effectively Develop your own WordPress plugins and themes Use WordPress to build websites that serve purposes other than blogs Who this book is for The ideal target audience for this book would be PHP developers who have some basic knowledge of working with WordPress and who want to get a comprehensive pract...
    Note: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 44
    ISBN: 9781789534566 , 1789534569
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Application software ; Development ; JavaScript (Computer program language) ; Web applications ; Electronic books ; Electronic books ; local
    Abstract: Build modular React web apps that are scalable, maintainable and powerful using design patterns and insightful practices Key Features Get familiar with design patterns in React like Render props and Controlled/uncontrolled inputs Learn about class/ functional, style and high order components with React Work through examples that can be used to create reusable code and extensible designs Book Description React is an adaptable JavaScript library for building complex UIs from small, detached bits called components. This book is designed to take you through the most valuable design patterns in React, helping you learn how to apply design patterns and best practices in real-life situations. You'll get started by understanding the internals of React, in addition to covering Babel 7 and Create React App 2.0, which will help you write clean and maintainable code. To build on your skills, you will focus on concepts such as class components, stateless components, and pure components. You'll learn about new React features, such as the context API and React Hooks that will enable you to build components, which will be reusable across your applications. The book will then provide insights into the techniques of styling React components and optimizing them to make applications faster and more responsive. In the concluding chapters, you'll discover ways to write tests more effectively and learn how to contribute to React and its ecosystem. By the end of this book, you will be equipped with the skills you need to tackle any developmental setbacks when working with React. You'll be able to make your applications more flexible, efficient, and easy to maintain, thereby giving your workflow a boost when it comes to speed, without reducing quality. What you will learn Get familiar with the new React features,like context API and React Hooks Learn the techniques of styling and optimizing React components Make components communicate with each other by applying consolidate patterns Use server-side rendering to make applications load faster Write a comprehensive set of tests to create robust and maintainable code Build high-performing applications by optimizing components Who this book is for This book is for web developers who want to increase their understanding of React and apply it to real-life application development. Prior experience with React and JavaScript is assumed.
    Note: Previous edition published: 2017. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 45
    ISBN: 9781789349757 , 1789349753
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: OpenCV (Computer program language) ; Computer vision ; Python (Computer program language) ; Image processing ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. Key Features Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and Python Apply machine learning and deep learning techniques with TensorFlow, Keras, and PyTorch Discover the modern design patterns you should avoid when developing efficient computer vision applications Book Description OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands. What you will learn Handle files and images, and explore various image processing techniques Explore image transformations, including translation, resizing, and cropping Gain insights into building histograms Brush up on contour detection, filtering, and drawing Work with Augmented Reality to build marker-based and markerless applications Work with the main machine learning algorithms in OpenCV Explore the deep learning Python libraries and OpenCV deep learning capabilities Create computer vision and deep lear...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 1, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 46
    ISBN: 9781789342437 , 1789342430
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Object-oriented programming languages ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Get up to speed with creational, structural, behavioral and concurrent patterns in Delphi to write clear, concise and effective code Key Features Delve into the core patterns and components of Delphi in order to master your application's design Brush up on tricks, techniques, and best practices to solve common design and architectural challenges Choose the right patterns to improve your program's efficiency and productivity Book Description Design patterns have proven to be the go-to solution for many common programming scenarios. This book focuses on design patterns applied to the Delphi language. The book will provide you with insights into the language and its capabilities of a runtime library. You'll start by exploring a variety of design patterns and understanding them through real-world examples. This will entail a short explanation of the concept of design patterns and the original set of the 'Gang of Four' patterns, which will help you in structuring your designs efficiently. Next, you'll cover the most important 'anti-patterns' (essentially bad software development practices) to aid you in steering clear of problems during programming. You'll then learn about the eight most important patterns for each creational, structural, and behavioral type. After this, you'll be introduced to the concept of 'concurrency' patterns, which are design patterns specifically related to multithreading and parallel computation. These will enable you to develop and improve an interface between items and harmonize shared memories within threads. Toward the concluding chapters, you'll explore design patterns specific to program design and other categories of patterns that do not fall under the 'design' umbrella. By the end of this book, you'll be able to address common design problems encountered while developing applications and feel confident while building scalable projects. What you will learn Gain insights into the concept of design patterns Study modern programming techniques with Delphi Keep up to date with the latest additions and program design techniques in Delphi Get to grips with various modern multithreading approaches Discover creational, structural, behavioral, and concurrent patterns Determine how to break a design problem down into its component parts Who this book is for Hands-On Design Patterns with Delphi is aimed at beginner-level Delphi developers who want to build scalable and robust applications. Basic knowledge of Delphi is a must.
    Note: Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 47
    ISBN: 9781838648701 , 1838648704
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: Learning path
    Keywords: Cloud computing ; Application software ; Development ; Computing platforms ; Electronic books ; Electronic books ; local
    Abstract: Build cost-effective and robust cloud solutions with Google Cloud Platform (GCP) using these simple and practical recipes Key Features Explore the various service offerings of the GCP Host a Python application on Google Compute Engine Securely maintain application states with Cloud Storage, Datastore, and Bigtable Book Description GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you'll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you'll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP's development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: Google Cloud Platform for Developers Ted Hunter and Steven Porter Google Cloud Platform Cookbook by Legorie Rajan PS What you will learn Host an application using Google Cloud Functions Migrate a MySQL database to Cloud Spanner Configure a network for a highly available application on GCP Learn simple image processing using Storage and Cloud Functions Automate security checks using Policy Scanner Deploy and run services on App Engine and Container Engine Minimize downtime and mitigate issues with Stackdriver Monitoring and Debugger Integrate with big data solutions, including BigQuery, Dataflow, and Pub/Sub Who this book is for This Learning Path is for IT professionals, engineers, and developers who want to implement Google Cloud in their organizati...
    Note: Description based on online resource; title from title page (Safari, viewed May 15, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 48
    ISBN: 9781789808193 , 1789808197
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fifth edition.
    Keywords: JIRA (Computer file) ; Project management ; Computer programs ; Issues management ; Computer programs ; Electronic books ; local ; Electronic books
    Abstract: Explore the new and improved Jira 8 features such as agile board and advanced search for efficient project management Key Features Work on agile projects in Jira from both the administrator and end user's perspective Explore the improved Scrum and Kanban board and backlog Work through exercises at the end of each chapter to reinforce your skills Book Description Atlassian Jira enables effective bug tracking for your software and mobile applications and provides tools to track and manage tasks for your projects. Jira Essentials is a comprehensive guide, now updated to Jira 8 to include enhanced features such as updates to Scrum and Kanban UI, additional search capabilities, and changes to Jira Service Desk. The book starts by explaining how to plan and set up a new Jira 8 instance from scratch before getting you acquainted with key features such as emails, workflows, business processes, and much more. You'll then understand Jira's data hierarchy and how to design and work with projects. Since Jira is used for issue management, this book delves into the different issues that can arise in your projects. You'll explore fields, including custom fields, and learn to use them for more effective data collection. You'll create new screens from scratch and customize them to suit your requirements. The book also covers workflows and business processes, and guides you in setting up incoming and outgoing mail servers. Toward the end, you'll study Jira's security model and Jira Service Desk, which allows you to run Jira as a support portal. By the end of this Jira book, you will be able to implement Jira 8 in your projects with ease. What you will learn Understand Jira's data hierarchy and how to design and work with projects in Jira Use Jira for agile software projects, business process management, customer service support, and more Understand issues and work with them Design both system and custom fields to behave differently under different contexts Create and design your own screens and apply them to different project and issue types Gain an understanding of the workflow and its various components Set up both incoming and outgoing mail servers to work with e-mails Who this book is for This book will be especially useful for project managers but it's also intended for other Jira users, including developers, and any other industry besides software development, who would like to leverage Jira's powerful task management and workflow features to better manag...
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 22, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 49
    ISBN: 9781789806793 , 1789806798
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: VMware ; Virtual computer systems ; Cloud computing ; Computer networks ; Management ; Electronic books ; Electronic books ; local
    Abstract: Use self-driven data centers to reduce management complexity by deploying Infrastructure as Code to gain value from investments. Key Features Add smart capabilities in VMware Workspace ONE to deliver customer insights and improve overall security Optimize your HPC and big data infrastructure with the help of machine learning Automate your VMware data center operations with machine learning Book Description This book presents an introductory perspective on how machine learning plays an important role in a VMware environment. It offers a basic understanding of how to leverage machine learning primitives, along with a deeper look into integration with the VMware tools used for automation today. This book begins by highlighting how VMware addresses business issues related to its workforce, customers, and partners with emerging technologies such as machine learning to create new, intelligence-driven, end user experiences. You will learn how to apply machine learning techniques incorporated in VMware solutions for data center operations. You will go through management toolsets with a focus on machine learning techniques. At the end of the book, you will learn how the new vSphere Scale-Out edition can be used to ensure that HPC, big data performance, and other requirements can be met (either through development or by fine-tuning guidelines) with mainstream products. What you will learn Orchestrate on-demand deployments based on defined policies Automate away common problems and make life easier by reducing errors Deliver services to end users rather than to virtual machines Reduce rework in a multi-layered scalable manner in any cloud Explore the centralized life cycle management of hybrid clouds Use common code so you can run it across any cloud Who this book is for This book is intended for those planning, designing, and implementing the virtualization/cloud components of the Software-Defined Data Center foundational infrastructure. It helps users to put intelligence in their automation tasks to get self driving data center. It is assumed that the reader has knowledge of, and some familiarity with, virtualization concepts and related topics, including storage, security, and networking.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 50
    ISBN: 9781789807707 , 1789807700
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Windows Azure ; Cloud computing ; Computer networks ; Management ; Electronic books ; Electronic books ; local
    Abstract: Learn to distribute network traffic, optimize application delivery, and defend network-level threats. Key Features Quickly get up and running with Azure networking solutions Level-up your cloud networking skills by planning, implementing, configuring, and securing your infrastructure network with Azure Leverage Azure networking services to provide applications highly available and fault tolerant environment Book Description Microsoft provides organizations with an effective way of managing their network with Azure's networking services. No matter the size of your organization, Azure provides a way to highly reliable performance and secure connectivity with its networking services. The book starts with an introduction to the Azure networking like creating Azure virtual networks, designing address spaces and subnets. Then you will learn to create and manage network security groups, application security groups, and IP addresses in Azure. Gradually, we move on to various aspects like S2S, P2S, and Vnet2Vnet connections, DNS and routing, load balancers and traffic manager. This book will cover every aspect and function required to deliver practical recipes to help readers learn from basic cloud networking practices to planning, implementing, and securing their infrastructure network with Azure. Readers will not only be able to upscale their current environment but will also learn to monitor, diagnose, and ensure secure connectivity. After learning to deliver a robust environment readers will also gain meaningful insights from recipes on best practices. By the end of this book, readers will gain hands-on experience in providing cost-effective solutions that benefit organizations. What you will learn Learn to create Azure networking services Understand how to create and work on hybrid connections Configure and manage Azure network services Learn ways to design high availability network solutions in Azure Discover how to monitor and troubleshoot Azure network resources Learn different methods of connecting local networks to Azure virtual networks Who this book is for This book is targeted towards cloud architects, cloud solution providers, or any stakeholders dealing with networking on the Azure cloud. Some prior understanding of Microsoft Azure will be a plus point.
