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  • Safari, an O’Reilly Media Company  (499)
  • Safari, an O'Reilly Media Company.  (244)
  • Edward Elgar Publishing
  • [Erscheinungsort nicht ermittelbar] : Wiley  (391)
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (352)
Datasource
Material
Language
Years
Author, Corporation
Publisher
Keywords
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    Complete Linux Training Course to Get Your Dream IT Job (2022)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 hr., 16 min.)
    Edition: 1st edition.
    Keywords: Electronic videos
    Abstract: The best Linux administration course that prepares you for corporate jobs and for RHCSA, RHCE, LFCS, CLNP certifications About This Video Gain advanced Linux systems administration skills Understand Linux fundamentals and concepts Prepare for your Redhat Certified System Administrator (RHCSA - EX200) In Detail Linux is the number one operating system in the corporate world. It is a popular open-source operating system that is easy to use and highly secure. If you want to start your career in Linux and have little or no knowledge of Linux, then this course is for you. In this course, you will master Linux installation, configuration, administration, troubleshooting, the command line, OS tools, and much more. We have included resume and interview workshops that will help you get your dream IT job. This course will also help significantly in passing your RHCSA, RHCE, LFCS, and CompTIA Linux+ certification exams. By the end of this course, you will be a professional Linux administrator, be able to apply for Linux jobs and to take the EX-200 exam, and become a Redhat Certified System Administrator (RHCSA - EX200). Audience This course is designed for people who want to start a career in Linux, those who want to become a RedHat Certified System Administrator (RHCSA EX-200), and anyone keen to master Linux command-line skills.
    Note: Online resource; Title from title screen (viewed February 28, 2022)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    The C++ Workshop (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839216626
    Language: English
    Pages: 1 online resource (606 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cut through the noise and get real results with a step-by-step approach to learning C++ development Key Features Ideal for the C++ beginner who is getting started for the first time A C++ tutorial with step-by-step exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book Description You already know you want to learn C++ development, and a smarter way to learn C++ 11 is to learn by doing. The C++ Workshop focuses on building up your practical skills so that you can develop high-performance software applications or even your own independent games with effective modern C++. You'll learn from real examples that lead to real results. Throughout The C++ Workshop, you'll take an engaging step-by-step approach to understanding C++ code. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning about advanced object-oriented principles. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The C++ Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your C++ book. Fast-paced and direct, The C++ Workshop is the ideal companion for C++ beginners. You'll build and iterate on your code like a software developer, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. What you will learn Get to grips with fundamental concepts and conventions of C++ 11 Learn about best practices for clean code and how to avoid common pitfalls Reuse and reduce common code using the C++ standard library Debug and compile logical errors and handle exceptions in your programs Who this book is for Our goal at Packt is to help you be successful, in whatever it is you choose to do. The C++ Workshop is an ideal C++ tutorial for the C++ beginner ...
    Note: Online resource; Title from title page (viewed February 7, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Microsoft Azure Architect Technologies : Exam Guide AZ-300 (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838553531
    Language: English
    Pages: 1 online resource (540 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Become a certified Azure Architect and learn to design effective solutions that span compute, security, networking, and development Key Features Learn to successfully design and architect powerful and cost-effective solutions on Microsoft Azure Prepare to gain AZ-300 certification with the help of mock tests and practice questions Enhance your computing, networking, storage, and security skills to design modern cloud-based solutions From designing solutions on Azure to configuring and managing virtual networks, AZ-300 certification can help you achieve all this and more. Whether you want to get certified or gain hands-on experience in administering, developing, and architecting Azure solutions, this study guide will help you get started. The book features not only the different exam objectives, but also guides you through configuring, managing, securing, and architecting Azure resources. Divided into five modules, this book will systematically take you through the different concepts and features as you advance through the sections. The first module demonstrates how to deploy and configure infrastructure. You will cover techniques related to implementing workloads and security, before learning how to create and deploy apps in the next module. To build on your knowledge, the final two modules will get you up to speed with implementing authentication, data security, and application and platform monitoring, along with covering Azure storage, alerting, and automation strategies. Finally, you'll work through exam-based mock tests with answers to boost your confidence in passing the exam. By the end of this book, you'll have learned the concepts and techniques you need to know in order to prepare for the AZ-300 exam, along with the skills to design effective solutions on Microsoft Azure. What you will learn Manage Azure subscriptions and resources Understand how to migrate servers to Azure Configure and manage virtual networks Monitor and troubleshoot virtual network connectivity Manage Azure Active Directory (Azure AD) Connect and implement multi-factor authentication Implement and manage hybrid identities Develop solutions that use Cosmos DB and the Azure SQL Database Get to grips with implementing secure data solutions Who this book is for This book is for solution architects and experienced developers who advise stakeholders and translate business requirements into secure, scalable, and reliable solutions. Technical architects interested in...
