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  • Online Resource  (2,111)
  • Birmingham, UK : Packt Publishing
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  • Online Resource  (2,111)
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  • 1
    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
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  • 2
    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
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  • 3
    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
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  • 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
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  • 5
    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
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  • 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
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  • 7
    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
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  • 8
    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
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  • 9
    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
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  • 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
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  • 11
    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
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  • 12
    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
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  • 13
    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)
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  • 14
    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
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  • 15
    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
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  • 16
    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
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  • 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
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  • 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
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  • 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
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  • 20
    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
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  • 21
    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.
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  • 22
    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.
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  • 23
    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.
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  • 24
    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
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  • 25
    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.
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  • 26
    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
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  • 27
    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
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  • 28
    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.
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  • 29
    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
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  • 30
    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.
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  • 31
    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#.
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  • 32
    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.
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  • 33
    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
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  • 34
    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)
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  • 35
    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
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  • 36
    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.
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  • 37
    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.
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  • 38
    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.
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  • 39
    ISBN: 9781838644994 , 1838644997
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Dashboards (Management information systems) ; Business intelligence ; Computer programs ; Electronic books ; Electronic books ; local
    Abstract: A step-by-step approach to building stunning dashboards with QlikView Key Features Perform effective storytelling through interactive dashboards built with QlikView Create different types of visualizations from a variety of data sources Includes tips, tricks, and best practices to perform effective Business Intelligence using QlikView Book Description QlikView is one of the market leaders when it comes to building effective Business Intelligence solutions. This book will show how you can leverage its power to build your own dashboards to tell your own data story. The book starts with showing you how to connect your data to QlikView and create your own QlikView application. You will learn how to add data from multiple sources, create a data model by joining data, and then review it on the front end. You will work with QlikView components such as charts, list boxes, input boxes, and text objects to create stunning visualizations that help give actionable business insights. You will also learn how to perform analysis on your data in QlikView and master the various types of security measures to be taken in QlikView. By the end of this book, you will have all the essential knowledge required for insightful data storytelling and creating useful BI dashboards using QlikView. What you will learn Learn to use the latest and newest features of QlikView Connect QlikView to various data sources, such as databases and websites Create a fully featured data model without circular references Display your data in maps, charts, and text across multiple sheets Apply set analysis to your data in QlikView expressions Secure your data based on the various audience types Who this book is for This book is best suited for BI professionals, data analysts and budding QlikView developers who wish to build effective dashboards using QlikView. Some basic understanding of the data visualization concepts and Business Intelligence is required.
    Note: Description based on online resource; title from title page (Safari, viewed April 24, 2019)
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  • 40
    ISBN: 9781838646974 , 1838646973
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Learning path
    Keywords: Computer networks ; Security measures ; Evaluation ; Computer network protocols ; Security measures ; Evaluation ; Electronic books ; Electronic books ; local
    Abstract: Plug the gaps in your network's infrastructure with resilient network security models Key Features Develop a cost-effective and end-to-end vulnerability management program Explore best practices for vulnerability scanning and risk assessment Understand and implement network enumeration with Nessus and Network Mapper (Nmap) Book Description Digitization drives technology today, which is why it's so important for organizations to design security mechanisms for their network infrastructures. Analyzing vulnerabilities is one of the best ways to secure your network infrastructure. This Learning Path begins by introducing you to the various concepts of network security assessment, workflows, and architectures. You will learn to employ open source tools to perform both active and passive network scanning and use these results to analyze and design a threat model for network security. With a firm understanding of the basics, you will then explore how to use Nessus and Nmap to scan your network for vulnerabilities and open ports and gain back door entry into a network. As you progress through the chapters, you will gain insights into how to carry out various key scanning tasks, including firewall detection, OS detection, and access management to detect vulnerabilities in your network. By the end of this Learning Path, you will be familiar with the tools you need for network scanning and techniques for vulnerability scanning and network protection. This Learning Path includes content from the following Packt books: Network Scanning Cookbook by Sairam Jetty Network Vulnerability Assessment by Sagar Rahalkar What you will learn Explore various standards and frameworks for vulnerability assessments and penetration testing Gain insight into vulnerability scoring and reporting Discover the importance of patching and security hardening Develop metrics to measure the success of a vulnerability management program Perform configuration audits for various platforms using Nessus Write custom Nessus and Nmap scripts on your own Install and configure Nmap and Nessus in your network infrastructure Perform host discovery to identify network devices Who this book is for This Learning Path is designed for security analysts, threat analysts, and security professionals responsible for developing a network threat model for an organization. Professionals who want to be part of a vulnerability management team and implement an end-to-end robust vulnerability management progra...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 41
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789951462 , 1789951461
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Machine learning ; Data mining ; Electronic books ; Electronic books ; local
    Abstract: Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data. Key Features Build state-of-the-art algorithms that can solve your business' problems Learn how to find hidden patterns in your data Revise key concepts with hands-on exercises using real-world datasets Book Description Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. This book begins with the most important and commonly used method for unsupervised learning - clustering - and explains the three main clustering algorithms - k-means, divisive, and agglomerative. Following this, you'll study market basket analysis, kernel density estimation, principal component analysis, and anomaly detection. You'll be introduced to these methods using code written in R, with further instructions on how to work with, edit, and improve R code. To help you gain a practical understanding, the book also features useful tips on applying these methods to real business problems, including market segmentation and fraud detection. By working through interesting activities, you'll explore data encoders and latent variable models. By the end of this book, you will have a better understanding of different anomaly detection methods, such as outlier detection, Mahalanobis distances, and contextual and collective anomaly detection. What you will learn Implement clustering methods such as k-means, agglomerative, and divisive Write code in R to analyze market segmentation and consumer behavior Estimate distribution and probabilities of different outcomes Implement dimension reduction using principal component analysis Apply anomaly detection methods to identify fraud Design algorithms with R and learn how to edit or improve code Who this book is for Applied Unsupervised Learning with R is designed for business professionals who want to learn about methods to understand their data better, and developers who have an interest in unsupervised learning. Although the book is for beginners, it will be beneficial to have some basic, beginner-level familiarity with R. This includes an understanding of how to open the R console, how to read data, and how to create a loop. To easily understand the concepts of this book, you should also know basic mathematical concepts, including ex...