    Note: Description based on online resource; title from title page (Safari, viewed May 15, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 51
    ISBN: 9781789612325 , 1789612322
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: VMware ; Virtual computer systems ; Electronic books ; Electronic books ; local
    Abstract: Effectively implement features and components for any computing environment Key Features Explore the latest features of VMware Horizon 7.7 Virtualize your desktop infrastructure using new features introduced in Horizon Implement App Volumes and User Environment Manager in your infrastructure Book Description This third edition of Implementing VMware Horizon 7.7 has been updated to get you up to speed with VMware Horizon 7.7 by showing you how to use its key features and deploying an end-user computing infrastructure for your own organization. The book begins by guiding you on how to deploy all the core requirements for a VMware Horizon infrastructure. It then moves on to show you how to provision and administer end-user computing resources using VMware Horizon. You'll not only be able to deploy the core VMware Horizon features, but you'll also be able to implement new features, such as the Just-in-Time Management Platform (JMP) and the Horizon Console. You'll also focus on the latest features and components of the Horizon platform and learn when and how they are used. By the end of the book, you will have developed a solid understanding of how your organization can benefit from the capabilities VMware Horizon offers and how each of its components is implemented. What you will learn Work with the different products that make up VMware Horizon Implement a multi-site VMware Horizon Pod using the Cloud Pod Architecture feature Deploy and configure VMware Horizon's optional components Implement and maintain Microsoft RDSH, Horizon Linux, and Windows Desktop Pools and RDSH Application Pools Configure and manage Horizon remotely using PowerCLI Learn about the Microsoft Windows Group Policy templates for Horizon Understand how to manage the SSL certificates for each of the VMware Horizon components Who this book is for If you're a system administrator, solutions architect, or desktop engineer looking to level up your skills working with VMware's Horizon ecosystem and want to build a successful deployment strategy for desktops and applications, this book is for you.
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 20, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 52
    ISBN: 9781789340617 , 1789340616
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Kali Linux ; Penetration testing (Computer security) ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: A practical guide to testing your infrastructure security with Kali Linux, the preferred choice of pentesters and hackers Key Features Employ advanced pentesting techniques with Kali Linux to build highly secured systems Discover various stealth techniques to remain undetected and defeat modern infrastructures Explore red teaming techniques to exploit secured environment Book Description This book takes you, as a tester or security practitioner, through the reconnaissance, vulnerability assessment, exploitation, privilege escalation, and post-exploitation activities used by pentesters. To start with, you'll use a laboratory environment to validate tools and techniques, along with an application that supports a collaborative approach for pentesting. You'll then progress to passive reconnaissance with open source intelligence and active reconnaissance of the external and internal infrastructure. You'll also focus on how to select, use, customize, and interpret the results from different vulnerability scanners, followed by examining specific routes to the target, which include bypassing physical security and the exfiltration of data using a variety of techniques. You'll discover concepts such as social engineering, attacking wireless networks, web services, and embedded devices. Once you are confident with these topics, you'll learn the practical aspects of attacking user client systems by backdooring with fileless techniques, followed by focusing on the most vulnerable part of the network ? directly attacking the end user. By the end of this book, you'll have explored approaches for carrying out advanced pentesting in tightly secured environments, understood pentesting and hacking techniques employed on embedded peripheral devices. What you will learn Configure the most effective Kali Linux tools to test infrastructure security Employ stealth to avoid detection in the infrastructure being tested Recognize when stealth attacks are being used against your infrastructure Exploit networks and data systems using wired and wireless networks as well as web services Identify and download valuable data from target systems Maintain access to compromised systems Use social engineering to compromise the weakest part of the network - the end users Who this book is for This third edition of Mastering Kali Linux for Advanced Penetration Testing is for you if you are a security analyst, pentester, ethical hacker, IT professional, or security consultant wanting ...
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 53
    ISBN: 9781788991919 , 1788991915
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Information technology ; Management ; Database management ; Computer files ; Electronic books ; Electronic books ; local
    Abstract: Big data processing and analytics at speed and scale using command line tools. Key Features Perform string processing, numerical computations, and more using CLI tools Understand the essential components of data science development workflow Automate data pipeline scripts and visualization with the command line Book Description The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed. This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. You will learn to create a data pipeline to solve the problem of working with small-to medium-sized files on a single machine. You will understand the power of the command line, learn how to edit files using a text-based and an. You will not only learn how to automate jobs and scripts, but also learn how to visualize data using the command line. By the end of this book, you will learn how to speed up the process and perform automated tasks using command-line tools. What you will learn Understand how to set up the command line for data science Use AWK programming language commands to search quickly in large datasets. Work with files and APIs using the command line Share and collect data with CLI tools Perform visualization with commands and functions Uncover machine-level programming practices with a modern approach to data science Who this book is for This book is for data scientists and data analysts with little to no knowledge of the command line but has an understanding of data science. Perform everyday data science tasks using the power of command line tools.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 54
    ISBN: 9781788994873 , 1788994876
    Language: English
    Pages: 1 online resource (1 volume) , illustrations, maps
    Edition: Third edition.
    Keywords: Geographic information systems ; Computer programs ; Geodatabases ; Computer programs ; Cartography ; Computer programs ; Geospatial data ; Data processing ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Go beyond the basics and unleash the full power of QGIS 3.4 and 3.6 with practical, step-by-step examples Key Features One-stop solution to all of your GIS needs Master QGIS by learning about database integration, and geoprocessing tools Learn about the new and updated Processing toolbox and perform spatial analysis Book Description QGIS is an open source solution to GIS and widely used by GIS professionals all over the world. It is the leading alternative to proprietary GIS software. Although QGIS is described as intuitive, it is also, by default, complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics and getting you acquainted with the latest QGIS 3.6 updates, this book will take you all the way through to teaching you how to create a spatial database and a GeoPackage. Next, you will learn how to style raster and vector data by choosing and managing different colors. The book will then focus on processing raster and vector data. You will be then taught advanced applications, such as creating and editing vector data. Along with that, you will also learn about the newly updated Processing Toolbox, which will help you develop the advanced data visualizations. The book will then explain to you the graphic modeler, how to create QGIS plugins with PyQGIS, and how to integrate Python analysis scripts with QGIS. By the end of the book, you will understand how to work with all aspects of QGIS and will be ready to use it for any type of GIS work. What you will learn Create and manage a spatial database Get to know advanced techniques to style GIS data Prepare both vector and raster data for processing Add heat maps, live layer effects, and labels to your maps Master LAStools and GRASS integration with the Processing Toolbox Edit and repair topological data errors Automate workflows with batch processing and the QGIS Graphical Modeler Integrate Python scripting into your data processing workflows Develop your own QGIS plugins Who this book is for If you are a GIS professional, a consultant, a student, or perhaps a fast learner who wants to go beyond the basics of QGIS, then this book is for you. It will prepare you to realize the full potential of QGIS.
    Note: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed May 1, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 55
    ISBN: 9781788999700 , 1788999703
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Machine learning ; Electronic data processing ; Distributed processing ; Information visualization ; Electronic books ; Electronic books ; local
    Abstract: Speed up the design and implementation of deep learning solutions using Apache Spark Key Features Explore the world of distributed deep learning with Apache Spark Train neural networks with deep learning libraries such as BigDL and TensorFlow Develop Spark deep learning applications to intelligently handle large and complex datasets Book Description Deep learning is a subset of machine learning where datasets with several layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts and the speed at which deep learning solutions can be implemented on Apache Spark. The book starts with the fundamentals of Apache Spark and deep learning. You will set up Spark for deep learning, learn principles of distributed modeling, and understand different types of neural nets. You will then implement deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) on Spark. As you progress through the book, you will gain hands-on experience of what it takes to understand the complex datasets you are dealing with. During the course of this book, you will use popular deep learning frameworks, such as TensorFlow, Deeplearning4j, and Keras to train your distributed models. By the end of this book, you'll have gained experience with the implementation of your models on a variety of use cases. What you will learn Understand the basics of deep learning Set up Apache Spark for deep learning Understand the principles of distribution modeling and different types of neural networks Obtain an understanding of deep learning algorithms Discover textual analysis and deep learning with Spark Use popular deep learning frameworks, such as Deeplearning4j, TensorFlow, and Keras Explore popular deep learning algorithms Who this book is for If you are a Scala developer, data scientist, or data analyst who wants to learn how to use Spark for implementing efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 56
    ISBN: 9781788995283 , 1788995287
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Penetration testing (Computer security) ; Application software ; Testing ; Web applications ; Testing ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: Test, fuzz, and break web applications and services using Burp Suite's powerful capabilities Key Features Master the skills to perform various types of security tests on your web applications Get hands-on experience working with components like scanner, proxy, intruder and much more Discover the best-way to penetrate and test web applications Book Description Burp suite is a set of graphic tools focused towards penetration testing of web applications. Burp suite is widely used for web penetration testing by many security professionals for performing different web-level security tasks. The book starts by setting up the environment to begin an application penetration test. You will be able to configure the client and apply target whitelisting. You will also learn to setup and configure Android and IOS devices to work with Burp Suite. The book will explain how various features of Burp Suite can be used to detect various vulnerabilities as part of an application penetration test. Once detection is completed and the vulnerability is confirmed, you will be able to exploit a detected vulnerability using Burp Suite. The book will also covers advanced concepts like writing extensions and macros for Burp suite. Finally, you will discover various steps that are taken to identify the target, discover weaknesses in the authentication mechanism, and finally break the authentication implementation to gain access to the administrative console of the application. By the end of this book, you will be able to effectively perform end-to-end penetration testing with Burp Suite. What you will learn Set up Burp Suite and its configurations for an application penetration test Proxy application traffic from browsers and mobile devices to the server Discover and identify application security issues in various scenarios Exploit discovered vulnerabilities to execute commands Exploit discovered vulnerabilities to gain access to data in various datastores Write your own Burp Suite plugin and explore the Infiltrator module Write macros to automate tasks in Burp Suite Who this book is for If you are interested in learning how to test web applications and the web part of mobile applications using Burp, then this is the book for you. It is specifically designed to meet your needs if you have basic experience in using Burp and are now aiming to become a professional Burp user.