    Note: Online resource; Title from title page (viewed January 16, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Mastering JavaScript Functional Programming - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839213069
    Language: English
    Pages: 1 online resource (470 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Explore the functional programming paradigm and the different techniques for developing better algorithms, writing more concise code, and performing seamless testing Key Features Explore this second edition updated to cover features like async functions and transducers, as well as functional reactive programming Enhance your functional programming (FP) skills to build web and server apps using JavaScript Use FP to enhance the modularity, reusability, and performance of apps Book Description Functional programming is a paradigm for developing software with better performance. It helps you write concise and testable code. To help you take your programming skills to the next level, this comprehensive book will assist you in harnessing the capabilities of functional programming with JavaScript and writing highly maintainable and testable web and server apps using functional JavaScript. This second edition is updated and improved to cover features such as transducers, lenses, prisms and various other concepts to help you write efficient programs. By focusing on functional programming, you'll not only start to write but also to test pure functions, and reduce side effects. The book also specifically allows you to discover techniques for simplifying code and applying recursion for loopless coding. Gradually, you'll understand how to achieve immutability, implement design patterns, and work with data types for your application, before going on to learn functional reactive programming to handle complex events in your app. Finally, the book will take you through the design patterns that are relevant to functional programming. By the end of this book, you'll have developed your JavaScript skills and have gained knowledge of the essential functional programming techniques to program effectively. What you will learn Simplify JavaScript coding using function composition, pipelining, chaining, and transducing Use declarative coding as opposed to imperative coding to write clean JavaScript code Create more reliable code with closures and immutable data Apply practical solutions to complex programming problems using recursion Improve your functional code using data types, type checking, and immutability Understand advanced functional programming concepts such as lenses and prisms for data access Who this book is for This book is for JavaScript developers who want to enhance their programming skills and build efficient web applications. Frontend and backend dev...
    Note: Online resource; Title from title page (viewed January 24, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
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  • 5
    Online Resource
    Online Resource
    Kotlin Design Patterns (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839213021
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 22 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Uncover essential design patterns with Kotlin About This Video Implement classical designs via creational, structural, and behavioral patterns and get insights into the advantages and possibilities they bring Use a wide range of design patterns to polish your Android code and write cleaner code effortlessly A practical course comprising small and straightforward examples in a friendly style to help you write high-quality programs and create customized applications In Detail Over the years, programmers have run into pretty much the same problems time and time again; not every problem is entirely unique. Therefore, over time programmers applied varying solutions to these problems, and this is how design patterns were born. This course will walk you through some centrally significant design patterns so that you can easily resolve programming issues encountered in your day-to-day tasks. You'll learn these patterns in one of the most modern languages: Kotlin! We cover the three major areas in design patterns: creational patterns, structural patterns, and behavioral patterns. We also implement one structural pattern-Decorators-that plays an important role in adding functionalities to your programs. We take a look at different kinds of problem and implement the required patterns while avoiding common pitfalls. We also supply useful tips and tricks to use design patterns more effectively. By the end of the course, you will be confident about using varying types of design patterns to solve common design problems. Please note that a basic familiarity with Kotlin is desirable to get the most out of this course, along with some experience working with Android Studio.
    Note: Online resource; Title from title screen (viewed January 30, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
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  • 6
    Online Resource
    Online Resource
    Hands-On Software Engineering with Golang (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (640 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore software engineering methodologies, techniques, and best practices in Go programming to build easy-to-maintain software that can effortlessly scale on demand Key Features Apply best practices to produce lean, testable, and maintainable Go code to avoid accumulating technical debt Explore Go's built-in support for concurrency and message passing to build high-performance applications Scale your Go programs across machines and manage their life cycle using Kubernetes Book Description Over the last few years, Go has become one of the favorite languages for building scalable and distributed systems. Its opinionated design and built-in concurrency features make it easy for engineers to author code that efficiently utilizes all available CPU cores. This Golang book distills industry best practices for writing lean Go code that is easy to test and maintain, and helps you to explore its practical implementation by creating a multi-tier application called Links 'R' Us from scratch. You'll be guided through all the steps involved in designing, implementing, testing, deploying, and scaling an application. Starting with a monolithic architecture, you'll iteratively transform the project into a service-oriented architecture (SOA) that supports the efficient out-of-core processing of large link graphs. You'll learn about various cutting-edge and advanced software engineering techniques such as building extensible data processing pipelines, designing APIs using gRPC, and running distributed graph processing algorithms at scale. Finally, you'll learn how to compile and package your Go services using Docker and automate their deployment to a Kubernetes cluster. By the end of this book, you'll know how to think like a professional software developer or engineer and write lean and efficient Go code. What you will learn Understand different stages of the software development life cycle and the role of a software engineer Create APIs using gRPC and leverage the middleware offered by the gRPC ecosystem Discover various approaches to managing package dependencies for your projects Build an end-to-end project from scratch and explore different strategies for scaling it Develop a graph processing system and extend it to run in a distributed manner Deploy Go services on Kubernetes and monitor their health using Prometheus Who this book is for This Golang programming book is for developers and software engineers looking to use Go to design and build scalable dis...