    Note: Includes bibliographical references. - Description based on online resource; title from copyright page (Safari, viewed May 15, 2019)
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  • 42
    ISBN: 9781789954876 , 1789954878
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: JIRA (Computer file) ; Computer software ; Testing ; Electronic books ; Electronic books ; local
    Abstract: Learn best practices for testing with Jira and model industry workflows that can be used during the software development lifecycle Key Features Integrate Jira with test management tools such as Zephyr, Test Management, and SynapseRT Understand test case management, traceability, and test execution with reports Implement continuous integration using Jira, Jenkins, and automated testing tools Book Description Hands-On Test Management with Jira begins by introducing you to the basic concepts of Jira and takes you through real-world software testing processes followed by various organizations. As you progress through the chapters, the book explores and compares the three most popular Jira plugins - Zephyr, Test Management, and synapseRT. With this book, you'll gain a practical understanding of test management processes using Jira. You'll learn how to create and manage projects, create Jira tickets to manage customer requirements, and track Jira tickets. You'll also understand how to develop test plans, test cases, and test suites, and create defects and requirement traceability matrices, as well as generating reports in Jira. Toward the end, you'll understand how Jira can help the SQA teams to use the DevOps pipeline for automating execution and managing test cases. You'll get to grips with configuring Jira with Jenkins to execute automated test cases in Selenium. By the end of this book, you'll have gained a clear understanding of how to model and implement test management processes using Jira. What you will learn Understand QMS to effectively implement quality systems in your organization Explore a business-driven structured approach to Test Management using TMap NEXT Implement different aspects of test planning, test strategy, and test execution Organize and manage Agile projects in Scrum and Kanban Uncover Jira plugins available in the Atlassian Marketplace for testing and project management Configure a DevOps pipeline for continuous integration using Jira with Jenkins Who this book is for If you're a quality assurance professional, software project manager, or test manager interested in learning test management best practices in your team or organization, this book is for you. Prior knowledge of test management and Jenkins will be beneficial in understanding the concepts covered in this book.
    Note: Description based on online resource; title from title page (Safari, viewed April 2, 2019)
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  • 43
    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)
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  • 44
    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)
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  • 45
    ISBN: 9781789803372 , 1789803373
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Microsoft Visual studio ; Computer games ; Programming ; UnrealScript (Computer program language) ; C++ (Computer program language) ; Computer games ; Design ; Electronic books ; Electronic books ; local
    Abstract: Write efficient, reusable scripts to build custom characters, game environments, and control enemy AI Key Features Build captivating multiplayer games using Unreal Engine and C++ Incorporate existing C++ libraries into your game to add extra functionality such as hardware integration Practical solutions for memory management, error handling, inputs, and collision for your game codebase Book Description Unreal Engine 4 (UE4) is a popular and award-winning game engine that powers some of the most popular games. A truly powerful tool for game development, there has never been a better time to use it for both commercial and independent projects. With more than 100 recipes, this book shows how to unleash the power of C++ while developing games with Unreal Engine. This book takes you on a journey to jumpstart your C++ and UE4 development skills. You will start off by setting up UE4 for C++ development and learn how to work with Visual Studio, a popular code editor. You will learn how to create C++ classes and structs the Unreal way. This will be followed by exploring memory management, smart pointers, and debugging your code. You will then learn how to make your own Actors and Components through code and how to handle input and collision events. You will also get exposure to many elements of game development including creating user interfaces, artificial intelligence, and writing code with networked play in mind. You will also learn how to add on to the Unreal Editor itself. With a range of task-oriented recipes, this book provides actionable information about writing code for games with UE4 using C++. By the end of the book, you will be empowered to become a top-notch developer with UE4 using C++ as your scripting language! What you will learn Create C++ classes and structs that integrate well with UE4 and the Blueprints editor Discover how to work with various APIs that Unreal Engine already contains Utilize advanced concepts such as events, delegates, and interfaces in your UE4 projects Build user interfaces using Canvas and UMG through C++ Extend the Unreal Editor by creating custom windows and editors Implement AI tasks and services using C++, Blackboard, and Behavior Trees Write C++ code with networking in mind and replicate properties and functions Who this book is for If you are really passionate game developer looking for solutions to common scripting problems, then this is the book for you. Understanding of the fundamentals of game design ...
    Note: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 46
    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)
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  • 47
    ISBN: 9781789613568 , 1789613566
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Machine learning ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications Key Features Build independent machine learning (ML) systems leveraging the best features of R 3.5 Understand and apply different machine learning techniques using real-world examples Use methods such as multi-class classification, regression, and clustering Book Description Given the growing popularity of the R-zerocost statistical programming environment, there has never been a better time to start applying ML to your data. This book will teach you advanced techniques in ML ,using? the latest code in R 3.5. You will delve into various complex features of supervised learning, unsupervised learning, and reinforcement learning algorithms to design efficient and powerful ML models. This newly updated edition is packed with fresh examples covering a range of tasks from different domains. Mastering Machine Learning with R starts by showing you how to quickly manipulate data and prepare it for analysis. You will explore simple and complex models and understand how to compare them. You'll also learn to use the latest library support, such as TensorFlow and Keras-R, for performing advanced computations. Additionally, you'll explore complex topics, such as natural language processing (NLP), time series analysis, and clustering, which will further refine your skills in developing applications. Each chapter will help you implement advanced ML algorithms using real-world examples. You'll even be introduced to reinforcement learning, along with its various use cases and models. In the concluding chapters, you'll get a glimpse into how some of these blackbox models can be diagnosed and understood. By the end of this book, you'll be equipped with the skills to deploy ML techniques in your own projects or at work. What you will learn Prepare data for machine learning methods with ease Understand how to write production-ready code and package it for use Produce simple and effective data visualizations for improved insights Master advanced methods, such as Boosted Trees and deep neural networks Use natural language processing to extract insights in relation to text Implement tree-based classifiers, including Random Forest and Boosted Tree Who this book is for This book is for data science professionals, machine learning engineers, or anyone who is looking for the ideal guide to help them implement...
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 48
    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)
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  • 49
    ISBN: 9781789611380 , 1789611385
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: MongoDB ; Open source software ; Object-oriented databases ; Database management ; Software ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of MongoDB 4.x to build and administer fault-tolerant database applications Key Features Master the new features and capabilities of MongoDB 4.x Implement advanced data modeling, querying, and administration techniques in MongoDB Includes rich case-studies and best practices followed by expert MongoDB developers Book Description MongoDB is the best platform for working with non-relational data and is considered to be the smartest tool for organizing data in line with business needs. The recently released MongoDB 4.x supports ACID transactions and makes the technology an asset for enterprises across the IT and fintech sectors. This book provides expertise in advanced and niche areas of managing databases (such as modeling and querying databases) along with various administration techniques in MongoDB, thereby helping you become a successful MongoDB expert. The book helps you understand how the newly added capabilities function with the help of some interesting examples and large datasets. You will dive deeper into niche areas such as high-performance configurations, optimizing SQL statements, configuring large-scale sharded clusters, and many more. You will also master best practices in overcoming database failover, and master recovery and backup procedures for database security. By the end of the book, you will have gained a practical understanding of administering database applications both on premises and on the cloud; you will also be able to scale database applications across all servers. What you will learn Perform advanced querying techniques such as indexing and expressions Configure, monitor, and maintain a highly scalable MongoDB environment Master replication and data sharding to optimize read/write performance Administer MongoDB-based applications on premises or on the cloud Integrate MongoDB with big data sources to process huge amounts of data Deploy MongoDB on Kubernetes containers Use MongoDB in IoT, mobile, and serverless environments Who this book is for This book is ideal for MongoDB developers and database administrators who wish to become successful MongoDB experts and build scalable and fault-tolerant applications using MongoDB. It will also be useful for database professionals who wish to become certified MongoDB professionals. Some understanding of MongoDB and basic database concepts is required to get the most out of this book.