    Note: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 57
    ISBN: 9781789806090 , 1789806097
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and more Key Features Master machine learning, deep learning, and predictive modeling concepts in R 3.5 Build intelligent end-to-end projects for finance, retail, social media, and a variety of domains Implement smart cognitive models with helpful tips and best practices Book Description R is one of the most popular languages when it comes to performing computational statistics (statistical computing) easily and exploring the mathematical side of machine learning. With this book, you will leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. This book will help you test your knowledge and skills, guiding you on how to build easily through to complex machine learning projects. You will first learn how to build powerful machine learning models with ensembles to predict employee attrition. Next, you'll implement a joke recommendation engine and learn how to perform sentiment analysis on Amazon reviews. You'll also explore different clustering techniques to segment customers using wholesale data. In addition to this, the book will get you acquainted with credit card fraud detection using autoencoders, and reinforcement learning to make predictions and win on a casino slot machine. By the end of the book, you will be equipped to confidently perform complex tasks to build research and commercial projects for automated operations. What you will learn Explore deep neural networks and various frameworks that can be used in R Develop a joke recommendation engine to recommend jokes that match users' tastes Create powerful ML models with ensembles to predict employee attrition Build autoencoders for credit card fraud detection Work with image recognition and convolutional neural networks Make predictions for casino slot machine using reinforcement learning Implement NLP techniques for sentiment analysis and customer segmentation Who this book is for If you're a data analyst, data scientist, or machine learning developer who wants to master machine learning concepts using R by building real-world projects, this is the book for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the most out of this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 6, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 58
    ISBN: 9781789802528 , 1789802520
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Qt (Electronic resource) ; Graphical user interfaces (Computer systems) ; Design ; C++ (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Use Qt 5 to design and build functional, appealing, and user-friendly graphical user interfaces (GUIs) for your applications. Key Features Learn to use Qt 5 to design and customize the look and feel of your application Improve the visual quality of an application by using graphics rendering and animation Understand the balance of presentation and web content that will make an application appealing yet functional Book Description With the growing need to develop GUIs for multiple targets and multiple screens, improving the visual quality of your application becomes important so that it stands out from your competitors. With its cross-platform ability and the latest UI paradigms, Qt makes it possible to build intuitive, interactive, and user-friendly user interfaces for your applications. Qt5 C++ GUI Programming Cookbook, Second Edition teaches you how to develop functional and appealing user interfaces using the latest version of QT5 and C++. This book will help you learn a variety of topics such as GUI customization and animation, graphics rendering, implementing Google Maps, and more. You will also be taken through advanced concepts like asynchronous programming, event handling using signals and slots, network programming, various aspects of optimizing your application. By the end of the book, you will be confident to design and customize GUI applications that meet your clients' expectations and have an understanding of best practice solutions for common problems. What you will learn Animate GUI elements using Qt5's built-in animation system Draw shapes and 2D images using Qt5's powerful rendering system Implement an industry-standard OpenGL library in your project Build a mobile app that supports touch events and exports it onto devices Parse and extract data from an XML file and present it on your GUI Interact with web content by calling JavaScript functions from C++ Access MySQL and SQLite databases to retrieve data and display it on your GUI Who this book is for This intermediate-level book is designed for those who want to develop software using Qt 5. If you want to improve the visual quality and content presentation of your software application, this book is for you. Prior experience of C++ programming is required.
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 59
    ISBN: 9781789803198 , 1789803195
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft Cognitive Toolkit ; Neural networks (Computer science) ; Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering how you can use deep learning models in your software applications with Microsoft Cognitive Toolkit Key Features Understand the fundamentals of Microsoft Cognitive Toolkit and set up the development environment Train different types of neural networks using Cognitive Toolkit and deploy it to production Evaluate the performance of your models and improve your deep learning skills Book Description Cognitive Toolkit is a very popular and recently open sourced deep learning toolkit by Microsoft. Cognitive Toolkit is used to train fast and effective deep learning models. This book will be a quick introduction to using Cognitive Toolkit and will teach you how to train and validate different types of neural networks, such as convolutional and recurrent neural networks. This book will help you understand the basics of deep learning. You will learn how to use Microsoft Cognitive Toolkit to build deep learning models and discover what makes this framework unique so that you know when to use it. This book will be a quick, no-nonsense introduction to the library and will teach you how to train different types of neural networks, such as convolutional neural networks, recurrent neural networks, autoencoders, and more, using Cognitive Toolkit. Then we will look at two scenarios in which deep learning can be used to enhance human capabilities. The book will also demonstrate how to evaluate your models' performance to ensure it trains and runs smoothly and gives you the most accurate results. Finally, you will get a short overview of how Cognitive Toolkit fits in to a DevOps environment What you will learn Set up your deep learning environment for the Cognitive Toolkit on Windows and Linux Pre-process and feed your data into neural networks Use neural networks to make effcient predictions and recommendations Train and deploy effcient neural networks such as CNN and RNN Detect problems in your neural network using TensorBoard Integrate Cognitive Toolkit with Azure ML Services for effective deep learning Who this book is for Data Scientists, Machine learning developers, AI developers who wish to train and deploy effective deep learning models using Microsoft CNTK will find this book to be useful. Readers need to have experience in Python or similar object-oriented language like C# or Java.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 60
    ISBN: 9781789802924 , 178980292X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Solve real-world statistical problems using the most popular R packages and techniques Key Features Learn how to apply statistical methods to your everyday research with handy recipes Foster your analytical skills and interpret research across industries and business verticals Perform t-tests, chi-squared tests, and regression analysis using modern statistical techniques Book Description R is a popular programming language for developing statistical software. This book will be a useful guide to solving common and not-so-common challenges in statistics. With this book, you'll be equipped to confidently perform essential statistical procedures across your organization with the help of cutting-edge statistical tools. You'll start by implementing data modeling, data analysis, and machine learning to solve real-world problems. You'll then understand how to work with nonparametric methods, mixed effects models, and hidden Markov models. This book contains recipes that will guide you in performing univariate and multivariate hypothesis tests, several regression techniques, and using robust techniques to minimize the impact of outliers in data.You'll also learn how to use the caret package for performing machine learning in R. Furthermore, this book will help you understand how to interpret charts and plots to get insights for better decision making. By the end of this book, you will be able to apply your skills to statistical computations using R 3.5. You will also become well-versed with a wide array of statistical techniques in R that are extensively used in the data science industry. What you will learn Become well versed with recipes that will help you interpret plots with R Formulate advanced statistical models in R to understand its concepts Perform Bayesian regression to predict models and input missing data Use time series analysis for modelling and forecasting temporal data Implement a range of regression techniques for efficient data modelling Get to grips with robust statistics and hidden Markov models Explore ANOVA (Analysis of Variance) and perform hypothesis testing Who this book is for If you are a quantitative researcher, statistician, data analyst, or data scientist looking to tackle various challenges in statistics, this book is what you need! Proficiency in R programming and basic knowledge of linear algebra is necessary to follow along the recipes covered in this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 61
    ISBN: 9781789807196 , 1789807190
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: VMware vSphere ; Virtual computer systems ; Electronic books ; Electronic books ; local
    Abstract: Design a virtualized data center with VMware vSphere 6.7 Key Features Get the first book on the market that helps you design a virtualized data center with VMware vSphere 6.7 Learn how to create professional vSphere design documentation to ensure a successful implementation A practical guide that will help you apply infrastructure design principles to vSphere design Book Description VMware is the industry leader in data center virtualization. The vSphere 6.x suite of products provides a robust and resilient platform to virtualize server and application workloads. This book uses proven infrastructure design principles and applies them to VMware vSphere 6.7 virtual data center design through short and focused recipes on each design aspect. The second edition of this book focused on vSphere 6.0. vSphere features released since then necessitate an updated design guide, which includes recipes for upgrading to 6.7, vCenter HA; operational improvements; cutting-edge, high-performance storage access such as RDMA and Pmem; security features such as encrypted vMotion and VM-level encryption; Proactive HA; HA Orchestrated Restart; Predictive DRS; and more. By the end of the book, you will be able to achieve enhanced compute, storage, network, and management capabilities for your virtual data center. What you will learn Identify key factors related to a vSphere design Mitigate security risks and meet compliance requirements in a vSphere design Create a vSphere conceptual design by identifying technical and business requirements Design for performance, availability, recoverability, manageability, and security Map the logical resource design into the physical vSphere design Create professional vSphere design documentation Who this book is for If you are an administrator or consultant interested in designing virtualized data center environments using VMware vSphere 6.x (or previous versions of vSphere and the supporting components), this book is for you.
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 62
    ISBN: 9781789533989 , 1789533988
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Microsoft Windows (Computer file) ; Windows PowerShell (Computer program language) ; Command languages (Computer science) ; Scripting languages (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Grasp advanced PowerShell Core 6.0 functionalities to automate your environment Key Features Keep up with changes introduced in PowerShell Core 6.0 Easily maintain appropriate compatibility with older versions Automate complex tasks, manipulate data, and secure your environment with PowerShell Core 6.0 Book Description PowerShell scripts offer a handy way to automate various chores, however working effectively with these scripts can be a difficult task. This comprehensive guide starts with the fundamentals before moving on to advanced-level topics to help you become a PowerShell Core 6.0 expert. The first module, PowerShell Core 6.0 Fundamentals, begins with the new features of PowerShell Core 6.0, installing it on Linux, and working with parameters, objects and .NET classes from within PowerShell Core 6.0. As you make your way through the chapters, you'll see how to efficiently manage large amounts of data and interact with other services using PowerShell Core 6.0. You'll be able to make the most of PowerShell Core 6.0's powerful automation feature, where you will have different methods available to parse data and manipulate regular expressions and Windows Management Instrumentation (WMI). After having explored automation, you will enter the extending PowerShell Core 6.0 module, covering asynchronous processing and desired state configuration. In the last module, you will learn to extend PowerShell Core 6.0 using advanced scripts and filters, and also debug issues along with working on error handling techniques. By the end of this book, you will be an expert in scripting with PowerShell Core 6.0. What you will learn Optimize code through the use of functions, switches, and looping structures Work with objects and operators to test and manipulate data Parse and manipulate different data types Create scripts and functions using PowerShell Use jobs, events, and popular public modules which assist with implementing multithreading Write .NET classes with ease within the PowerShell Create and implement regular expressions in PowerShell scripts Make use of advanced techniques to define and restrict the behavior of parameters Who this book is for If you are a system administrator who wants to become an expert in controlling and automating your Windows environment, then Mastering Windows PowerShell Scripting is for you. It is also ideal for those new to the PowerShell language.
    Note: Previous edition published: 2017. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 63
    ISBN: 9781789533422 , 1789533422
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Application software ; Development ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: A practical guide for developing end-to-end serverless microservices in Python for developers, DevOps, and architects. Key Features Create a secure, cost-effective, and scalable serverless data API Use identity management and authentication for a user-specific and secure web application Go beyond traditional web hosting to explore the full range of cloud hosting options Book Description Over the last few years, there has been a massive shift from monolithic architecture to microservices, thanks to their small and independent deployments that allow increased flexibility and agile delivery. Traditionally, virtual machines and containers were the principal mediums for deploying microservices, but they involved a lot of operational effort, configuration, and maintenance. More recently, serverless computing has gained popularity due to its built-in autoscaling abilities, reduced operational costs, and increased productivity. Building Serverless Microservices in Python begins by introducing you to serverless microservice structures. You will then learn how to create your first serverless data API and test your microservice. Moving on, you'll delve into data management and work with serverless patterns. Finally, the book introduces you to the importance of securing microservices. By the end of the book, you will have gained the skills you need to combine microservices with serverless computing, making their deployment much easier thanks to the cloud provider managing the servers and capacity planning. What you will learn Discover what microservices offer above and beyond other architectures Create a serverless application with AWS Gain secure access to data and resources Run tests on your configuration and code Create a highly available serverless microservice data API Build, deploy, and run your serverless configuration and code Who this book is for If you are a developer with basic knowledge of Python and want to learn how to build, test, deploy, and secure microservices, then this book is for you. No prior knowledge of building microservices is required.