    Note: Online resource; Title from title page (viewed January 24, 2020) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781838554491/?ar
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    Online Resource
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  • 7
    Online Resource
    Online Resource
    Hands-On Genetic Algorithms with Python (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838557744
    Language: English
    Pages: 1 online resource (346 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy Key Features Explore the ins and outs of genetic algorithms with this fast-paced guide Implement tasks such as feature selection, search optimization, and cluster analysis using Python Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications Book Description Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence. After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications. By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains. What you will learn Understand how to use state-of-the-art Python tools to create genetic algorithm-based applications Use genetic algorithms to optimize functions and solve planning and scheduling problems Enhance the performance of machine learning models and optimize deep learning network architecture Apply genetic algorithms to reinforcement learning tasks using OpenAI Gym Explore how images can be reconstructed using a set of semi-transparent shapes Discover other bio-inspired techniques, such as genetic programming and particle swarm optimization Who this book is for This book is for software developers, data scientists, and AI enthusiasts who want to us...
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 8
    Online Resource
    Online Resource
    Hands-On Enterprise Automation on Linux (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (512 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Achieve enterprise automation in your Linux environment with this comprehensive guide Key Features Automate your Linux infrastructure with the help of practical use cases and real-world scenarios Learn to plan, build, manage, and customize OS releases in your environment Enhance the scalability and efficiency of your infrastructure with advanced Linux system administration concepts Book Description Automation is paramount if you want to run Linux in your enterprise effectively. It helps you minimize costs by reducing manual operations, ensuring compliance across data centers, and accelerating deployments for your cloud infrastructures. Complete with detailed explanations, practical examples, and self-assessment questions, this book will teach you how to manage your Linux estate and leverage Ansible to achieve effective levels of automation. You'll learn important concepts on standard operating environments that lend themselves to automation, and then build on this knowledge by applying Ansible to achieve standardization throughout your Linux environments. By the end of this Linux automation book, you'll be able to build, deploy, and manage an entire estate of Linux servers with higher reliability and lower overheads than ever before. What you will learn Perform large-scale automation of Linux environments in an enterprise Overcome the common challenges and pitfalls of extensive automation Define the business processes needed to support a large-scale Linux environment Get well-versed with the most effective and reliable patch management strategies Automate a range of tasks from simple user account changes to complex security policy enforcement Learn best practices and procedures to make your Linux environment automatable Who this book is for This book is for anyone who has a Linux environment to design, implement, and maintain. Open source professionals including infrastructure architects and system administrators will find this book useful. You're expected to have experience in implementing and maintaining Linux servers along with knowledge of building, patching, and maintaining server infrastructure. Although not necessary, knowledge of Ansible or other automation technologies will be beneficial.
    Note: Online resource; Title from title page (viewed January 24, 2020) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781789131611/?ar
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  • 9
    Online Resource
    Online Resource
    AZ-900 Microsoft Azure Fundamentals Exam Quick Prep (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800206175
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 23 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Learn Microsoft Azure and become a certified expert to give your career a new direction About This Video Get to grips with Azure fundamental concepts Derive your own cloud solutions by understanding Microsoft Azure cloud Learn an important and mandatory skill for Windows server administrators and developers In Detail AZ-900 Azure Fundamentals exam is intended for candidates with non-technical backgrounds, such as those involved in selling or purchasing cloud-based solutions and services, as well as those with a technical background who have a need to validate their foundational-level knowledge around cloud services and Azure. This course starts off by setting up a blueprint of what the course covers and how you will travel through the concepts. You will begin by exploring the benefits of cloud services and how as-a-service offerings function. You will further cover cloud models and core Azure architectural components. In the concluding modules, you will understand the internet of things (IoT) on Azure. By the end of this course, you'll become skilled enough to confidently appear in the Microsoft Azure fundamentals examination.
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 10
    Online Resource
    Online Resource
    Artificial Intelligence with Python - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (618 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x and TensorFlow 2, with seven new chapters that cover RNNs, AI & Big Data, fundamental use cases, chatbots, and more. Key Features Completely updated and revised to Python 3.x and TensorFlow 2 New chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineering Learn more about deep learning algorithms, machine learning data pipelines, and chatbots Book Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x and TensorFlow 2. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learn Understand what artificial intelligence, machine learning, and data science are Explore the most common artificial intelligence use cases Learn how to build a machine learning pipeline Assimilate the basics of feature selection and feature engineering Identify the differences between supervised and unsupervised learning Discover the most recent advances and tools offered for AI development in the cloud Develop automatic speech recognition systems and chatbots Apply AI algorithms to time series data Who this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 11
    Online Resource
    Online Resource
    Clean Code in JavaScript (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (548 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get the most out of JavaScript for building web applications through a series of patterns, techniques, and case studies for clean coding Key Features Write maintainable JS code using internal abstraction, well-written tests, and well-documented code Understand the agents of clean coding like SOLID principles, OOP, and functional programming Explore solutions to tackle common JavaScript challenges in building UIs, managing APIs, and writing states Book Description Building robust apps starts with creating clean code. In this book, you'll explore techniques for doing this by learning everything from the basics of JavaScript through to the practices of clean code. You'll write functional, intuitive, and maintainable code while also understanding how your code affects the end user and the wider community. The book starts with popular clean-coding principles such as SOLID, and the Law of Demeter (LoD), along with highlighting the enemies of writing clean code such as cargo culting and over-management. You'll then delve into JavaScript, understanding the more complex aspects of the language. Next, you'll create meaningful abstractions using design patterns, such as the Class Pattern and the Revealing Module Pattern. You'll explore real-world challenges such as DOM reconciliation, state management, dependency management, and security, both within browser and server environments. Later, you'll cover tooling and testing methodologies and the importance of documenting code. Finally, the book will focus on advocacy and good communication for improving code cleanliness within teams or workplaces, along with covering a case study for clean coding. By the end of this book, you'll be well-versed with JavaScript and have learned how to create clean abstractions, test them, and communicate about them via documentation. What you will learn Understand the true purpose of code and the problems it solves for your end-users and colleagues Discover the tenets and enemies of clean code considering the effects of cultural and syntactic conventions Use modern JavaScript syntax and design patterns to craft intuitive abstractions Maintain code quality within your team via wise adoption of tooling and advocating best practices Learn the modern ecosystem of JavaScript and its challenges like DOM reconciliation and state management Express the behavior of your code both within tests and via various forms of documentation Who this book is for This book is for anyone who writ...