    Note: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 50
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789610604 , 1789610605
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Microsoft .NET Framework ; Microsoft Windows (Computer file) ; Application software ; Development ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency. Key Features Run .NET Framework and .NET Core apps in Docker containers for efficiency, security and portability Design distributed containerized apps, using enterprise-grade open source software from Docker Hub Build a CI/CD pipeline with Docker, going from source to a production Docker Swarm in the cloud Book Description Docker on Windows, Second Edition teaches you all you need to know about Docker on Windows, from the 101 to running highly-available workloads in production. You'll be guided through a Docker journey, starting with the key concepts and simple examples of .NET Framework and .NET Core apps in Docker containers on Windows. Then you'll learn how to use Docker to modernize the architecture and development of traditional ASP.NET and SQL Server apps. The examples show you how to break up legacy monolithic applications into distributed apps and deploy them to a clustered environment in the cloud, using the exact same artifacts you use to run them locally. You'll see how to build a CI/CD pipeline which uses Docker to compile, package, test and deploy your applications. To help you move confidently to production, you'll learn about Docker security, and the management and support options. The book finishes with guidance on getting started with Docker in your own projects. You'll walk through some real-world case studies for Docker implementations, from small-scale on-premises apps to very large-scale apps running on Azure. What you will learn Understand key Docker concepts: images, containers, registries and swarms Run Docker on Windows 10, Windows Server 2019, and in the cloud Deploy and monitor distributed solutions across multiple Docker containers Run containers with high availability and failover with Docker Swarm Master security in-depth with the Docker platform, making your apps more secure Build a Continuous Deployment pipeline, running Jenkins and Git in Docker Debug applications running in Docker containers using Visual Studio Plan the adoption of Docker in your organization Who this book is for If you want to modernize an old monolithic application without rewriting it, smooth the deployment to production, or move to DevOps or the cloud, then Docker is the enabler for you. This book gives you a solid grounding in Docker so you can confidently approach all of these scenarios.
    Note: Previous edition published: 2017. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 51
    ISBN: 9781789612943 , 1789612942
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Go (Computer program language) ; Data mining ; Internet searching ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Learn how some Go-specific language features help to simplify building web scrapers along with common pitfalls and best practices regarding web scraping. Key Features Use Go libraries like Goquery and Colly to scrape the web Common pitfalls and best practices to effectively scrape and crawl Learn how to scrape using the Go concurrency model Book Description Web scraping is the process of extracting information from the web using various tools that perform scraping and crawling. Go is emerging as the language of choice for scraping using a variety of libraries. This book will quickly explain to you, how to scrape data data from various websites using Go libraries such as Colly and Goquery. The book starts with an introduction to the use cases of building a web scraper and the main features of the Go programming language, along with setting up a Go environment. It then moves on to HTTP requests and responses and talks about how Go handles them. You will also learn about a number of basic web scraping etiquettes. You will be taught how to navigate through a website, using a breadth-first and then a depth-first search, as well as find and follow links. You will get to know about the ways to track history in order to avoid loops and to protect your web scraper using proxies. Finally the book will cover the Go concurrency model, and how to run scrapers in parallel, along with large-scale distributed web scraping. What you will learn Implement Cache-Control to avoid unnecessary network calls Coordinate concurrent scrapers Design a custom, larger-scale scraping system Scrape basic HTML pages with Colly and JavaScript pages with chromedp Discover how to search using the "strings" and "regexp" packages Set up a Go development environment Retrieve information from an HTML document Protect your web scraper from being blocked by using proxies Control web browsers to scrape JavaScript sites Who this book is for Data scientists, and web developers with a basic knowledge of Golang wanting to collect web data and analyze them for effective reporting and visualization.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 52
    ISBN: 9781789616279 , 1789616271
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Python (Computer program language) ; Watson (Computer) ; Computer algorithms ; Electronic books ; Electronic books ; local
    Abstract: Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services Key Features Implement data science and machine learning techniques to draw insights from real-world data Understand what IBM Cloud platform can help you to implement cognitive insights within applications Understand the role of data representation and feature extraction in any machine learning system Book Description IBM Cloud is a collection of cloud computing services for data analytics using machine learning and artificial intelligence (AI). This book is a complete guide to help you become well versed with machine learning on the IBM Cloud using Python. Hands-On Machine Learning with IBM Watson starts with supervised and unsupervised machine learning concepts, in addition to providing you with an overview of IBM Cloud and Watson Machine Learning. You'll gain insights into running various techniques, such as K-means clustering, K-nearest neighbor (KNN), and time series prediction in IBM Cloud with real-world examples. The book will then help you delve into creating a Spark pipeline in Watson Studio. You will also be guided through deep learning and neural network principles on the IBM Cloud using TensorFlow. With the help of NLP techniques, you can then brush up on building a chatbot. In later chapters, you will cover three powerful case studies, including the facial expression classification platform, the automated classification of lithofacies, and the multi-biometric identity authentication platform, helping you to become well versed with these methodologies. By the end of this book, you will be ready to build efficient machine learning solutions on the IBM Cloud and draw insights from the data at hand using real-world examples. What you will learn Understand key characteristics of IBM machine learning services Run supervised and unsupervised techniques in the cloud Understand how to create a Spark pipeline in Watson Studio Implement deep learning and neural networks on the IBM Cloud with TensorFlow Create a complete, cloud-based facial expression classification solution Use biometric traits to build a cloud-based human identification system Who this book is for This beginner-level book is for data scientists and machine learning engineers who want to get started with IBM Cloud and its machine learning services using practical examples. Basic knowledge of Python and some understanding of machine learning will be useful.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
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  • 53
    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)
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  • 54
    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)
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  • 55
    ISBN: 9781789533309 , 1789533309
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Qt (Electronic resource) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Build efficient and fast Qt applications, target performance problems, and discover solutions to refine your code Key Features Build efficient and concurrent applications in Qt to create cross-platform applications Identify performance bottlenecks and apply the correct algorithm to improve application performance Delve into parallel programming and memory management to optimize your code Book Description Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance. The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you'll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains. By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature What you will learn Understand classic performance best practices Get to grips with modern hardware architecture and its performance impact Implement tools and procedures used in performance optimization Grasp Qt-specific work techniques for graphical user interface (GUI) and platform programming Make Transmission Control Protocol (TCP) and Hypertext Transfer Protocol (HTTP) performant and use the relevant Qt classes Discover the improvements Qt 5.9 (and the upcoming versions) holds in store Explore Qt's graphic engine architecture, strengths, and weaknesses Who this book is for This book is designed for Qt developers who wish to build highly performance applications for desktop and embedded devices. Programming Experience with C++ is required.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 56
    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)
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  • 57
    ISBN: 9781789341966 , 1789341965
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Clojure (Computer program language) ; Functional programming languages ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Learn how to use RxClojure to deal with stateful computations Key Features Leverage the features of Functional Reactive Programming using Clojure Create dataflow-based systems that are the building blocks of Reactive Programming Use different Functional Reactive Programming frameworks, techniques, and patterns to solve real-world problems Book Description Reactive Programming is central to many concurrent systems, and can help make the process of developing highly concurrent, event-driven, and asynchronous applications simpler and less error-prone. This book will allow you to explore Reactive Programming in Clojure 1.9 and help you get to grips with some of its new features such as transducers, reader conditionals, additional string functions, direct linking, and socket servers. Hands-On Reactive Programming with Clojure starts by introducing you to Functional Reactive Programming (FRP) and its formulations, as well as showing you how it inspired Compositional Event Systems (CES). It then guides you in understanding Reactive Programming as well as learning how to develop your ability to work with time-varying values thanks to examples of reactive applications implemented in different frameworks. You'll also gain insight into some interesting Reactive design patterns such as the simple component, circuit breaker, request-response, and multiple-master replication. Finally, the book introduces microservices-based architecture in Clojure and closes with examples of unit testing frameworks. By the end of the book, you will have gained all the knowledge you need to create applications using different Reactive Programming approaches. What you will learn Understand how to think in terms of time-varying values and event streams Create, compose, and transform observable sequences using Reactive extensions Build a CES framework from scratch using core.async as its foundation Develop a simple ClojureScript game using Reagi Integrate Om and RxJS in a web application Implement a reactive API in Amazon Web Services (AWS) Discover helpful approaches to backpressure and error handling Get to grips with futures and their applications Who this book is for If you're interested in using Reactive Programming to build asynchronous and concurrent applications, this is the book for you. Basic knowledge of Clojure programming is necessary to understand the concepts covered in this book.