    Note: Description based on online resource; title from title page (Safari, viewed May 8, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 64
    ISBN: 9781788991490 , 1788991494
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Rust (Computer program language) ; Computer programming ; Computer algorithms ; Electronic books ; Electronic books ; local
    Abstract: Design and implement professional level programs by exploring modern data structures and algorithms in Rust. Key Features Use data structures such as arrays, stacks, trees, lists and graphs with real-world examples Learn the functional and reactive implementations of the traditional data structures Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Book Description Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. What you will learn Design and implement complex data structures in Rust Analyze, implement, and improve searching and sorting algorithms in Rust Create and use well-tested and reusable components with Rust Understand the basics of multithreaded programming and advanced algorithm design Become familiar with application profiling based on benchmarking and testing Explore the borrowing complexity of implementing algorithms Who this book is for This book is for developers seeking to use Rust solutions in a practical/professional setting; who wants to learn essential Data Structures and Algorithms in Rust. It is for developers with basic Rust language knowledge, some experience in other programming languages is required.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 15, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 65
    ISBN: 9781788998765 , 1788998766
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Reinforcement learning ; Machine learning ; Computer games ; Programming ; Neural networks (Computer science) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games Key Features Apply the power of deep learning to complex reasoning tasks by building a Game AI Exploit the most recent developments in machine learning and AI for building smart games Implement deep learning models and neural networks with Python Book Description The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development. We will take a look at the foundations of multi-layer perceptron's to using convolutional and recurrent networks. In applications from GANs that create music or textures to self-driving cars and chatbots. Then we introduce deep reinforcement learning through the multi-armed bandit problem and other OpenAI Gym environments. As we progress through the book we will gain insights about DRL techniques such as Motivated Reinforcement Learning with Curiosity and Curriculum Learning. We also take a closer look at deep reinforcement learning and in particular the Unity ML-Agents toolkit. By the end of the book, we will look at how to apply DRL and the ML-Agents toolkit to enhance, test and automate your games or simulations. Finally, we will cover your possible next steps and possible areas for future learning. What you will learn Learn the foundations of neural networks and deep learning. Use advanced neural network architectures in applications to create music, textures, self driving cars and chatbots. Understand the basics of reinforcement and DRL and how to apply it to solve a variety of problems. Working with Unity ML-Agents toolkit and how to install, setup and run the kit. Understand core concepts of DRL and the differences between discrete and continuous action environments. Use several advanced forms of learning in various scenarios from developing agents to testing games. Who this book is for This books is for game developers who wish to create highly interactive games by leveraging the power of machine and deep learning. No prior knowledge of machine learning, deep learning or neural networks is required this book will teach those concept...
    Note: Description based on online resource; title from title page (Safari, viewed May 14, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 66
    ISBN: 9781788832762 , 1788832760
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Internet of things ; Artificial intelligence ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Build smarter systems by combining artificial intelligence and the Internet of Things - two of the most talked about topics today Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Process IoT data and predict outcomes in real time to build smart IoT models Cover practical case studies on industrial IoT, smart cities, and home automation Book Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learn Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras Access and process data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms Forecast time-series data using deep learning methods Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities Gain unique insights from data obtained from wearable devices and smart devices Who this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how po...
    Note: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 67
    ISBN: 9781788833790 , 1788833791
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: MySQL (Electronic resource) ; SQL (Computer program language) ; Database management ; Relational databases ; Electronic books ; Electronic books ; local
    Abstract: Design cost-efficient database solutions, scale enterprise operations and reduce overhead business costs with MySQL Key Features Explore the new and advanced features of MySQL 8.0 Use advanced techniques to optimize MySQL performance Create MySQL-based applications for your enterprise with the help of practical examples Book Description Advanced MySQL 8 teaches you to enhance your existing database infrastructure and build various tools to improve your enterprise applications and overall website performance. The book starts with the new and exciting MySQL 8.0 features and how to utilize them for maximum efficiency. As you make your way through the chapters, you will learn to optimize MySQL performance using indexes and advanced data query techniques for large queries. You will also discover MySQL Server 8.0 settings and work with the MySQL data dictionary to boost the performance of your database. In the concluding chapters, you will cover MySQL 8.0 Group Replication, which will enable you to create elastic, highly available, and fault-tolerant replication topologies. You will also explore backup and recovery techniques for your databases and understand important tips and tricks to help your critical data reach its full potential. By the end of this book, you'll have learned about new MySQL 8.0 security features that allow a database administrator (DBA) to simplify user management and increase the security of their multi-user environments. What you will learn Explore new and exciting features of MySQL 8.0 Analyze and optimize large MySQL queries Understand MySQL Server 8.0 settings Master the deployment of Group Replication and use it in an InnoDB cluster Monitor large distributed databases Discover different types of backups and recovery methods for your databases Explore tips to help your critical data reach its full potential Who this book is for Advanced MySQL 8 is for database administrators, data architects, and database developers who want to dive deeper into building advanced database applications in the MySQL environment.
    Note: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 68
    ISBN: 9781789953121 , 178995312X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Electronic apparatus and appliances ; Design and construction ; Microcontrollers ; Programming ; Internet of things ; Electronic books ; Electronic books ; local
    Abstract: Create and program Internet of Things projects using the Espressif ESP32. Key Features Getting to know the all new powerful EPS32 boards and build interesting Internet of Things projects Configure your ESP32 to the cloud technologies and explore the networkable modules that will be utilised in your IoT projects A step-by-step guide that teaches you the basic to advanced IoT concepts with ESP32 Book Description ESP32 is a low-cost MCU with integrated Wi-Fi and BLE. Various modules and development boards-based on ESP32 are available for building IoT applications easily. Wi-Fi and BLE are a common network stack in the Internet of Things application. These network modules can leverage your business and projects needs for cost-effective benefits. This book will serve as a fundamental guide for developing an ESP32 program. We will start with GPIO programming involving some sensor devices. Then we will study ESP32 development by building a number of IoT projects, such as weather stations, sensor loggers, smart homes, Wi-Fi cams and Wi-Fi wardriving. Lastly, we will enable ESP32 boards to execute interactions with mobile applications and cloud servers such as AWS. By the end of this book, you will be up and running with various IoT project-based ESP32 chip. What you will learn Understand how to build a sensor monitoring logger Create a weather station to sense temperature and humidity using ESP32 Build your own W-iFi wardriving with ESP32. Use BLE to make interactions between ESP32 and Android Understand how to create connections to interact between ESP32 and mobile applications Learn how to interact between ESP32 boards and cloud servers Build an IoT Application-based ESP32 board Who this book is for This book is for those who want to build a powerful and inexpensive IoT projects using the ESP32.Also for those who are new to IoT, or those who already have experience with other platforms such as Arduino, ESP8266, and Raspberry Pi.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 69
    ISBN: 9781789955668 , 1789955661
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: JavaScript (Computer program language) ; Application software ; Development ; Web applications ; Electronic books ; Electronic books ; local
    Abstract: Integrate your React applications with React to build efficient web services. Key Features Learn React by building applications with Create React App Create interactive UIs exploring the latest feature of CRA 2.0 Build Progressive Web Applications for a more seamless web Book Description If you're a power user and you aren't happy always reusing default configurations, from previous applications with each new application, then all you need is Create React App (CRA), a tool in the React ecosystem designed to help you create boilerplate code for building a web frontend. This book will help you use CRA to write React programs without significant configuration-related difficulties. With this quick start guide, you will integrate your applications with React to build efficient professional web services.You will learn to design UIs with the features of CRA and template your React applications. By the end of the book, you will be sufficiently skilled to be able to build faster and effective React apps using CRA. What you will learn Become familiar with React by building applications with Create React App Make your frontend development hassle free Create interactive UIs exploring the latest features of CRA 2 Build modern, React projects with, SASS,and progressive web applications Develop proxy backend servers and simulate interaction with a full backend Keep your application fully tested and maintain confidence in your project Who this book is for The book is intended for the web developers who want to jump into building great frontend with React using easy templating solutions.
    Note: Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 70
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789808490 , 1789808499
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Information visualization ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: A quick start guide to visualize your Elasticsearch data Key Features Your hands-on guide to visualizing the Elasticsearch data as well as navigating the Elastic stack Work with different Kibana plugins and create effective machine learning jobs using Kibana Build effective dashboards and reports without any hassle Book Description The Elastic Stack is growing rapidly and, day by day, additional tools are being added to make it more effective. This book endeavors to explain all the important aspects of Kibana, which is essential for utilizing its full potential. This book covers the core concepts of Kibana, with chapters set out in a coherent manner so that readers can advance their learning in a step-by-step manner. The focus is on a practical approach, thereby enabling the reader to apply those examples in real time for a better understanding of the concepts and to provide them with the correct skills in relation to the tool. With its succinct explanations, it is quite easy for a reader to use this book as a reference guide for learning basic to advanced implementations of Kibana. The practical examples, such as the creation of Kibana dashboards from CSV data, application RDBMS data, system metrics data, log file data, APM agents, and search results, can provide readers with a number of different drop-off points from where they can fetch any type of data into Kibana for the purpose of analysis or dashboarding. What you will learn Explore how Logstash is configured to fetch CSV data Understand how to create index patterns in Kibana Become familiar with how to apply filters on data Discover how to create ML jobs Explore how to analyze APM data from APM agents Get to grips with how to save, share, inspect, and edit visualizations Understand how to find an anomaly in data Who this book is for Kibana 7 Quick Start Guide is for developers new to Kibana who want to learn the fundamentals of using the tool for visualization, as well as existing Elastic developers.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 26, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 71
    ISBN: 9781789807301 , 1789807301
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Fifth edition.
    Keywords: Captivate (Electronic resource) ; Interactive multimedia ; Authoring programs ; Presentation graphics software ; Electronic books ; local ; Electronic books
    Abstract: Create responsive eLearning content, including quizzes, demonstrations, simulations and Virtual Reality projects that fit on any device with Adobe Captivate 2019 Key Features Build responsive, interactive and highly engaging learning content with Adobe Captivate 2019 Build Virtual Reality eLearning experiences with Adobe Captivate 2019 Assess your student knowledge with interactive and random quizzes Seamlessly integrate your eLearning content with any SCORM or xAPI compliant LMS Book Description Adobe Captivate is used to create highly engaging, interactive, and responsive eLearning content. This book takes you through the production of a few pieces of eLearning content, covering all the project types and workflows of Adobe Captivate. First, you will learn how to create a typical interactive Captivate project. This will give you the opportunity to review all Captivate objects and uncover the application's main tools. Then, you will use the built-in capture engine of Captivate to create an interactive software simulation and a Video Demo that can be published as an MP4 video. Then, you will approach the advanced responsive features of Captivate to create a project that can be viewed on any device. And finally, you will immerse your learners in a 360o environment by creating Virtual Reality projects of Adobe Captivate. At the end of the book, you will empower your workflow and projects with the newer and most advanced features of the application, including variables, advanced actions, JavaScript, and using Captivate 2019 with other applications. If you want to produce high quality eLearning content using a wide variety of techniques, implement eLearning in your company, enable eLearning on any device, assess the effectiveness of the learning by using extensive Quizzing features, or are simply interested in eLearning, this book has you covered! What you will learn Learn how to use the objects in Captivate to build professional eLearning content Enhance your projects by adding interactivity, animations, and more Add multimedia elements, such as audio and video, to create engaging learning experiences Use themes to craft a unique visual experience Use question slides to create SCORM-compliant quizzes that integrate seamlessly with your LMS Make your content fit any device with responsive features of Captivate Create immersive 360B0; experiences with Virtual Reality projects of Captivate 2019 Integrate Captivate with other applications (such as Pow...
    Note: Description based on online resource; title from title page (Safari, viewed March 21, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 72
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789800814 , 1789800811
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: SQL server ; Client/server computing ; Information technology ; Management ; Electronic data processing ; Backup processing alternatives ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Leverage powerful features of the SQL Server and watch your infrastructure transform into a high-performing, reliable network of systems. Key Features Explore more than 20 real-world use cases to understand SQL Server features Get to grips with the SQL Server Always On technology Learn how to choose HA and DR topologies for your system Book Description Professional SQL Server High Availability and Disaster Recovery explains the high availability and disaster recovery technologies available in SQL Server: Replication, AlwaysOn, and Log Shipping. You'll learn what they are, how to monitor them, and how to troubleshoot any related problems. You will be introduced to the availability groups of AlwaysOn and learn how to configure them to extend your database mirroring. Through this book, you will be able to explore the technical implementations of high availability and disaster recovery technologies that you can use when you create a highly available infrastructure, including hybrid topologies. Note that this course does not cover SQL Server Failover Cluster Installation with shared storage. By the end of the book, you'll be equipped with all that you need to know to develop robust and high performance infrastructure. What you will learn Configure and troubleshoot Replication, AlwaysOn, and Log Shipping Study the best practices to implement HA and DR solutions Design HA and DR topologies for the SQL Server and study how to choose a topology for your environment Use T-SQL to configure replication, AlwaysOn, and log shipping Migrate from On-Premise SQL Server to Azure SQL Database Manage and maintain AlwaysOn availability groups for extended database mirroring Who this book is for Professional SQL Server High Availability and Disaster Recovery is for you if you are a database administrator or database developer who wants to improve the performance of your production environment. Prior experience of working with SQL Server will help you get the most out of this book.