    Note: Online resource; Title from title page (viewed January 20, 2020) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781789957648/?ar
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  • 12
    Online Resource
    Online Resource
    The Comprehensive Android Developer Bootcamp (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800561083
    Language: English
    Pages: 1 online resource (1 video file, approximately 43 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Learn new Android APIs such as RoomDatabase, ML Kit for face recognition, Cloud Firestore, Firebase, Maps, and the Android Studio IDE (integrated development environment) About This Video Build Android apps from scratch by using the Android Studio IDE and Java Explore new Android APIs such as Firebase Realtime Database and ML Kit and the Room Persistence Library Upload your apps to Google Play Store and reach millions of Android users worldwide In Detail Android is one the most popular operating systems in the world, so Android app development can help you explore a wide range of opportunities to build a successful career. If you have creative app ideas but don't know where to start, are looking to switch careers and Android development has piqued your interest, or you simply want to add more value to the workplace, this fully updated course will help you build a strong foundation in Android development, Android Studio, and object-oriented Java programming. The course begins by teaching you how to install Android Studio for Windows, and takes you through the initial steps involved in Android development. You'll then delve into Java and get to grips with object-oriented programming in Java, along with focusing on Java inheritance and data structures. As you advance, you'll understand the Android app structure and learn how to build apps such as a trivia app and the Make It Rain app. Finally, you'll discover how to finalize the Android apps and run them on physical devices. By the end of this course, you'll have fully understood how to develop Android apps and be able to start building on your app ideas.
    Note: Online resource; Title from title screen (viewed May 29, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 13
    Online Resource
    Online Resource
    Securing Blockchain Networks like Ethereum and Hyperledger Fabric (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (244 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build secure private blockchain networks to handle mission-critical security challenges such as denial-of-service attacks, user wallets, and pool mining attacks Key Features Explore blockchain concepts such as cryptography, consensus algorithms, and security assumptions Architect network security for mission-critical decentralized apps (Dapps) using design security considerations Consider various deployment and operational aspects while building a blockchain network Book Description Blockchain adoption has extended from niche research to everyday usage. However, despite the blockchain revolution, one of the key challenges faced in blockchain development is maintaining security, and this book will demonstrate the techniques for doing this. You'll start with blockchain basics and explore various blockchain attacks on user wallets, and denial of service and pool mining attacks. Next, you'll learn cryptography concepts, consensus algorithms in blockchain security, and design principles while understanding and deploying security implementation guidelines. You'll not only cover architectural considerations, but also work on system and network security and operational configurations for your Ethereum and Hyperledger Fabric network. You'll later implement security at each level of blockchain app development, understanding how to secure various phases of a blockchain app using an example-based approach. You'll gradually learn to securely implement and develop decentralized apps, and follow deployment best practices. Finally, you'll explore the architectural components of Hyperledger Fabric, and how they can be configured to build secure private blockchain networks. By the end of this book, you'll have learned blockchain security concepts and techniques that you can implement in real blockchain production environments. What you will learn Understand blockchain consensus algorithms and security assumptions Design secure distributed applications and smart contracts Understand how blockchains manage transactions and help to protect wallets and private keys Prevent potential security threats that can affect distributed ledger technologies (DLTs) and blockchains Use pentesting tools for assessing potential flaws in Dapps and smart contracts Assess privacy compliance issues and manage sensitive data with blockchain Who this book is for This book is for blockchain developers, security professionals, and Ethereum and Hyperledger developers who are looking to im...