    Note: Previous edition published: 2015. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 15, 2019)
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  • 58
    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)
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  • 59
    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)
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  • 60
    ISBN: 9781789132502 , 1789132509
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key Features Apply popular machine learning algorithms using a recipe-based approach Implement boosting, bagging, and stacking ensemble methods to improve machine learning models Discover real-world ensemble applications and encounter complex challenges in Kaggle competitions Book Description Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine learning algorithms to deliver superior intellectual powers. This book will help you to implement popular machine learning algorithms to cover different paradigms of ensemble machine learning such as boosting, bagging, and stacking. The Ensemble Machine Learning Cookbook will start by getting you acquainted with the basics of ensemble techniques and exploratory data analysis. You'll then learn to implement tasks related to statistical and machine learning algorithms to understand the ensemble of multiple heterogeneous algorithms. It will also ensure that you don't miss out on key topics, such as like resampling methods. As you progress, you'll get a better understanding of bagging, boosting, stacking, and working with the Random Forest algorithm using real-world examples. The book will highlight how these ensemble methods use multiple models to improve machine learning results, as compared to a single model. In the concluding chapters, you'll delve into advanced ensemble models using neural networks, natural language processing, and more. You'll also be able to implement models such as fraud detection, text categorization, and sentiment analysis. By the end of this book, you'll be able to harness ensemble techniques and the working mechanisms of machine learning algorithms to build intelligent models using individual recipes. What you will learn Understand how to use machine learning algorithms for regression and classification problems Implement ensemble techniques such as averaging, weighted averaging, and max-voting Get to grips with advanced ensemble methods, such as bootstrapping, bagging, and stacking Use Random Forest for tasks such as classification and regression Implement an ensemble of homogeneous and heterogeneous machine learning algorithms Learn and implement various boosting techniques, such as AdaBoost, Gradient Boosting Machine, and XGBoost Who this book is for This book is designed fo...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 61
    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)
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  • 62
    ISBN: 9781789138658 , 1789138655
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Go (Computer program language) ; Web applications ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Create a real-world application in Go and explore various frameworks and methodologies for full-stack development Key Features Organize your isomorphic codebase to enhance the maintainability of your application Build web APIs and middleware in the Go language by making use of the popular Gin framework Implement real-time web application functionality with WebSockets Book Description The Go programming language has been rapidly adopted by developers for building web applications. With its impressive performance and ease of development, Go enjoys the support of a wide variety of open source frameworks, for building scalable and high-performant web services and apps. Hands-On Full Stack Development with Go is a comprehensive guide that covers all aspects of full stack development with Go. This clearly written, example-rich book begins with a practical exposure to Go development and moves on to build a frontend with the popular React framework. From there, you will build RESTful web APIs utilizing the Gin framework. After that, we will dive deeper into important software backend concepts, such as connecting to the database via an ORM, designing routes for your services, securing your services, and even charging credit cards via the popular Stripe API. We will also cover how to test, and benchmark your applications efficiently in a production environment. In the concluding chapters, we will cover isomorphic developments in pure Go by learning about GopherJS. As you progress through the book, you'll gradually build a musical instrument online store application from scratch. By the end of the book, you will be confident in taking on full stack web applications in Go. What you will learn Understand Go programming by building a real-world application Learn the React framework to develop a frontend for your application Understand isomorphic web development utilizing the GopherJS framework Explore methods to write RESTful web APIs in Go using the Gin framework Learn practical topics such as ORM layers, secure communications, and Stripe's API Learn methods to benchmark and test web APIs in Go Who this book is for Hands-On Full Stack Development with Go will appeal to developers who are looking to start building amazing full stack web applications in Go. Basic knowhow of Go language and JavaScript is expected. The book targets web developers who are looking to move to the Go language.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 29, 2019)
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  • 63
    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)
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  • 64
    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)
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  • 65
    ISBN: 9781788996464 , 1788996461
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft Windows (Computer file) ; Examination ; Study guides ; Electronic data processing personnel ; Certification ; Electronic books ; Electronic books ; local
    Abstract: Get ready for the Windows 10: 70-698 exam and configure Windows to manage data recovery Key Features Implement Windows 10 operational and administrative tasks Configure devices, remote management settings, advanced management tools, and device drivers Comprehensive guide to help you work efficiently in Windows 10 Book Description The Installing and Configuring Windows 10: 70-698 Exam Guide is designed to confirm what you already know, while also updating your knowledge of Windows 10. With its easy-to-follow guidance, you will quickly learn the user interface and discover steps to work efficiently in Windows 10 to rule out delays and obstacles. This book begins by covering various ways of installing Windows 10, followed by instructions on post-installation tasks. You will learn about the deployment of Windows 10 in Enterprise and also see how to configure networking in Windows 10. You'll understand how to leverage Disk Management and Windows PowerShell to configure disks, volumes, and file system options. As you progress through the chapters, you will be able to set up remote management in Windows 10 and learn more about Windows update usage, behavior, and settings. You will also gain insights that will help you monitor and manage data recovery and explore how to configure authentication, authorization, and advanced management tools in Windows 10. By the end of this book, you will be equipped with enough knowledge to take the 70-698 exam and explore different study methods to improve your chances of passing the exam with ease. What you will learn Discover various ways of installing Windows 10 Understand how to configure devices and device drivers Configure and support IPv4 and IPv6 network settings Troubleshoot storage and removable device issues Get to grips with data access and usage Explore the advanced management tools available in Windows 10 Who this book is for This book is for IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services and are preparing to clear the Windows 10: 70-698 exam
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 20, 2019)
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  • 66
    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)
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  • 67
    ISBN: 9781788627597 , 1788627598
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Expert insight
    Keywords: Application software ; Development ; Web services ; Electronic data processing ; Distributed processing ; Electronic books ; Electronic books ; local
    Abstract: Understand how to apply distributed tracing to microservices-based architectures Key Features A thorough conceptual introduction to distributed tracing An exploration of the most important open standards in the space A how-to guide for code instrumentation and operating a tracing infrastructure Book Description Mastering Distributed Tracing will equip you to operate and enhance your own tracing infrastructure. Through practical exercises and code examples, you will learn how end-to-end tracing can be used as a powerful application performance management and comprehension tool. The rise of Internet-scale companies, like Google and Amazon, ushered in a new era of distributed systems operating on thousands of nodes across multiple data centers. Microservices increased that complexity, often exponentially. It is harder to debug these systems, track down failures, detect bottlenecks, or even simply understand what is going on. Distributed tracing focuses on solving these problems for complex distributed systems. Today, tracing standards have developed and we have much faster systems, making instrumentation less intrusive and data more valuable. Yuri Shkuro, the creator of Jaeger, a popular open-source distributed tracing system, delivers end-to-end coverage of the field in Mastering Distributed Tracing. Review the history and theoretical foundations of tracing; solve the data gathering problem through code instrumentation, with open standards like OpenTracing, W3C Trace Context, and OpenCensus; and discuss the benefits and applications of a distributed tracing infrastructure for understanding, and profiling, complex systems. What you will learn How to get started with using a distributed tracing system How to get the most value out of end-to-end tracing Learn about open standards in the space Learn about code instrumentation and operating a tracing infrastructure Learn where distributed tracing fits into microservices as a core function Who this book is for Any developer interested in testing large systems will find this book very revealing and in places, surprising. Every microservice architect and developer should have an insight into distributed tracing, and the book will help them on their way. System administrators with some development skills will also benefit. No particular programming language skills are required, although an ability to read Java, while non-essential, will help with the core chapters.