    Note: Includes bibliographical references. - Description based on online resource; title from copyright page (Safari, viewed March 26, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 73
    ISBN: 9781789611694 , 1789611695
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Computer software ; Testing ; Automation ; Computer networks ; Security measures ; Information technology ; Security measures ; Management ; Electronic books ; Electronic books ; local
    Abstract: Your one stop guide to automating infrastructure security using DevOps and DevSecOps Key Features Secure and automate techniques to protect web, mobile or cloud services Automate secure code inspection in C++, Java, Python, and JavaScript Integrate security testing with automation frameworks like fuzz, BDD, Selenium and Robot Framework Book Description Security automation is the automatic handling of software security assessments tasks. This book helps you to build your security automation framework to scan for vulnerabilities without human intervention. This book will teach you to adopt security automation techniques to continuously improve your entire software development and security testing. You will learn to use open source tools and techniques to integrate security testing tools directly into your CI/CD framework. With this book, you will see how to implement security inspection at every layer, such as secure code inspection, fuzz testing, Rest API, privacy, infrastructure security, and web UI testing. With the help of practical examples, this book will teach you to implement the combination of automation and Security in DevOps. You will learn about the integration of security testing results for an overall security status for projects. By the end of this book, you will be confident implementing automation security in all layers of your software development stages and will be able to build your own in-house security automation platform throughout your mobile and cloud releases. What you will learn Automate secure code inspection with open source tools and effective secure code scanning suggestions Apply security testing tools and automation frameworks to identify security vulnerabilities in web, mobile and cloud services Integrate security testing tools such as OWASP ZAP, NMAP, SSLyze, SQLMap, and OpenSCAP Implement automation testing techniques with Selenium, JMeter, Robot Framework, Gauntlt, BDD, DDT, and Python unittest Execute security testing of a Rest API Implement web application security with open source tools and script templates for CI/CD integration Integrate various types of security testing tool results from a single project into one dashboard Who this book is for The book is for software developers, architects, testers and QA engineers who are looking to leverage automated security testing techniques.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 20, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 74
    ISBN: 9781789618419 , 178961841X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Go (Computer program language) ; Data structures (Computer science) ; Computer algorithms ; Electronic books ; Electronic books ; local
    Abstract: Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting Key Features Learn the basics of data structures and algorithms and implement them efficiently Use data structures such as arrays, stacks, trees, lists and graphs in real-world scenarios Compare the complexity of different algorithms and data structures for improved code performance Book Description Golang is one of the fastest growing programming languages in the software industry. Its speed, simplicity, and reliability make it the perfect choice for building robust applications. This brings the need to have a solid foundation in data structures and algorithms with Go so as to build scalable applications. Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving. The book begins with an introduction to Go data structures and algorithms. You'll learn how to store data using linked lists, arrays, stacks, and queues. Moving ahead, you'll discover how to implement sorting and searching algorithms, followed by binary search trees. This book will also help you improve the performance of your applications by stringing data types and implementing hash structures in algorithm design. Finally, you'll be able to apply traditional data structures to solve real-world problems. By the end of the book, you'll have become adept at implementing classic data structures and algorithms in Go, propelling you to become a confident Go programmer. What you will learn Improve application performance using the most suitable data structure and algorithm Explore the wide range of classic algorithms such as recursion and hashing algorithms Work with algorithms such as garbage collection for efficient memory management Analyze the cost and benefit trade-off to identify algorithms and data structures for problem solving Explore techniques for writing pseudocode algorithm and ace whiteboard coding in interviews Discover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiency Who this book is for This book is for developers who want to understand how to select the best data structures and algorithms that will help solve coding problems. Basic Go programming experience will be an added advantage.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 75
    ISBN: 9781789615043 , 1789615046
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Computer games ; Programming ; Virtual reality ; C++ (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Unreal Engine 4 for virtual reality game design, development, User Experience design techniques and Blueprint programming to create virtual reality gameplay for HTC Vive, Oculus Rift, PSVR, and Windows Mixed Reality headsets. Key Features Build VR games from scratch with the power of Unreal Engine 4 Learn User Experience design practices to take your VR game to the next level Understand the best practices to creating art for games on HTC Vive, Oculus Rift, and PSVR Book Description With the ability to put players directly in the game, virtual reality gives users the chance to experience digital worlds directly. Nevertheless, many designers are unsure where to start when working with this amazing technology. With this book, you will learn user experience design processes and create immersive gameplay experiences designed for entertainment and player comfort. Using the power of Unreal Engine 4's Blueprint visual scripting language, you will build player interaction and locomotion systems from scratch and use these flexible systems to create a sample game, as well as develop functional 2D and 3D user interfaces for players to interact with. And also learn the best practices for creating game art for virtual reality. Finally, you will learn how to test your application with your target audience and finalize your game for distribution. By the end of this book, you will have the knowledge to be able to make the leap from traditional game development to creating immersive virtual reality experiences using Unreal Engine 4. What you will learn Understand how to get started with VR development in Unreal Engine 4 Design and create interaction and locomotion systems from scratch Plan and program a sample game for VR Understand how VR affects user experience and user interfaces Discuss what is needed to create optimized art for VR Test your game with users and prepare for distribution Who this book is for The audience for this book is intermediate or advanced users of Unreal Engine 4 but who have not begun working with VR technology. These users are familiar with the game engine and have an interest in VR technology. They are just beginning to explore the VR features that the game engine has to offer.
    Note: Description based on online resource; title from title page (Safari, viewed April 10, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 76
    ISBN: 9781789611649 , 1789611644
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Windows Azure ; Cloud computing ; Architecture ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Create advanced data and integrated solutions using Azure Event Grid, functions, and containers Key Features Get familiar with the different design patterns available in Microsoft Azure Develop Azure cloud architecture and a pipeline management system Get to know the security best practices for your Azure deployment Book Description Over the years, Azure cloud services have grown quickly, and the number of organizations adopting Azure for their cloud services is also gradually increasing. Leading industry giants are finding that Azure fulfills their extensive cloud requirements. Azure for Architects ? Second Edition starts with an extensive introduction to major designing and architectural aspects available with Azure. These design patterns focus on different aspects of the cloud, such as high availability, security, and scalability. Gradually, we move on to other aspects, such as ARM template modular design and deployments. This is the age of microservices and serverless is the preferred implementation mechanism for them. This book covers the entire serverless stack available in Azure including Azure Event Grid, Azure Functions, and Azure Logic Apps. New and advance features like durable functions are discussed at length. A complete integration solution using these serverless technologies is also part of the book. A complete chapter discusses all possible options related to containers in Azure including Azure Kubernetes services, Azure Container Instances and Registry, and Web App for Containers. Data management and integration is an integral part of this book that discusses options for implementing OLTP solutions using Azure SQL, Big Data solutions using Azure Data factory and Data Lake Storage, eventing solutions using stream analytics, and Event Hubs. This book will provide insights into Azure governance features such as tagging, RBAC, cost management, and policies. By the end of this book, you will be able to develop a full-?edged Azure cloud solution that is Enterprise class and future-ready. What you will learn Create an end-to-end integration solution using Azure Serverless Stack Learn Big Data solutions and OLTP?based applications on Azure Understand DevOps implementations using Azure DevOps Architect solutions comprised of multiple resources in Azure Develop modular ARM templates Develop Governance on Azure using locks, RBAC, policies, tags and cost Learn ways to build data solutions on Azure Understand the various options related to...
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 77
    ISBN: 9781789807868 , 1789807867
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Drupal (Computer file) ; Web sites ; Authoring programs ; Web site development ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: Learn to create and customize impressive Drupal 8 modules to extend your website's functionalities Key Features Explore a plethora of Drupal 8 APIs and get the best out of them using the power of PHP coding Learn to implement efficient data management and data security by creating dedicated modules for it. Stay up to date with the changes introduced in the new Drupal 8 releases Book Description Drupal 8 comes with a release cycle that allows for new functionality to be added at a much faster pace. However, this also means code deprecations and changing architecture that you need to stay on top of. This book updates the first edition and includes the new functionality introduced in versions up to, and including 8.7. The book will first introduce you to the Drupal 8 architecture and its subsystems before diving into creating your first module with basic functionality. You will work with the Drupal logging and mailing systems, learn how to output data using the theme layer and work with menus and links programmatically. Then, you will learn how to work with different kinds of data storages, create custom entities, field types and leverage the Database API for lower level database queries. You will further see how to introduce JavaScript into your module, work with the various file systems and ensure the code you write works on multilingual sites. Finally, you will learn how to programmatically work with Views, write automated tests for your functionality and also write secure code in general. By the end, you will have learned how to develop your own custom module that can provide complex business solutions. And who knows, maybe you'll even contribute it back to the Drupal community. What you will learn Develop Drupal 8 modules that do all the things you want Master numerous Drupal 8 sub-systems and APIs in the process Model, store, manipulate and process data to serve your purposes Display data and content in a clean and secure way using the Drupal 8 theme system Test your business logic to prevent regressions Stay ahead of the curve and write code following the current best practices Who this book is for The primary target of this book is Drupal developers who want to learn how to write modules and develop in Drupal 8. It is also intended for Drupal site builders and PHP developers who have basic Object Oriented Programming skills. A little bit of Symfony experience is helpful but not mandatory.