    Note: Online resource; Title from title page (viewed April 13, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 14
    Online Resource
    Online Resource
    Salesforce for Beginners (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (472 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get a 360-degree view of the Salesforce platform and learn how to use it for sales, service, marketing, and automating business processes. Key Features Understand how to use core Salesforce objects for maximum efficiency Build various dashboards and reports to analyze results and improve visibility in your business processes Learn the basics of Salesforce administration and mobile app set up Book Description Salesforce is the world's leading Customer Relationship Management (CRM) software, helping businesses connect with their constituents and partners. This book will give you a comprehensive introduction to managing sales, marketing, customer relationships, and overall administration for your organization. You'll learn how to configure and use Salesforce for maximum efficiency and return on investment. You'll start by learning how to create activities, manage leads, and develop your prospects and sales pipeline using opportunities and accounts, and then understand how you can enhance marketing activities using campaigns. Packed with real-world business use cases, this Salesforce book will show you how to analyze your business information accurately to make productive decisions. As you advance, you'll get to grips with building various reports and dashboards in Salesforce to derive valuable business insights. Finally, you'll explore tools such as process builder, approval processes, and assignment rules to achieve business process automation and set out on the path to becoming a successful Salesforce Administrator. By the end of the book, you'll have learned how to use Salesforce effectively to achieve your business goals. What you will learn Understand the difference between Salesforce Lightning and Salesforce Classic Create and manage leads in Salesforce Explore business development with accounts and contacts in Salesforce Find out how stages and sales processes help you manage your opportunity pipeline Achieve marketing goals using Salesforce campaigns Perform business analysis using reports and dashboards Gain a high-level overview of the items in the administration section Grasp the different aspects needed to build an effective and flexible Salesforce security model Who this book is for If you're new to Salesforce and want to learn it from scratch, this book is for you. No prior knowledge of Salesforce is required to get started with this book.
    Note: Online resource; Title from title page (viewed May 29, 2020) , Mode of access: World Wide Web.
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  • 15
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    Robotic Process Automation Projects (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839217357
    Language: English
    Pages: 1 online resource (388 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn RPA by building business solutions such as ERP and CRM automation, software robots, and intelligent process automation from scratch Key Features Use popular RPA tools Automation Anywhere A2019 and UiPath, for real-world task automation Build automation solutions for domains such as System Administration, Finance, HR, Supply Chain, and Customer Relations Extend your RPA capabilities by implementing Intelligent process automation with APIs and AI Book Description Robotic Process automation helps businesses to automate monotonous tasks that can be performed by machines. This project-based guide will help you progress through easy to more advanced RPA projects. You'll learn the principles of RPA and how to architect solutions to meet the demands of business automation, along with exploring the most popular RPA tools - UiPath and Automation Anywhere. In the first part, you'll learn how to use UiPath by building a simple helpdesk ticket system. You'll then automate CRM systems by integrating Excel data with UiPath. After this, the book will guide you through building an AI-based social media moderator using Google Cloud Vision API. In the second part, you'll learn about Automation Anywhere's latest Cloud RPA platform (A2019) by creating projects such as an automated ERP administration system, an AI bot for order and invoice processing, and an automated emergency notification system for employees. Later, you'll get hands-on with advanced RPA tasks such as invoking APIs, before covering complex concepts such as Artificial Intelligence (AI) and machine learning in automation to take your understanding of RPA to the next level. By the end of the book, you'll have a solid foundation in RPA with experience in building real-world projects. What you will learn Explore RPA principles, techniques, and tools using an example-driven approach Understand the basics of UiPath by building a helpdesk ticket generation system Automate read and write operations from Excel in a CRM system using UiPath Build an AI-based social media moderator platform using Google Cloud Vision API with UiPath Explore how to use Automation Anywhere by building a simple sales order processing system Build an automated employee emergency reporting system using Automation Anywhere Test your knowledge of building an automated workflow through fun exercises Who this book is for This RPA book is for enterprise application developers, software developers, business analysts, or any profess...
    Note: Online resource; Title from title page (viewed May 26, 2020) , Mode of access: World Wide Web.
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  • 16
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    React Native Projects (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839210112
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Expand and enhance your skills by building multiple practical, real-world projects with React Native. About This Video Develop practical cross-platform projects with React Native using several of its most popular packages Strengthen your React Native skills by building a scalable codebase that enhances code sharing Get to grips with React Native for Windows, a powerful framework for building native Windows apps with React In Detail Understanding essential React Native concepts and how it differs from React, can be difficult to translate into a working proof of concept. It is imperative to utilize your skills and knowledge in real-world projects in order to implement solutions when in the workplace or developing your own application. This course aims to bridge the gap between the primary knowledge of React Native and its implementation. Focusing on developing several practical applications to handle issues such as navigation, state management, and UI/UX concerns. You'll start by developing a Note application that uses Async storage to persist notes. Then learn how to fetch data and images from external APIs for your project and enhance your UI skills. Then finally, you'll learn how to perform effective state management and develop a useful project using the React Native for Windows framework. By the end of this course, you will have gained the experience needed to make confident decisions when it comes to application development with React Native.
    Note: Online resource; Title from title screen (viewed April 16, 2020) , Mode of access: World Wide Web.