    Note: Includes bibliographical references and index. - Description based on online resource; title from cover (Safari, viewed April 18, 2019)
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  • 68
    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)
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  • 69
    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)
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  • 70
    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)
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  • 71
    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)
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  • 72
    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)
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  • 73
    ISBN: 9781789348828 , 178934882X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Marketing ; Data processing ; Machine learning ; Marketing research ; Python (Computer program language) ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Optimize your marketing strategies through analytics and machine learning Key Features Understand how data science drives successful marketing campaigns Use machine learning for better customer engagement, retention, and product recommendations Extract insights from your data to optimize marketing strategies and increase profitability Book Description Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business. What you will learn Learn how to compute and visualize marketing KPIs in Python and R Master what drives successful marketing campaigns with data science Use machine learning to predict customer engagement and lifetime value Make product recommendations that customers are most likely to buy Learn how to use A/B testing for better marketing decision making Implement machine learning to understand different customer segments Who this book is for If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-adv...
    Note: Description based on online resource; title from title page (Safari, viewed May 1, 2019)
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  • 74
    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)
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  • 75
    ISBN: 9781789133318 , 1789133319
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Neural networks (Computer science) ; Machine learning ; Artificial intelligence ; Electronic books ; local ; Electronic books
    Abstract: Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python Key Features Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI Build expert neural networks in Python using popular libraries such as Keras Includes projects such as object detection, face identification, sentiment analysis, and more Book Description Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio. What you will learn Learn various neural network architectures and its advancements in AI Master deep learning in Python by building and training neural network Master neural networks for regression and classification Discover convolutional neural networks for image recognition Learn sentiment analysis on textual data using Long Short-Term Memory Build and train a highly accurate facial recognition security system Who this book is for This book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. Readers should already have some basic knowledge of machine learning and neural networks.
    Note: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 76
    ISBN: 9781789135763 , 1789135761
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Application program interfaces (Computer software) ; Application software ; Development ; Web applications ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Unearth the power of GraphQL, React, Apollo, Node, and Express to build a scalable, production ready application Key Features Build full stack applications with modern APIs using GraphQL and Apollo Integrate Apollo into React and build frontend components using GraphQL Implement a self-updating notification pop-up with a unique GraphQL feature called Subscriptions Book Description React, one of the most widely used JavaScript frameworks, allows developers to build fast and scalable front end applications for any use case. GraphQL is the modern way of querying an API. It represents an alternative to REST and is the next evolution in web development. Combining these two revolutionary technologies will give you a future-proof and scalable stack you can start building your business around. This book will guide you in implementing applications by using React, Apollo, Node.js and SQL. We'll focus on solving complex problems with GraphQL, such as abstracting multi-table database architectures and handling image uploads. Our client, and server will be powered by Apollo. Finally we will go ahead and build a complete Graphbook. While building the app, we'll cover the tricky parts of connecting React to the back end, and maintaining and synchronizing state. We'll learn all about querying data and authenticating users. We'll write test cases to verify the front end and back end functionality for our application and cover deployment. By the end of the book, you will be proficient in using GraphQL and React for your full-stack development requirements. What you will learn Resolve data from multi-table database and system architectures Build a GraphQL API by implementing models and schemas with Apollo and Sequelize Set up an Apollo Client and build front end components using React Use Mocha to test your full-stack application Write complex React components and share data across them Deploy your application using Docker Who this book is for The book is for web developers who want to enhance their skills and build complete full stack applications using industry standards. Familiarity with JavaScript, React, and GraphQL is expected to get the most from this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 77
    ISBN: 9781788831734 , 178883173X
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Computer networks ; Security measures ; Management ; Cyber intelligence (Computer security) ; Financial institutions ; Effect of technological innovations on ; Internet ; Security measures ; Electronic books ; Electronic books ; local
    Abstract: A comprehensive guide that will give you hands-on experience to study and overcome financial cyber threats Key Features Protect your financial environment with cybersecurity practices and methodologies Identify vulnerabilities such as data manipulation and fraudulent transactions Provide end-to-end protection within organizations Book Description Organizations have always been a target of cybercrime. Hands-On Cybersecurity for Finance teaches you how to successfully defend your system against common cyber threats, making sure your financial services are a step ahead in terms of security. The book begins by providing an overall description of cybersecurity, guiding you through some of the most important services and technologies currently at risk from cyber threats. Once you have familiarized yourself with the topic, you will explore specific technologies and threats based on case studies and real-life scenarios. As you progress through the chapters, you will discover vulnerabilities and bugs (including the human risk factor), gaining an expert-level view of the most recent threats. You'll then explore information on how you can achieve data and infrastructure protection. In the concluding chapters, you will cover recent and significant updates to procedures and configurations, accompanied by important details related to cybersecurity research and development in IT-based financial services. By the end of the book, you will have gained a basic understanding of the future of information security and will be able to protect financial services and their related infrastructures. What you will learn Understand the cyber threats faced by organizations Discover how to identify attackers Perform vulnerability assessment, software testing, and pentesting Defend your financial cyberspace using mitigation techniques and remediation plans Implement encryption and decryption Understand how Artificial Intelligence (AI) affects cybersecurity Who this book is for Hands-On Cybersecurity for Finance is for you if you are a security architect, cyber risk manager, or pentester looking to secure your organization. Basic understanding of cybersecurity tools and practices will help you get the most out of this book.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 17, 2019)
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  • 78
    ISBN: 9781788832014 , 1788832019
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Cloud computing ; Web services ; Customer relations ; Management ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Gain a complete overview of Oracle CX Cloud Suite and its tools for functions ranging from marketing to sales and commerce to service Key Features Make optimal use of your Oracle CX Cloud Suite to improve business results Achieve improved customer insights through Oracle CX's advanced capabilities Learn how to design a CX solution architecture Book Description Oracle CX Cloud offers features and capabilities that help companies excel at sales, customer management, and much more. This book is a detailed guide to implementing cloud solutions and helping administrators of all levels thoroughly understand the platform. Oracle CX Cloud Suite begins with an introduction to high-level Oracle architecture and examines what CX offers over CRM. You'll explore the different cloud-based tools for marketing, sales, and customer services, among others. The book then delves into deployment by covering basic settings, setting up users, and provisioning. You'll see how to integrate the CX suite to work together to interact with the environment and connect with legacy systems, social connectors, and internet services. The book concludes with a use case demonstrating how the entire Oracle CX Suite is set up, and also covers how to leverage Oracle ICS and Oracle CX Cloud for hybrid deployment. By end of the book, you will have learned about the working of the Oracle CX Cloud Suite and how to orchestrate user experience across all products seamlessly. What you will learn Differentiate between Oracle CRM and CX Cloud suites Explore a variety of Oracle CX Cloud tools for marketing and sales Set up users and database connections during deployment Employ Cloud Suite CX tools to aid in planning and analysis Implement hybrid Oracle CX solutions and connect with legacy systems Integrate with social media connectors like Facebook and LinkedIn Leverage Oracle ICS and Oracle CX Suite to improve business results Who this book is for This book is for administrators who want to develop and strengthen their Oracle CX Cloud Suite skills in the areas of configuration and system management. Whether you are a new administrator or an experienced professional, this book will enhance your understanding of the new Oracle CX features.