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 78
    ISBN: 9781789535235 , 1789535239
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Windows Azure ; Application software ; Development ; Cloud computing ; Web applications ; Electronic books ; Electronic books ; local
    Abstract: Efficiently deploy and manage Kubernetes clusters on a cloud Key Features Deploy highly scalable applications with Kubernetes on Azure Leverage AKS to deploy, manage, and operations of Kubernetes Gain best practices from this guide to increase efficiency of container orchestration service on Cloud Book Description Microsoft is now one of the most significant contributors to Kubernetes open source projects. Kubernetes helps to create, configure, and manage a cluster of virtual machines that are preconfigured to run containerized applications. This book will be your resource for achieving successful container orchestration and deployment of Kubernetes clusters on Azure. You will learn how to deploy and manage highly scalable applications, along with how to set up a production-ready Kubernetes cluster on Azure. With this book, you will be able to reduce the complexity and operational overheads of managing a Kubernetes cluster on Azure. By the end of this book, you will not only be capable of deploying and managing Kubernetes clusters on Azure with ease, but also have the knowledge of industry best practices to work with advanced Azure Kubernetes Services (AKS) concepts for complex systems. What you will learn Get to grips with Microsoft AKS deployment, management, and operations Learn about the benefits of using Microsoft AKS, as well as the limitations, and avoid potential problems Integrate Microsoft toolchains such as Visual Studio Code, and Git Implement simple and advanced AKS solutions Implement the automated scalability and high reliability of secure deployments with Microsoft AKS Use kubectl commands to monitor applications Who this book is for If you're a cloud engineer, cloud solution provider, sysadmin, site reliability engineer, or a developer interested in DevOps and are looking for an extensive guide to running Kubernetes in the Azure environment then, this book is for you. Though any previous knowledge of Kubernetes is not expected, some experience with Linux and Docker containers would be beneficial.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 79
    ISBN: 9781789530704 , 1789530709
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Tableau (Computer file) ; Information visualization ; Computer programs ; Electronic books ; Electronic books ; local
    Abstract: Build, design and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep, Tableau Hyper, and Tableau Server Key Features Master new features in Tableau 2019.1 to solve real-world analytics challenges Perform Geo-Spatial Analytics, Time Series Analysis, and self-service analytics using real-life examples Build and publish dashboards and explore storytelling using Python and MATLAB integration support Book Description Tableau is one of the leading business intelligence (BI) tools used to solve BI and analytics challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. This book is also the second edition of the popular Mastering Tableau series, with new features, examples, and updated code. The book covers essential Tableau concepts and its advanced functionalities. Using Tableau Hyper and Tableau Prep, you'll be able to handle and prepare data easily. You'll gear up to perform complex joins, spatial joins, union, and data blending tasks using practical examples. Following this, you'll learn how to perform data densification to make displaying granular data easier. Next, you'll explore expert-level examples to help you with advanced calculations, mapping, and visual design using various Tableau extensions. With the help of examples, you'll also learn about improving dashboard performance, connecting Tableau Server, and understanding data visualizations. In the final chapters, you'll cover advanced use cases such as Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics, and learn to connect Tableau to R, Python, and MATLAB. By the end of this book, you'll have mastered the advanced offerings of Tableau and be able to tackle common and not-so-common challenges faced in the BI domain. What you will learn Get up to speed with various Tableau components Master data preparation techniques using Tableau Prep Discover how to use Tableau to create a PowerPoint-like presentation Understand different Tableau visualization techniques and dashboard designs Interact with the Tableau server to understand its architecture and functionalities Study advanced visualizations and dashboard creation techniques Brush up on powerful Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics Who this book is for This book is designed for business analysts, BI professionals and data analysts who want to master Tableau to solve a rang...
    Note: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 80
    ISBN: 9781789536966 , 1789536960
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: TensorFlow ; Application software ; Development ; Neural networks (Computer science) ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks. Key Features Train your own models for effective prediction, using high-level Keras API Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book Description TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains. By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques. What you will learn Use tf.Keras for fast prototyping, building, and training deep learning neural network models Easily convert your TensorFlow 1.12 applications to TensorFlow 2.0-compatible files Use TensorFlow to tackle traditional supervised and unsupervised machine learning applications Understand image recognition techniques using TensorFlow Perform neural style transfer for image hybridization using a neural network Code a recurrent neural network in TensorFlow to perform text-style generation Who this book is for Data scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will find this book useful. Some Python programming experience with version 3.6 or later, along with a familiarity with Jupyter notebooks will be an added advantage. Exposure to machine learning and neural network techniques would also be helpful.
    Note: Description based on online resource; title from title page (Safari, viewed May 1, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 81
    ISBN: 9781789341911 , 1789341914
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Android (Electronic resource) ; Spring (Software framework) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: A hands-on guide to Android programming with Spring MVC, Spring Boot, and Spring Security Key Features Build native Android applications with Spring for Android Explore Reactive programming, concurrency, and multithreading paradigms for building fast and efficient applications Write more expressive and robust code with Kotlin using its coroutines and other latest features Book Description As the new official language for Android, Kotlin is attracting new as well as existing Android developers. As most developers are still working with Java and want to switch to Kotlin, they find a combination of these two appealing. This book addresses this interest by bringing together Spring, a widely used Java SE framework for building enterprise-grade applications, and Kotlin. Learn Spring for Android Application Development will guide you in leveraging some of the powerful modules of the Spring Framework to build lightweight and robust Android apps using Kotlin. You will work with various modules, such as Spring AOP, Dependency Injection, and Inversion of Control, to develop applications with better dependency management. You'll also explore other modules of the Spring Framework, such as Spring MVC, Spring Boot, and Spring Security. Each chapter has practice exercises at the end for you to assess your learning. By the end of the book, you will be fully equipped to develop Android applications with Spring technologies. What you will learn Get to grips with the basics of the Spring Framework Write web applications using the Spring Framework with Kotlin Develop Android apps with Kotlin Connect a RESTful web service with your app using Retrofilt Understand JDBC, JPA, MySQL for Spring and SQLite Room for Android Explore Spring Security fundamentals, Basic Authentication, and OAuth2 Delve into Concurrency and Reactive programming using Kotlin Develop testable applications with Spring and Android Who this book is for If you're an aspiring Android developer or an existing developer who wants to learn how to use Spring to build robust Android applications in Kotlin, this book is for you. Though not necessary, basic knowledge of Spring will assist with understanding key concepts covered in this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 20, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 82
    ISBN: 9781789342109 , 1789342104
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Neural networks (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Implement neural network architectures by building them from scratch for multiple real-world applications. Key Features From scratch, build multiple neural network architectures such as CNN, RNN, LSTM in Keras Discover tips and tricks for designing a robust neural network to solve real-world problems Graduate from understanding the working details of neural networks and master the art of fine-tuning them Book Description This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach. We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for structured and unstructured data. Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks. We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems. Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game. By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter. What you will learn Build multiple advanced neural network architectures from scratch Explore transfer learning to perform object detection and classification Build self-driving car applications using instance and semantic segmentation Understand data encoding for image, text and recommender systems Implement text analysis using sequence-to-sequence learning Leverage a combination of CNN and RNN to perform end-to-end learning Build agents to play games using deep Q-learning Who this book is for This intermediate-level book targets beginners and intermediate-level machine learning practitioners and data scientists who have just started their journey with neural networks. This book is for those who are looking for resources to help them navigate through the various neural network architectures; you'll build multiple architectures, with concomitant case studies ordered by the complexity of the problem. A basic un...
    Note: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 83
    ISBN: 9781788996686 , 1788996682
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Kali Linux ; Penetration testing (Computer security) ; Application software ; Testing ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: Convert Android to a powerful pentesting platform. Key Features Get up and running with Kali Linux NetHunter Connect your Android device and gain full control over Windows, OSX, or Linux devices Crack Wi-Fi passwords and gain access to devices connected over the same network collecting intellectual data Book Description Kali NetHunter is a version of the popular and powerful Kali Linux pentesting platform, designed to be installed on mobile devices. Hands-On Penetration Testing with Kali NetHunter will teach you the components of NetHunter and how to install the software. You'll also learn about the different tools included and how to optimize and use a package, obtain desired results, perform tests, and make your environment more secure. Starting with an introduction to Kali NetHunter, you will delve into different phases of the pentesting process. This book will show you how to build your penetration testing environment and set up your lab. You will gain insight into gathering intellectual data, exploiting vulnerable areas, and gaining control over target systems. As you progress through the book, you will explore the NetHunter tools available for exploiting wired and wireless devices. You will work through new ways to deploy existing tools designed to reduce the chances of detection. In the concluding chapters, you will discover tips and best practices for integrating security hardening into your Android ecosystem. By the end of this book, you will have learned to successfully use a mobile penetration testing device based on Kali NetHunter and Android to accomplish the same tasks you would traditionally, but in a smaller and more mobile form factor. What you will learn Choose and configure a hardware device to use Kali NetHunter Use various tools during pentests Understand NetHunter suite components Discover tips to effectively use a compact mobile platform Create your own Kali NetHunter-enabled device and configure it for optimal results Learn to scan and gather information from a target Explore hardware adapters for testing and auditing wireless networks and Bluetooth devices Who this book is for Hands-On Penetration Testing with Kali NetHunter is for pentesters, ethical hackers, and security professionals who want to learn to use Kali NetHunter for complete mobile penetration testing and are interested in venturing into the mobile domain. Some prior understanding of networking assessment and Kali Linux will be helpful.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 84
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789615104 , 1789615100
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Information storage and retrieval systems ; Big data ; Electronic books ; Electronic books ; local
    Abstract: Discover the unified, distributed storage system and improve the performance of applications Key Features Explore the latest features of Ceph's Mimic release Get to grips with advanced disaster and recovery practices for your storage Harness the power of Reliable Autonomic Distributed Object Store (RADOS) to help you optimize storage systems Book Description Ceph is an open source distributed storage system that is scalable to Exabyte deployments. This second edition of Mastering Ceph takes you a step closer to becoming an expert on Ceph. You'll get started by understanding the design goals and planning steps that should be undertaken to ensure successful deployments. In the next sections, you'll be guided through setting up and deploying the Ceph cluster with the help of orchestration tools. This will allow you to witness Ceph's scalability, erasure coding (data protective) mechanism, and automated data backup features on multiple servers. You'll then discover more about the key areas of Ceph including BlueStore, erasure coding and cache tiering with the help of examples. Next, you'll also learn some of the ways to export Ceph into non-native environments and understand some of the pitfalls that you may encounter. The book features a section on tuning that will take you through the process of optimizing both Ceph and its supporting infrastructure. You'll also learn to develop applications, which use Librados and distributed computations with shared object classes. Toward the concluding chapters, you'll learn to troubleshoot issues and handle various scenarios where Ceph is not likely to recover on its own. By the end of this book, you'll be able to master storage management with Ceph and generate solutions for managing your infrastructure. What you will learn Plan, design and deploy a Ceph cluster Get well-versed with different features and storage methods Carry out regular maintenance and daily operations with ease Tune Ceph for improved ROI and performance Recover Ceph from a range of issues Upgrade clusters to BlueStore Who this book is for If you are a storage professional, system administrator, or cloud engineer looking for guidance on building powerful storage solutions for your cloud and on-premise infrastructure, this book is for you.
    Note: Previous edition published: 2017. - Description based on online resource; title from title page (Safari, viewed April 11, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 85
    ISBN: 9781789535211 , 1789535212
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: PostgreSQL ; Relational databases ; Application software ; Development ; Web applications ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of PostgreSQL 11 to build powerful database and data warehousing applications Key Features Monitor, secure, and fine-tune your PostgreSQL 11 database Learn client-side and server-side programming using SQL and PL/pgSQL Discover tips on implementing efficient database solutions Book Description PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch. Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You'll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You'll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you'll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You'll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance. By the end of this book, you'll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions. What you will learn Understand the basics of relational databases, relational algebra, and data modeling Install a PostgreSQL server, create a database, and implement your data model Create tables and views, define indexes and stored procedures, and implement triggers Make use of advanced data types such as Arrays, hstore, and JSONB Connect your Python applications to PostgreSQL and work with data efficiently Identify bottlenecks to enhance reliability and performance of database applications Who this book is for This book is for you if you're interested in learning about PostgreSQL from scratch. Those looking to build solid database or data warehousing applications or wanting to get up to speed with the latest features of PostgreSQL 11 will also find this book useful. No prior knowledge of database programming or administration is required to ...
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 20, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 86
    ISBN: 9781789535358 , 1789535352
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Tableau (Computer file) ; Information visualization ; Computer programs ; Visual analytics ; Data processing ; Dashboards (Management information systems) ; Industrial management ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau Server Key Features Unique problem-solution approach to aid effective business decision-making Create interactive dashboards and implement powerful business intelligence solutions Includes best practices on using Tableau with modern cloud analytics services Book Description Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem. This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL. By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features. What you will learn Understand the basic and advanced skills of Tableau Desktop Implement best practices of visualization, dashboard, and storytelling Learn advanced analytics with the use of build in statistics Deploy the multi-node server on Linux and Windows Use Tableau with big data sources such as Hadoop, Athena, and Spectrum Cover Tableau built-in functions for forecasting using R packages Combine, shape, and clean data for analysis using Tableau Prep Extend Tableau's functionalities with REST API and R/Python Who this book is for Tableau 2019.x Cookbook is for data analysts, data engineers, BI developers, and users who are looking for quick solutions to common and not-so-common problems faced while using Tableau products. Put each recipe into practice by bringing the latest offerings of Tableau 2019.x to solve real-wor...