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  • 17
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    Machine Learning for Finance (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789535143
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Machine Learning techniques for solving major financial issues About This Video Sets a foundation of what to follow by teaching visualization and exploratory analysis of financial data, the typical features like RSI and moving average. Predict stock prices by using Machine Learning models like Linear Regression, Random Forest, XGBoost and neural networks. Use modern portfolio theory, Sharpe ratio, investment simulation, and machine learning to create a rewarding portfolio of stock investments. In Detail Machine Learning for Finance is a perfect course for financial professionals entering the fintech domain. It shows how to solve some of the most common and pressing issues facing institutions in the financial industry, from retail banks to hedge funds. This video course focuses on Machine Learning and covers a range of analysis tools, such as NumPy, Matplotlib, and Pandas. It is packed full of hands-on code simulating many of the problems and providing working solutions. This course aims to build your confidence and the experience to go ahead and tackle real-life problems in financial analysis. The industry is adopting automatic, data-driven algorithms at a rapid pace, and Machine Learning for Finance gives you the skills you need to be at the forefront. By the end of this course, you will be equipped with all the tools from the world of Finance, machine learning and deep learning essential for tackling all these pressing issues in the area of Fintech.
    Note: Online resource; Title from title screen (viewed April 23, 2020) , Mode of access: World Wide Web.
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  • 18
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    Learn C# Programming (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (636 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get started with C# and strengthen your knowledge of core programming concepts such as procedural, object-oriented, generic, functional, and asynchronous programming along with the latest features of C# 8 Key Features Learn the fundamentals of C# with the help of easy-to-follow examples and explanations Leverage the latest features of C# 8, including nullable reference types, pattern matching enhancements, and asynchronous streams Explore object-oriented programming, functional programming, and multithreading concepts Book Description The C# programming language is often developers' primary choice for creating a wide range of applications for desktop, cloud, and mobile. In nearly two decades of its existence, C# has evolved from a general-purpose, object-oriented language to a multi-paradigm language with impressive features. This book will take you through C# from the ground up in a step-by-step manner. You'll start with the building blocks of C#, which include basic data types, variables, strings, arrays, operators, control statements, and loops. Once comfortable with the basics, you'll then progress to learning object-oriented programming concepts such as classes and structures, objects, interfaces, and abstraction. Generics, functional programming, dynamic, and asynchronous programming are covered in detail. This book also takes you through regular expressions, reflection, memory management, pattern matching, exceptions, and many other advanced topics. As you advance, you'll explore the .NET Core 3 framework and learn how to use the dotnet command-line interface (CLI), consume NuGet packages, develop for Linux, and migrate apps built with .NET Framework. Finally, you'll understand how to run unit tests with the Microsoft unit testing frameworks available in Visual Studio. By the end of this book, you'll be well-versed with the essentials of the C# language and be ready to start creating apps with it. What you will learn Get to grips with all the new features of C# 8 Discover how to use attributes and reflection to build extendable applications Utilize LINQ to uniformly query various sources of data Use files and streams and serialize data to JSON and XML Write asynchronous code with the async-await pattern Employ .NET Core tools to create, compile, and publish your applications Create unit tests with Visual Studio and the Microsoft unit testing frameworks Who this book is for If you have little experience in coding or C# and want to learn ...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 19
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    Hands-On RTOS with Microcontrollers (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (496 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Build a strong foundation in designing and implementing real-time systems with the help of practical examples Key Features Get up and running with the fundamentals of RTOS and apply them on STM32 Enhance your programming skills to design and build real-world embedded systems Get to grips with advanced techniques for implementing embedded systems Book Description A real-time operating system (RTOS) is used to develop systems that respond to events within strict timelines. Real-time embedded systems have applications in various industries, from automotive and aerospace through to laboratory test equipment and consumer electronics. These systems provide consistent and reliable timing and are designed to run without intervention for years. This microcontrollers book starts by introducing you to the concept of RTOS and compares some other alternative methods for achieving real-time performance. Once you've understood the fundamentals, such as tasks, queues, mutexes, and semaphores, you'll learn what to look for when selecting a microcontroller and development environment. By working through examples that use an STM32F7 Nucleo board, the STM32CubeIDE, and SEGGER debug tools, including SEGGER J-Link, Ozone, and SystemView, you'll gain an understanding of preemptive scheduling policies and task communication. The book will then help you develop highly efficient low-level drivers and analyze their real-time performance and CPU utilization. Finally, you'll cover tips for troubleshooting and be able to take your new-found skills to the next level. By the end of this book, you'll have built on your embedded system skills and will be able to create real-time systems using microcontrollers and FreeRTOS. What you will learn Understand when to use an RTOS for a project Explore RTOS concepts such as tasks, mutexes, semaphores, and queues Discover different microcontroller units (MCUs) and choose the best one for your project Evaluate and select the best IDE and middleware stack for your project Use professional-grade tools for analyzing and debugging your application Get FreeRTOS-based applications up and running on an STM32 board Who this book is for This book is for embedded engineers, students, or anyone interested in learning the complete RTOS feature set with embedded devices. A basic understanding of the C programming language and embedded systems or microcontrollers will be helpful.
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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  • 20
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    Hands-On Machine Learning with C++ (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (530 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key Features Become familiar with data processing, performance measuring, and model selection using various C++ libraries Implement practical machine learning and deep learning techniques to build smart models Deploy machine learning models to work on mobile and embedded devices Book Description C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You'll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you'll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you'll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format. By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems. What you will learn Explore how to load and preprocess various data types to suitable C++ data structures Employ key machine learning algorithms with various C++ libraries Understand the grid-search approach to find the best parameters for a machine learning model Implement an algorithm for filtering anomalies in user data using Gaussian distribution Improve collaborative filtering to deal with dynamic user preferences Use C++ libraries and APIs to manage model structures and parameters Implement a C++ program to solve image classification tasks with LeNet architecture Who this book is for You will find this C++ machine learning book useful if you want to get started with machine learning algorithms an...