    Note: Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 79
    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)
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  • 80
    ISBN: 9781789952100 , 1789952107
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Marketing ; Data processing ; Marketing research ; Python (Computer program language) ; Information visualization ; Electronic books ; Electronic books ; local
    Abstract: Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key Features Study new techniques for marketing analytics Explore uses of machine learning to power your marketing analyses Work through each stage of data analytics with the help of multiple examples and exercises Book Description Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. The book starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. By the end of this book, you will be able to build your own marketing reporting and interactive dashboard solutions. What you will learn Analyze and visualize data in Python using pandas and Matplotlib Study clustering techniques, such as hierarchical and k-means clustering Create customer segments based on manipulated data Predict customer lifetime value using linear regression Use classification algorithms to understand customer choice Optimize classification algorithms to extract maximal information Who this book is for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.
    Note: Includes bibliographical references. - Description based on online resource; title from copyright page (Safari, viewed May 15, 2019)
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  • 81
    ISBN: 9781789806441 , 1789806445
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Third edition.
    Keywords: Microsoft Windows server ; Windows PowerShell (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Automate Windows server tasks with the powerful features of the PowerShell Language Key Features Leverage PowerShell to automate complex Windows server tasks Master new features such as DevOps, and containers, and speed up their performance using PowerShell Improve PowerShell's usability, and control and manage Windows-based environments by working through exciting recipes Book Description Windows Server 2019 represents the latest version of Microsoft's flagship server operating system. It also comes with PowerShell Version 5.1 and has a number of additional features that IT pros find useful. The book helps the reader learn how to use PowerShell and manage core roles, features, and services of Windows Server 2019. You will begin with creating a PowerShell Administrative Environment that has updated versions of PowerShell and the Windows Management Framework, updated versions of the .NET Framework, and third-party modules. Next, you will learn to use PowerShell to set up and configure Windows Server 2019 networking and also managing objects in the AD environment. You will also learn to set up a host to utilize containers and how to deploy containers. You will also be implementing different mechanisms for achieving desired state configuration along with getting well versed with Azure infrastructure and how to setup Virtual Machines, web sites, and shared files on Azure. Finally, you will be using some powerful tools you can use to diagnose and resolve issues with Windows Server 2019. By the end of the book, you will learn a lot of trips and tricks to automate your windows environment with PowerShell What you will learn Perform key admin tasks on Windows Server 2019 Employing best practices for writing PowerShell scripts and configuring Windows Server 2019 Use the .NET Framework to achieve administrative scripting Set up VMs, websites, and shared files on Azure Report system performance using built-in cmdlets and WMI to obtain single measurements Know the tools you can use to diagnose and resolve issues with Windows Server Who this book is for If you are a systems administrator, engineer, or an architect working with Windows Server 2016 interested in upgrading to Windows Server 2019 and automating tasks with PowerShell, then this book is for you. A basic knowledge of PowerShell is expected.
    Note: Previous edition published: 2017. - Includes index. - Description based on online resource; title from cover (Safari, viewed April 22, 2019)
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  • 82
    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)
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  • 83
    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)
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  • 84
    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)
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  • 85
    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)
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  • 86
    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)
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  • 87
    ISBN: 9781789533446 , 1789533449
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: TensorFlow ; Reinforcement learning ; Neural networks (Computer science) ; Python (Computer program language) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasks Key Features Explore efficient Reinforcement Learning algorithms and code them using TensorFlow and Python Train Reinforcement Learning agents for problems, ranging from computer games to autonomous driving. Formulate and devise selective algorithms and techniques in your applications in no time. Book Description Advances in reinforcement learning algorithms have made it possible to use them for optimal control in several different industrial applications. With this book, you will apply Reinforcement Learning to a range of problems, from computer games to autonomous driving. The book starts by introducing you to essential Reinforcement Learning concepts such as agents, environments, rewards, and advantage functions. You will also master the distinctions between on-policy and off-policy algorithms, as well as model-free and model-based algorithms. You will also learn about several Reinforcement Learning algorithms, such as SARSA, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG), Asynchronous Advantage Actor-Critic (A3C), Trust Region Policy Optimization (TRPO), and Proximal Policy Optimization (PPO). The book will also show you how to code these algorithms in TensorFlow and Python and apply them to solve computer games from OpenAI Gym. Finally, you will also learn how to train a car to drive autonomously in the Torcs racing car simulator. By the end of the book, you will be able to design, build, train, and evaluate feed-forward neural networks and convolutional neural networks. You will also have mastered coding state-of-the-art algorithms and also training agents for various control problems. What you will learn Understand the theory and concepts behind modern Reinforcement Learning algorithms Code state-of-the-art Reinforcement Learning algorithms with discrete or continuous actions Develop Reinforcement Learning algorithms and apply them to training agents to play computer games Explore DQN, DDQN, and Dueling architectures to play Atari's Breakout using TensorFlow Use A3C to play CartPole and LunarLander Train an agent to drive a car autonomously in a simulator Who this book is for Data scientists and AI developers who wish to quickly get started with training effective reinforcement learning models in TensorFlow will find this book very useful. Prior knowledge of machine learning and deep learning concepts (...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 88
    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)
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  • 89
    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)
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  • 90
    ISBN: 9781789341980 , 1789341981
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als Kolodin, Denis Hands-on microservices with Rust
    Keywords: Rust (Computer program language) ; Application software ; Development ; Web applications ; Electronic books ; Electronic books ; local