    Note: Description based on online resource; title from title page (Safari, viewed March 20, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 87
    ISBN: 9781789342666 , 178934266X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Electronic data processing ; Distributed processing ; Management ; Big data ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark. Key Features Learn about the core concepts and the latest developments in Apache Spark Master writing efficient big data applications with Spark's built-in modules for SQL, Streaming, Machine Learning and Graph analysis Get introduced to a variety of optimizations based on the actual experience Book Description Apache Spark is a flexible framework that allows processing of batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to get started with Apache Spark 2.0 and write big data applications for a variety of use cases. It will also introduce you to Apache Spark ? one of the most popular Big Data processing frameworks. Although this book is intended to help you get started with Apache Spark, but it also focuses on explaining the core concepts. This practical guide provides a quick start to the Spark 2.0 architecture and its components. It teaches you how to set up Spark on your local machine. As we move ahead, you will be introduced to resilient distributed datasets (RDDs) and DataFrame APIs, and their corresponding transformations and actions. Then, we move on to the life cycle of a Spark application and learn about the techniques used to debug slow-running applications. You will also go through Spark's built-in modules for SQL, streaming, machine learning, and graph analysis. Finally, the book will lay out the best practices and optimization techniques that are key for writing efficient Spark applications. By the end of this book, you will have a sound fundamental understanding of the Apache Spark framework and you will be able to write and optimize Spark applications. What you will learn Learn core concepts such as RDDs, DataFrames, transformations, and more Set up a Spark development environment Choose the right APIs for your applications Understand Spark's architecture and the execution flow of a Spark application Explore built-in modules for SQL, streaming, ML, and graph analysis Optimize your Spark job for better performance Who this book is for If you are a big data enthusiast and love processing huge amount of data, this book is for you. If you are data engineer and looking for the best optimization techniques for your Spark applications, then you will find this book helpful. This book also helps data scientists who want to implement their mach...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 88
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: JIRA (Computer file) ; Issues management ; Computer programs ; Project management ; Computer programs ; Electronic books ; Electronic books ; local
    Abstract: Leverage Jira's powerful task management and workflow features to better manage your business processes Key Features The book covers all major applications of Jira, which are Jira Software, Jira Core, Jira Service Desk. Configure project workflows and the fields that will be used in the project with the help of Jira's features Create tickets for issues and manage your projects using the Jira software Book Description Jira is an issue tracker and project management system. With their latest release, the Jira team has now expanded their user base to agile teams as well as business teams. This book provides a comprehensive explanation covering all major components of Jira, including Jira Software, Jira Core, and Jira Service Desk. This book starts with an introduction to Jira's unique features and how it can be used as an issue-tracking tool. It will then teach you about how a new project is created by a Jira administrator, what responsibilities there are, and using correct and relevant schemes in your project. You will then learn how to configure project workflows and fields for project screens. You will understand the various permissions used in projects and the importance of project roles in Jira. Then, the book talks about the concepts of versions acting as milestones and using components when handling issues in your projects. It will then focus on analysing data using built-in reports and creating dashboards in Jira. At the end, it will discuss various best practices for users as well as project managers or project administrators. What you will learn Implement Jira as a project administrator or project manager Get familiar with various functionalities of Jira Configure projects and boards in your organisation's Jira instance Understand how and when to use components and versions in your projects Manage project configurations and Jira schemes Learn the best practices to manage your Jira instance Who this book is for This book will be especially useful for project managers but it's also intended for other Jira users, including developers, and any other industry besides software development, who would like to use Jira for project management.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 13, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 89
    ISBN: 9781789344233 , 1789344239
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Application software ; Development ; OCaml (Computer program language) ; Functional programming (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: A hands on approach to learning ReasonML from the perspective of a web developer. Key Features Hands on learning by building a real world app shell that includes client-side routing and more. Understand Reason's ecosystem including BuckleScript and various npm workflows. Learn how Reason differs from TypeScript and Flow, and how to use it to make refactoring less stressful. Book Description ReasonML, also known as Reason, is a new syntax and toolchain for OCaml that was created by Facebook and is meant to be approachable for web developers. Although OCaml has several resources, most of them are from the perspective of systems development. This book, alternatively, explores Reason from the perspective of web development. You'll learn how to use Reason to build safer, simpler React applications and why you would want to do so. Reason supports immutability by default, which works quite well in the context of React. In learning Reason, you will also learn about its ecosystem ? BuckleScript, JavaScript interoperability, and various npm workflows. We learn by building a real-world app shell, including a client-side router with page transitions, that we can customize for any Reason project. You'll learn how to leverage OCaml's excellent type system to enforce guarantees about business logic, as well as preventing runtime type errors.You'll also see how the type system can help offload concerns that we once had to keep in our heads. We'll explore using CSS-in-Reason, how to use external JSON in Reason, and how to unit-test critical business logic. By the end of the book, you'll understand why Reason is exploding in popularity and will have a solid foundation on which to continue your journey with Reason. What you will learn Learn why Reason is exploding in popularity and why it's the future of React Become familiar with Reason's syntax and semantics Learn about Reason's ecosystem: BuckleScript and JavaScript interoperability Learn how to build React applications with Reason Learn how to use Reason's type system as a tool to provide amazing guarantees Gain a solid foundation on which to continue your journey Who this book is for The target audience of this book is web developers who are somewhat familiar with ReactJS and who want to learn why ReasonML is the future of ReactJS.
    Note: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 90
    ISBN: 9781789959000 , 1789959004
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Information technology ; Automation ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Design, develop, and solve real-world automation and orchestration problems by unlocking the automation capabilities of Ansible. Key Features Tackle complex automation challenges with the newly added features in Ansible 2.7 Book Description Automation is essential for success in the modern world of DevOps. Ansible provides a simple, yet powerful, automation engine for tackling complex automation challenges. This book will take you on a journey that will help you exploit the latest version's advanced features to help you increase efficiency and accomplish complex orchestrations. This book will help you understand how Ansible 2.7 works at a fundamental level and will also teach you to leverage its advanced capabilities. Throughout this book, you will learn how to encrypt Ansible content at rest and decrypt data at runtime. Next, this book will act as an ideal resource to help you master the advanced features and capabilities required to tackle complex automation challenges. Later, it will walk you through workflows, use cases, orchestrations, troubleshooting, and Ansible extensions. Lastly, you will examine and debug Ansible operations, helping you to understand and resolve issues. By the end of the book, you will be able to unlock the true power of the Ansible automation engine and tackle complex, real- world actions with ease. What you will learn Gain an in-depth understanding of how Ansible works under the hood Fully automate Ansible playbook executions with encrypted data Access and manipulate variable data within playbooks Use blocks to perform failure recovery or cleanup Explore the Playbook debugger and the Ansible Console Troubleshoot unexpected behavior effectively Work with cloud infrastructure providers and container systems Develop custom modules, plugins, and dynamic inventory sources Who this book is for This book is for Ansible developers and operators who have an understanding of its core elements and applications but are now looking to enhance their skills in applying automation using Ansible.
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 91
    ISBN: 9781789800753 , 1789800757
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Python (Computer program language) ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key Features Learn and implement machine learning algorithms in a variety of real-life scenarios Cover a range of tasks catering to supervised, unsupervised and reinforcement learning techniques Find easy-to-follow code solutions for tackling common and not-so-common challenges Book Description This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions, dedicated sections in the book will help you to apply supervised and unsupervised learning techniques to real-world problems. Toward the concluding chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and automated machine learning. By the end of this book, you will be equipped with the skills you need to apply machine learning techniques and leverage the full capabilities of the Python ecosystem through real-world examples. What you will learn Use predictive modeling and apply it to real-world problems Explore data visualization techniques to interact with your data Learn how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Get well versed with reinforcement learning, automated ML, and transfer learning Work with image data and build systems for image recognition and biometric face recognition Use deep neural networks to build an optical character recognition system Who this book is for This book is for data scientists, machine learning developers, deep learning enthusiasts and Python programmers who want to solve real-world challenges using machine-learning techniques and algorithms. If you are facing challenges at work and want ready-to-use code solutions to cover key tasks in machine learning and the deep learning domain, then this book is w...
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 92
    ISBN: 9781789809589 , 1789809584
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Microsoft Windows server ; Client/server computing ; Electronic books ; Electronic books ; local
    Abstract: Enhance and secure your datacenter with the newest Microsoft server platform Key Features Develop necessary skills to design and implement Microsoft Server 2019 in enterprise environment Provide support to your medium to large enterprise and leverage your experience in administering Microsoft Server 2019 Effectively administering Windows server 2019 with the help of practical examples Book Description Mastering Windows Server 2019 ? Second Edition covers all of the essential information needed to implement and utilize this latest-and-greatest platform as the core of your data center computing needs. You will begin by installing and managing Windows Server 2019, and by clearing up common points of confusion surrounding the versions and licensing of this new product. Centralized management, monitoring, and configuration of servers is key to an efficient IT department, and you will discover multiple methods for quickly managing all of your servers from a single pane of glass. To this end, you will spend time inside Server Manager, PowerShell, and even the new Windows Admin Center, formerly known as Project Honolulu. Even though this book is focused on Windows Server 2019 LTSC, we will still discuss containers and Nano Server, which are more commonly related to the SAC channel of the server platform, for a well-rounded exposition of all aspects of using Windows Server in your environment. We also discuss the various remote access technologies available in this operating system, as well as guidelines for virtualizing your data center with Hyper-V. By the end of this book, you will have all the ammunition required to start planning for, implementing, and managing Windows. What you will learn Work with the updated Windows Server 2019 interface, including Server Core and Windows Admin Center Secure your network and data with new technologies in Windows Server 2019 Learn about containers and understand the appropriate situations to use Nano Server Discover new ways to integrate your data center with Microsoft Azure Harden your Windows Servers to help keep the bad guys out Virtualize your data center with Hyper-V Who this book is for If you are a System Administrator or an IT professional interested in designing and deploying Windows Server 2019 then this book is for you. Previous experience of Windows Server operating systems and familiarity with networking concepts is required.