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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  • 21
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    Hands-On Edge Analytics with Azure IoT (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (262 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV) Key Features Become well-versed with best practices for implementing automated analytical computations Discover real-world examples to extend cloud intelligence Develop your skills by understanding edge analytics and applying it to research activities Book Description Edge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it's gaining momentum. You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you've learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure. By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations. What you will learn Discover the key concepts and architectures used with edge analytics Understand how to use long-distance communication protocols for edge analytics Deploy Microsoft Azure IoT Edge to a Raspberry Pi Create Node-RED dashboards with MQTT and Text to Speech (TTS) Use MicroPython for developing edge analytics apps Explore various machine learning techniques and discover how machine learning is related to edge analytics Use camera and vision recognition algorithms on the sensory side to design an edge analytics app Monitor and audit edge analytics apps Who this book is for If you are a data analyst, data architect, or data scientist who is interes...
    Note: Online resource; Title from title page (viewed May 21, 2020) , Mode of access: World Wide Web.
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  • 22
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    Hands-On Transfer Learning with TensorFlow 2.0 (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789953947
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Hands-on implementation with the power of TensorFlow 2.0 About This Video Refresh your knowledge of CNN with in-depth explanations of how transfer learning works Use transfer learning for both image and text classification, and compare/contrast with the training from scratch approach Learn new features of TensorFlow 2.0, tf.keras, TensorFlow Hub, TensorFlow Model Maker, and on-device training In Detail Transfer learning involves using a pre-trained model on a new problem. It is currently very popular in the field of Deep Learning because it enables you to train Deep Neural Networks with comparatively little data. In Transfer learning, knowledge of an already trained Machine Learning model is applied to a different but related problem. The general idea is to use knowledge, which a model has learned from a task where a lot of labeled training data is available, in a new task where we don't have a lot of data. Instead of starting the learning process from scratch, you start from patterns that have been learned by solving a related task. In this course, learn how to implement transfer learning to solve a different set of machine learning problems by reusing pre-trained models to train other models. Hands-on examples with transfer learning will get you started, and allow you to master how and why it is extensively used in different deep learning domains. You will implement practical use cases of transfer learning in CNN and RNN such as using image classifiers, text classification, sentimental analysis, and much more. You'll be shown how to train models and how a pre-trained model is used to train similar untrained models in order to apply the transfer learning process even further. Allowing you to implement advanced use cases and learn how transfer learning is gaining momentum when it comes to solving real-world problems in deep learning. By the end of this course, you will not only be able to build machine learning models, but have mastered transferring with tf.keras, TensorFlow Hub, and TensorFlow Lite tools.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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  • 23
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    Hands-On One-shot Learning with Python (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    ISBN: 9781838825461
    Language: English
    Pages: 1 online resource (156 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get to grips with building powerful deep learning models using PyTorch and scikit-learn Key Features Learn how you can speed up the deep learning process with one-shot learning Use Python and PyTorch to build state-of-the-art one-shot learning models Explore architectures such as Siamese networks, memory-augmented neural networks, model-agnostic meta-learning, and discriminative k-shot learning Book Description One-shot learning has been an active field of research for scientists trying to develop a cognitive machine that mimics human learning. With this book, you'll explore key approaches to one-shot learning, such as metrics-based, model-based, and optimization-based techniques, all with the help of practical examples. Hands-On One-shot Learning with Python will guide you through the exploration and design of deep learning models that can obtain information about an object from one or just a few training samples. The book begins with an overview of deep learning and one-shot learning and then introduces you to the different methods you can use to achieve it, such as deep learning architectures and probabilistic models. Once you've got to grips with the core principles, you'll explore real-world examples and implementations of one-shot learning using PyTorch 1.x on datasets such as Omniglot and MiniImageNet. Finally, you'll explore generative modeling-based methods and discover the key considerations for building systems that exhibit human-level intelligence. By the end of this book, you'll be well-versed with the different one- and few-shot learning methods and be able to use them to build your own deep learning models. What you will learn Get to grips with the fundamental concepts of one- and few-shot learning Work with different deep learning architectures for one-shot learning Understand when to use one-shot and transfer learning, respectively Study the Bayesian network approach for one-shot learning Implement one-shot learning approaches based on metrics, models, and optimization in PyTorch Discover different optimization algorithms that help to improve accuracy even with smaller volumes of data Explore various one-shot learning architectures based on classification and regression Who this book is for If you're an AI researcher or a machine learning or deep learning expert looking to explore one-shot learning, this book is for you. It will help you get started with implementing various one-shot techniques to train models faster. Some Pyt...
    Note: Online resource; Title from title page (viewed April 10, 2020) , Mode of access: World Wide Web.