    Abstract: A comprehensive guide in developing and deploying high performance microservices with Rust Key Features Start your microservices journey and get a broader perspective on microservices development using RUST 2018, Build, deploy, and test microservices using AWS Explore advanced techniques for developing microservices such as actor model, Requests Routing, and threads Book Description Microservice architecture is sweeping the world as the de facto pattern for building web-based applications. Rust is a language particularly well-suited for building microservices. It is a new system programming language that offers a practical and safe alternative to C. This book describes web development using the Rust programming language and will get you up and running with modern web frameworks and crates with examples of RESTful microservices creation. You will deep dive into Reactive programming, and asynchronous programming, and split your web application into a set of concurrent actors. The book provides several HTTP-handling examples with manageable memory allocations. You will walk through stateless high-performance microservices, which are ideally suitable for computation or caching tasks, and look at stateful microservices, which are filled with persistent data and database interactions. As we move along, you will learn how to use Rust macros to describe business or protocol entities of our application and compile them into native structs, which will be performed at full speed with the help of the server's CPU. Finally, you will be taken through examples of how to test and debug microservices and pack them into a tiny monolithic binary or put them into a container and deploy them to modern cloud platforms such as AWS. What you will learn Get acquainted with leveraging Rust web programming Get to grips with various Rust crates, such as hyper, Tokio, and Actix Explore RESTful microservices with Rust Understand how to pack Rust code to a container using Docker Familiarize yourself with Reactive microservices Deploy your microservices to modern cloud platforms such as AWS Who this book is for This book is for developers who have basic knowledge of RUST, and want to learn how to build, test, scale, and manage RUST microservices. No prior experience of writing microservices in RUST is assumed. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link:https://github.com/PacktPublishing/...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed June 11, 2019)
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  • 91
    Online Resource
    Online Resource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789340044 , 1789340047
    Language: English
    Pages: 1 online resource (1 volume) , illustrations, maps
    Keywords: Geographic information systems ; Computer programs ; Geodatabases ; Computer programs ; Cartography ; Computer programs ; Geospatial data ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: Step through loading GIS data, creating GIS data, styling GIS and making maps with QGIS following a simple narrative that will allow you to build confidence as you progress. Key Features Work with GIS data, a step by step guide from creation to making a map Perform geoprocessing tasks and automate them using model builder Explore a range of features in QGIS 3.4, discover the power behind open source desktop GIS Book Description QGIS is a user friendly, open source geographic information system (GIS). The popularity of open source GIS and QGIS, in particular, has been growing rapidly over the last few years. This book is designed to help beginners learn about all the tools required to use QGIS 3.4. This book will provide you with clear, step-by-step instructions to help you apply your GIS knowledge to QGIS. You begin with an overview of QGIS 3.4 and its installation. You will learn how to load existing spatial data and create vector data from scratch. You will then be creating styles and labels for maps. The final two chapters demonstrate the Processing toolbox and include a brief investigation on how to extend QGIS. Throughout this book, we will be using the GeoPackage format, and we will also discuss how QGIS can support many different types of data. Finally, you will learn where to get help and how to become engaged with the GIS community. What you will learn Use existing data to interact with the canvas via zoom/pan/selection Create vector data and a GeoPackage and build a simple project around it Style data, both vector and raster data, using the Layer Styling Panel Design, label, save, and export maps using the data you have created Analyze spatial queries using the Processing toolbox Expand QGIS with the help of plugins, model builder, and the command line Who this book is for If you know the basic functions and processes of GIS, and want to learn to use QGIS to analyze geospatial data and create rich mapping applications, then this is the book for you.
    Note: Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 92
    ISBN: 9781789134193 , 1789134196
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Explore various Generative Adversarial Network architectures using the Python ecosystem Key Features Use different datasets to build advanced projects in the Generative Adversarial Network domain Implement projects ranging from generating 3D shapes to a face aging application Explore the power of GANs to contribute in open source research and projects Book Description Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain. Generative Adversarial Network Projects begins by covering the concepts, tools, and libraries that you will use to build efficient projects. You will also use a variety of datasets for the different projects covered in the book. The level of complexity of the operations required increases with every chapter, helping you get to grips with using GANs. You will cover popular approaches such as 3D-GAN, DCGAN, StackGAN, and CycleGAN, and you'll gain an understanding of the architecture and functioning of generative models through their practical implementation. By the end of this book, you will be ready to build, train, and optimize your own end-to-end GAN models at work or in your own projects. What you will learn Train a network on the 3D ShapeNet dataset to generate realistic shapes Generate anime characters using the Keras implementation of DCGAN Implement an SRGAN network to generate high-resolution images Train Age-cGAN on Wiki-Cropped images to improve face verification Use Conditional GANs for image-to-image translation Understand the generator and discriminator implementations of StackGAN in Keras Who this book is for If you're a data scientist, machine learning developer, deep learning practitioner, or AI enthusiast looking for a project guide to test your knowledge and expertise in building real-world GANs models, this book is for you.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 93
    ISBN: 9781789133264 , 1789133262
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Internet of things ; Blockchains (Databases) ; Cloud computing ; Embedded Internet devices ; Electronic books ; Electronic books ; local
    Abstract: Integrate an end-to-end logistic chain using IBM Blockchain and IoT platforms Key Features Explore practical implementation of ledger technology in the IoT architecture Study security best practices for your smart devices Understand Blockchain implementation for end-to-end IoT solutions Book Description Blockchain has been the hot topic of late thanks to cryptocurrencies. To make matters more interesting, the financial market is looking for ways to reduce operational costs and generate new business models, and this is where blockchain solutions come into the picture. In addition to this, with Internet of Things (IoT) trending and Arduino, Raspberry Pi, and other devices flooding the market, you can now create cheap devices even at home. Hands-On IoT Solutions with Blockchain starts with an overview of IoT concepts in the current business scenario. It then helps you develop your own device on the IBM Watson IoT platform and create your fi rst IoT solution using Watson and Intel Edison.Once you are familiar with IoT, you will learn about Blockchain technology and its use cases. You will also work with the Hyperledger framework and develop your own Blockchain network. As you progress through the chapters, you'll work with problem statements and learn how to design your solution architecture so that you can create your own integrated Blockchain and IoT solution. The next set of chapters will explain how to implement end-to-end Blockchain solutions with IoT using the IBM Cloud platform. By the end of this book, you will have mastered the convergence of IoT and Blockchain technology and exploited the best practices and drivers to develop a bulletproof integrated solution. What you will learn Understand the key roles of IoT in the current market Study the different aspects of IBM Watson IoT platform Create devices, gateways, and applications connected to the platform Explore the fundamentals of Blockchain Define good use cases for Blockchain Discover the Hyperledger Fabric and Composer frameworks Develop an IBM Watson IoT application using a Intel Edison Integrate IoT with the Blockchain platform Who this book is for Hands-On IoT Solutions with Blockchain is for you if you are an Internet of Things (IoT) analyst, architect, engineer, or any stakeholder responsible for security mechanisms on an IoT infrastructure. This book is also for IT professionals who want to start developing solutions using Blockchain and IoT on the IBM Cloud platform. Basic und...