    Note: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed April 25, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 93
    ISBN: 9781789612271 , 1789612276
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft Azure (Computing platform) ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: Compose and decompose ARM templates and use advanced concepts like looping, conditions, dependencies, PowerShell and Desired State Configuration. Key Features Design, implement, and unit test ARM templates Develop and deploy ARM templates following security best practices Book Description Azure Resource Manager (ARM) templates are declarations of Azure resources in the JSON format to provision and maintain them using infrastructure as code. This book gives practical solutions and examples for provisioning and managing various Azure services using ARM templates. The book starts with an understanding of infrastructure as code, a refresher on JSON, and then moves on to explain the fundamental concepts of ARM templates. Important concepts like iteration, conditional evaluation, security, usage of expressions, and functions will be covered in detail. You will use linked and nested templates to create modular ARM templates. You will see how to create multiple instances of the same resources, how to nest and link templates, and how to establish dependencies between them. You will also learn about implementing design patterns, secure template design, the unit testing of ARM templates, and adopting best practices. By the end of this book, you will understand the entire life cycle of ARM templates and their testing, and be able to author them for complex deployments. What you will learn Understand the foundations of ARM templates including nested and linked templates Design, create, and unit test ARM templates using best practices Learn about conditional deployments, looping, Custom Script Extensions using PowerShell, Bash, and DSC Implement design patterns related to ARM templates Run post-deployment PowerShell and Desired State Configuration scripts Create solutions and deploy them on Azure using ARM templates Who this book is for This books is for developers, DevOps engineers, and architects who have experience in Azure.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 22, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 94
    ISBN: 9781838552138 , 1838552138
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Neural networks (Computer science) ; Java (Computer program language) ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of Java and deep learning to build production-grade Computer Vision applications Key Features Build real-world Computer Vision applications using the power of neural networks Implement image classification, object detection, and face recognition Know best practices on effectively building and deploying deep learning models in Java Book Description Although machine learning is an exciting world to explore, you may feel confused by all of its theoretical aspects. As a Java developer, you will be used to telling the computer exactly what to do, instead of being shown how data is generated; this causes many developers to struggle to adapt to machine learning. The goal of this book is to walk you through the process of efficiently training machine learning and deep learning models for Computer Vision using the most up-to-date techniques. The course is designed to familiarize you with neural networks, enabling you to train them efficiently, customize existing state-of-the-art architectures, build real-world Java applications, and get great results in a short space of time. You will build real-world Computer Vision applications, ranging from a simple Java handwritten digit recognition model to real-time Java autonomous car driving systems and face recognition models. By the end of this book, you will have mastered the best practices and modern techniques needed to build advanced Computer Vision Java applications and achieve production-grade accuracy. What you will learn Discover neural Networks and their applications in Computer Vision Explore the popular Java frameworks and libraries for deep learning Build deep neural networks in Java Implement an end-to-end image classification application in Java Perform real-time video object detection using deep learning Enhance performance and deploy applications for production Who this book is for This book is for data scientists, machine learning developers and deep learning practitioners with Java knowledge who want to implement machine learning and deep neural networks in the computer vision domain. You will need to have a basic knowledge of Java programming.
    Note: Description based on online resource; title from title page (Safari, viewed April 2, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 95
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789617245 , 1789617243
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Application software ; Development ; Computer software ; Development ; Software architecture ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: A journey toward containerized applications in production with a cloud-portable, secure, robust and highly available Docker Enterprise platform. Key Features Get an insider's view into the container movement and Docker Enterprise Manage the transformation associated with enterprise container adoption Walk through the enterprise container adoption journey Book Description While known mostly as the open source engine behind tens of millions of server nodes, Docker also offers commercially supported enterprise tooling known as the Docker Enterprise. This platform leverages the deep roots from Docker Engine - Community (formerly Docker CE) and Kubernetes, but adds support and tooling to efficiently operate a secure container platform at scale. With hundreds of enterprises on board, best practices and adoption patterns are emerging rapidly. These learning points can be used to inform adopters and help manage the enterprise transformation associated with enterprise container adoption. This book starts by explaining the case for Docker Enterprise, as well as its structure and reference architecture. From there, we progress through the PoC,pilot and production stages as a working model for adoption, evolving the platform's design and configuration for each stage and using detailed application examples along the way to clarify and demonstrate important concepts.The book concludes with Docker's impact on other emerging software technologies, such as Blockchain and Serverless computing. By the end of this book, you'll have a better understanding of what it takes to get your enterprise up and running with Docker Enterprise and beyond. What you will learn Understand why containers are important to an enterprise Understand the features and components of Docker Enterprise 2 Find out about the PoC, pilot, and production adoption phases Get to know the best practices for installing and operating Docker Enterprise Understand what is important for a Docker Enterprise in production Run Kubernetes on Docker Enterprise Who this book is for This book is for Software Architects, DevOps Engineers, Tech Ops, Docker professionals, or any IT professional working with Docker and containers who wants to move containerized workloads to production. This book discusses the enterprise adoption of Docker and Kubernetes,therefore a basic understanding of Docker concepts will be helpful.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 11, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 96
    ISBN: 9781789806342 , 1789806348
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Application software ; Development ; Web applications ; JavaScript (Computer program language) ; Web sites ; Design ; Electronic books ; Electronic books ; local
    Abstract: Integrate Redux with React and other front-end JavaScript frameworks efficiently and manage application states effectively Key Features Get better at building web applications with state management using Redux Learn the fundamentals of Redux to structure your app more efficiently This guide will teach you develop complex apps that would be easier to maintain Book Description Starting with a detailed overview of Redux, we will follow the test-driven development (TDD) approach to develop single-page applications. We will set up JEST for testing and use JEST to test React, Redux, Redux-Sage, Reducers, and other components. We will then add important middleware and set up immutableJS in our application. We will use common data structures such as Map, List, Set, and OrderedList from the immutableJS framework. We will then add user interfaces using ReactJS, Redux-Form, and Ant Design. We will explore the use of react-router-dom and its functions. We will create a list of routes that we will need in order to create our application, and explore routing on the server site and create the required routes for our application. We will then debug our application and integrate Redux Dev tools. We will then set up our API server and create the API required for our application. We will dive into a modern approach to structuring our server site components in terms of Model, Controller, Helper functions, and utilities functions. We will explore the use of NodeJS with Express to build the REST API components. Finally, we will venture into the possibilities of extending the application for further research, including deployment and optimization. What you will learn Follow the test-driven development (TDD) approach to develop a single-page application Add important middleware, such as Redux store middleware, redux-saga middleware, and language middleware, to your application Understand how to use immutableJS in your application Build interactive components using ReactJS Configure react-router-redux and explore the differences between react-router-dom and react-router-redux Use Redux Dev tools to debug your application Set up our API server and create the API required for our application Who this book is for This book is meant for JavaScript developers interesting in learning state management and building easy to maintain web applications.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 97
    ISBN: 9781789537475 , 1789537479
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: TypeScript (Computer program language) ; Web applications ; Electronic books ; Electronic books ; local
    Abstract: Master the TypeScript language and its latest features. Explore modern application frameworks and utilize industry best practices in TDD, OOP and UI Design. Key Features Learn the key features of TypeScript 3 and explore advanced language features through in-depth discussions. Use TypeScript with modern frameworks including Backbone, Angular, Aurelia, React, and Node. Explore TDD practices, OOP techniques, and industry best practices to create high-quality, modular, and adaptable applications. Book Description TypeScript is both a language and a set of tools to generate JavaScript. It was designed by Anders Hejlsberg at Microsoft to help developers write enterprise-scale JavaScript. Starting with an introduction to the TypeScript language, before moving on to basic concepts, each section builds on previous knowledge in an incremental and easy-to-understand way. Advanced and powerful language features are all covered, including asynchronous programming techniques, decorators, and generics. This book explores many modern JavaScript and TypeScript frameworks side by side in order for the reader to learn their respective strengths and weaknesses. It will also thoroughly explore unit and integration testing for each framework. Best-of-breed applications utilize well-known design patterns in order to be scalable, maintainable, and testable. This book explores some of these object-oriented techniques and patterns, and shows real-world implementations. By the end of the book, you will have built a comprehensive, end-to-end web application to show how TypeScript language features, design patterns, and industry best practices can be brought together in a real-world scenario. What you will learn Gain insights into core and advanced TypeScript language features Integrate existing JavaScript libraries and third-party frameworks using declaration files Target popular JavaScript frameworks, such as Angular, React, and more Create test suites for your application with Jasmine and Selenium Organize your application code using modules, AMD loaders, and SystemJS Explore advanced object-oriented design principles Compare the various MVC implementations in Aurelia, Angular, React, and more Who this book is for This guide to the TypeScript that starts with basic concepts, and then builds on this knowledge to introduce more advanced language features and frameworks. No prior knowledge of JavaScript is required, although some prior programming experience is assumed. ...
    Note: Previous edition published: 2017. - Description based on online resource; title from title page (Safari, viewed March 18, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 98
    ISBN: 9781789533347 , 1789533341
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Your one-stop guide to learning and implementing artificial neural networks with Keras effectively Key Features Design and create neural network architectures on different domains using Keras Integrate neural network models in your applications using this highly practical guide Get ready for the future of neural networks through transfer learning and predicting multi network models Book Description Neural networks are used to solve a wide range of problems in different areas of AI and deep learning. Hands-On Neural Networks with Keras will start with teaching you about the core concepts of neural networks. You will delve into combining different neural network models and work with real-world use cases, including computer vision, natural language understanding, synthetic data generation, and many more. Moving on, you will become well versed with convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM) networks, autoencoders, and generative adversarial networks (GANs) using real-world training datasets. We will examine how to use CNNs for image recognition, how to use reinforcement learning agents, and many more. We will dive into the specific architectures of various networks and then implement each of them in a hands-on manner using industry-grade frameworks. By the end of this book, you will be highly familiar with all prominent deep learning models and frameworks, and the options you have when applying deep learning to real-world scenarios and embedding artificial intelligence as the core fabric of your organization. What you will learn Understand the fundamental nature and workflow of predictive data modeling Explore how different types of visual and linguistic signals are processed by neural networks Dive into the mathematical and statistical ideas behind how networks learn from data Design and implement various neural networks such as CNNs, LSTMs, and GANs Use different architectures to tackle cognitive tasks and embed intelligence in systems Learn how to generate synthetic data and use augmentation strategies to improve your models Stay on top of the latest academic and commercial developments in the field of AI Who this book is for This book is for machine learning practitioners, deep learning researchers and AI enthusiasts who are looking to get well versed with different neural network architecture using Keras. Working knowledge of Python programming language is mandatory.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 99
    ISBN: 9781789530438 , 1789530431
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Application software ; Development ; Information technology ; Management ; Software architecture ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of Kubernetes to build an efficient software delivery pipeline. Key Features Learn about DevOps, containers, and Kubernetes all within one handy book A practical guide to container management and orchestration Learn how to monitor, log, and troubleshoot your Kubernetes applications Book Description Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry. This book is a guide to everything you need to know about Kubernetes - from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization. With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we'll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure. What you will learn Learn fundamental and advanced DevOps skills and tools Get a comprehensive understanding of containers Dockerize an application Administrate and manage Kubernetes cluster Extend the cluster functionality with custom resources Understand Kubernetes network and service mesh Implement Kubernetes logging and monitoring Manage Kubernetes services in Amazon Web Services, Google Cloud Platform,and Microsoft Azure Who this book is for This book is for anyone who wants to learn containerization and clustering in a practical way using Kubernetes. No prerequisite skills are required, however, essential DevOps skill and public/private Cloud knowledge will accelerate the reading speed. If you're advanced, you can get a deeper understanding of all the tools and technique described in the book.
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 100
    ISBN: 9781789349276 , 1789349273
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Artificial intelligence ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Discover the skill-sets required to implement various approaches to Machine Learning with Python Key Features Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more Build your own neural network models using modern Python libraries Practical examples show you how to implement different machine learning and deep learning techniques Book Description Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python. This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images. By the end of this book, you will have learned the art of unsupervised learning for different real-world challenges. What you will learn Use cluster algorithms to identify and optimize natural groups of data Explore advanced non-linear and hierarchical clustering in action Soft label assignments for fuzzy c-means and Gaussian mixture models Detect anomalies through density estimation Perform principal component analysis using neural network models Create unsupervised models using GANs Who this book is for This book is intended for statisticians, data scientists, machine learning developers, and deep learning practitioners who want to build smart applications by implementing key building block unsupervised learning, and master all the new techniques and algorithms offered in machine learning and deep learning using real-world examples. Some prior knowledge of machine learning concepts and statistics is desirable.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...