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 4, 2019)
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  • 94
    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)
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  • 95
    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)
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  • 96
    ISBN: 9781838550318 , 1838550313
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: Learning path
    Keywords: C# (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Conquer complex and interesting programming challenges by building robust and concurrent applications with caches, cryptography, and parallel programming. Key Features Understand how to use .NET frameworks like the Task Parallel Library (TPL)and CryptoAPI Develop a containerized application based on microservices architecture Gain insights into memory management techniques in .NET Core Book Description This Learning Path shows you how to create high performing applications and solve programming challenges using a wide range of C# features. You'll begin by learning how to identify the bottlenecks in writing programs, highlight common performance pitfalls, and apply strategies to detect and resolve these issues early. You'll also study the importance of micro-services architecture for building fast applications and implementing resiliency and security in .NET Core. Then, you'll study the importance of defining and testing boundaries, abstracting away third-party code, and working with different types of test double, such as spies, mocks, and fakes. In addition to describing programming trade-offs, this Learning Path will also help you build a useful toolkit of techniques, including value caching, statistical analysis, and geometric algorithms. This Learning Path includes content from the following Packt products: C# 7 and .NET Core 2.0 High Performance by Ovais Mehboob Ahmed Khan Practical Test-Driven Development using C# 7 by John Callaway, Clayton Hunt The Modern C# Challenge by Rod Stephens What you will learn Measure application performance using BenchmarkDotNet Leverage the Task Parallel Library (TPL) and Parallel Language Integrated Query (PLINQ)library to perform asynchronous operations Modify a legacy application to make it testable Use LINQ and PLINQ to search directories for files matching patterns Find areas of polygons using geometric operations Randomize arrays and lists with extension methods Use cryptographic techniques to encrypt and decrypt strings and files Who this book is for If you want to improve the speed of your code and optimize the performance of your applications, or are simply looking for a practical resource on test driven development, this is the ideal Learning Path for you. Some familiarity with C# and .NET will be beneficial.
    Note: Description based on online resource; title from title page (Safari, viewed April 8, 2019)
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  • 97
    ISBN: 9781838553333 , 1838553339
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Series Statement: Learning path
    Keywords: Python (Computer program language) ; Internet of things ; Raspberry Pi (Computer) ; Machine-to-machine communications ; Electronic books ; Electronic books ; local
    Abstract: Build clever, collaborative, and powerful automation systems with the Raspberry Pi and Python. Key Features Create your own Pi-Rover or Pi-Hexipod robots Develop practical applications in Python using Raspberry Pi Build your own Jarvis, a highly advanced computerized AI Book Description This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python. It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment. By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python. Raspberry Pi 3 Cookbook for Python Programmers - Third Edition by Tim Cox, Dr. Steven Lawrence Fernandes Python Programming with Raspberry Pi by Sai Yamanoor, Srihari Yamanoor Python Robotics Projects by Prof. Diwakar Vaish What you will learn Build text classifiers and predict sentiment in words with the Tkinter library Develop human face detection and recognition systems Create a neural network module for optical character recognition Build a mobile robot using the Raspberry Pi as a controller Understand how to interface sensors, actuators, and LED displays work Apply machine learning techniques to your models Interface your robots with Bluetooth Who this book is for This Learning Path is specially designed for Python developers who want to take their skills to the next level by creating robots that can enhance people's lives. Familiarity with Python and electronics will aid understanding the concepts in this Learning Path.
    Note: Description based on online resource; title from title page (Safari, viewed April 5, 2019)
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  • 98
    ISBN: 9781788830232 , 1788830237
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Python (Computer program language) ; Computer networks ; Management ; Client/server computing ; Electronic books ; Electronic books ; local
    Abstract: Power up your network applications with Python programming Key Features Master Python skills to develop powerful network applications Grasp the fundamentals and functionalities of SDN Design multi-threaded, event-driven architectures for echo and chat servers Book Description This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You'll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you'll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming. By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products: Practical Network Automation by Abhishek Ratan Mastering Python Networking by Eric Chou Python Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker What you will learn Create socket-based networks with asynchronous models Develop client apps for web APIs, including S3 Amazon and Twitter Talk to email and remote network servers with different protocols Integrate Python with Cisco, Juniper, and Arista eAPI for automation Use Telnet and SSH connections for remote system monitoring Interact with websites via XML-RPC, SOAP, and REST APIs Build networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX Configure virtual networks in different deployment environments Who this book is for If you are a Python developer or a system administrator who wants to start network programming, this Learning Path gets you a step closer to your goal. IT professionals and DevOps engineers who are new to managing network devices or those with minimal experience looking to expand their knowledge and skills in Python will also find this Learning Path useful. Although prior knowledge of networking is not required, some experience in Python programming will be helpful for a better understanding of the concepts in the Learning Path.
    Note: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
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  • 99
    ISBN: 9781788831796 , 1788831799
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: Learning path
    Keywords: Windows Azure ; Application software ; Development ; Web applications ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Abstract: Explore powerful Azure DevOps solutions to develop and deploy your software faster and more efficiently. Key Features Build modern microservice-based systems with Azure architecture Learn to deploy and manage cloud services and virtual machines Configure clusters with Azure Service Fabric for deployment Book Description This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you've understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: Learn Microsoft Azure by Mohamed Wali Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein Microservices with Azure by Namit Tanasseri and Rahul Rai What you will learn Study various Azure Service Fabric application programming models Create and manage a Kubernetes cluster in Azure Kubernetes Service Use site-to-site VPN and ExpressRoute connections in your environment Design an Azure IoT app and learn to operate it in various scenarios Implement a hybrid Azure design using Azure Stack Build Azure SQL databases with Code First Migrations Integrate client applications with Web API and SignalR on Azure Implement the Azure Active Directory (Azure AD) across the entire system Who this book is for If you are an IT system architect, network admin, or a DevOps engineer who wants to implement Azure solutions for your organization, this Learning Path is for you. Basic knowledge of the Azure Cloud platform will be beneficial.
    Note: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 22, 2019)
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  • 100
    ISBN: 9781788831611 , 1788831616
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Machine learning ; Electronic books ; Electronic books ; local
    Abstract: Your hands-on reference guide to developing, training, and optimizing your machine learning models Key Features Your guide to learning efficient machine learning processes from scratch Explore expert techniques and hacks for a variety of machine learning concepts Write effective code in R, Python, Scala, and Spark to solve all your machine learning problems Book Description Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner. After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered. By the end of this book, you will be able to train fast, accurate machine learning models at your fingertips, which you can easily use as a point of reference. What you will learn Get a quick rundown of model selection, statistical modeling, and cross-validation Choose the best machine learning algorithm to solve your problem Explore kernel learning, neural networks, and time-series analysis Train deep learning models and optimize them for maximum performance Briefly cover Bayesian techniques and sentiment analysis in your NLP solution Implement probabilistic graphical models and causal inferences Measure and optimize the performance of your machine learning models Who this book is for If you're a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point in building machine learning solutions. You will also find this book useful if you're an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You'll need some exposure to machine learning to get the best out of this book.
    Note: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
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