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  • 24
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    Hands-On Deep Learning with R (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781788996839
    Language: English
    Pages: 1 online resource (330 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Key Features Understand deep learning algorithms and architectures using R and determine which algorithm is best suited for a specific problem Improve models using parameter tuning, feature engineering, and ensembling Apply advanced neural network models such as deep autoencoders and generative adversarial networks (GANs) across different domains Book Description Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming. This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You'll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you'll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems. By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms. What you will learn Design a feedforward neural network to see how the activation function computes an output Create an image recognition model using convolutional neural networks (CNNs) Prepare data, decide hidden layers and neurons and train your model with the backpropagation algorithm Apply text cleaning techniques to remove uninformative text using NLP Build, train, and evaluate a GAN model for face generation Understand the concept and implementation of reinforcement learning in R Who this book is for This book is for data scientists, machine learning engineers, and deep learning developers who are familiar with machine learning and are lo...
    Note: Online resource; Title from title page (viewed April 24, 2020) , Mode of access: World Wide Web.
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  • 25
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    CentOS 8 Essentials (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (261 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn how to install, use, and administer CentOS 8 with the help of expert guidance and engaging examples Key Features Become familiar with a popular and stable Red Hat Enterprise Linux distribution Gain a thorough overview of the operating system by learning concepts such as disk partitioning, KVM virtualization, and more Explore advanced topics such as logical volume management and firewall configuration Book Description Linux kernel development is perhaps the world's largest collaborative project to date. With CentOS 8 Essentials, you'll be given easily accessible information to install, use, and administer the CentOS 8 distribution. The book begins with a concise history of the Linux operating system and CentOS. You'll then learn how to install CentOS 8 using the dual boot configuration so that it can coexist with Windows on the same drive. After installing CentOS, you'll learn GNOME 3 - the desktop environment included with CentOS 8 that helps you navigate through the distribution. As you progress, you'll explore the Cockpit web interface that enables you to perform tasks via a web browser instead of using the command-line. You'll then take a brief tour of the Bash shell environment and learn ways to administer a system that doesn't have a desktop or a Cockpit interface. While learning advanced concepts, you'll see how to manage swap space efficiently and control the performance of CentOS 8. By the end of the book, you'll have all the essential information you need to comfortably start using the CentOS 8 distribution. What you will learn Work in dual boot environments Install and manage packages with App Streams Perform systemd unit configuration tasks using the systemctl command-line tool Configure the RHEL 8 firewall Share files with Linux and Windows systems using Samba and NFS Deploy KVM-based virtual machines Who this book is for CentOS 8 Essentials is an ideal book for you if you want essential information to start using the CentOS 8 distribution. Whether you are a developer, a system administrator, or a tech lover with no previous Linux administration background, you'll be able to start your adventure with this book.
    Note: Online resource; Title from title page (viewed May 12, 2020) , Mode of access: World Wide Web.
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    Elegant Automation Frameworks with Python and Pytest (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    ISBN: 9781800561489
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Leverage pytest's fast, scalable, and professional-grade framework design to build and run automated test suites like a pro About This Video Become proficient in automated testing using pytest Create a well-organized, scalable test framework on a professional level Find out how fixtures can eliminate up to 80% of code in a bloated codebase In Detail Python is one of the most popular programming languages in the world, with its demand increasing by the minute. Pytest - one of the most actively maintained testing frameworks in the industry - provides an incredible set of tools for faster, less stressful testing. In this course, you'll learn how to eliminate boilerplate setup and teardown code, run multiple tests simultaneously, and track your test run history to identify slow or problematic tests. Beginning with a brief introduction and a step-by-step setup of pytest, this course will walk you through each session. You'll discover what makes a good framework, and, more importantly, what makes a bad one. As you advance, you'll learn how to use test searching to avoid cumbersome test suites, and how fixtures can eliminate up to 80% of code in case of code bloat. This interactive course is also equipped with information-rich videos to help you grasp the concepts with ease. By the end of this course, you'll be ready to build high-performance, well-organized, scalable test frameworks on the professional level.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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    Complete Bash Shell Scripting (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    ISBN: 9781800209695
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Automate repetitive tasks with Bash Shell Scripting to save valuable time About This Video Learn the basics of Bash Shell Scripting Explore the input and output commands for shell scripting Understand arithmetic operators with detailed explanations In Detail This course is designed to help you automate repetitive tasks and master Bash Shell Scripting easily. With most organizations adopting the open source Linux and Unix operating systems, there is an ever-increasing demand for developers with Linux and Unix skills. This course covers command-line commands and Bash Shell Scripting extensively to help you become a Linux\Unix OS expert.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 28
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    Android Studio 3.6 Development Essentials - Java Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (789 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Update your Android studio skills and build modern Android applications using Java Key Features Develop a comprehensive understanding of Android Jetpack Build your familiarity with Android architecture guidelines Study the design of Android applications and its user interfaces in-depth Book Description To meet the demands of the mobile market and keep its developer community ahead, Android rolls out frequent updates. Focussing on Android Jetpack libraries, this book teaches you how to build reliable Android applications using Java. The book begins with the set-up of Android development and testing environments on Windows, macOS, and Linux. You will create an Android app and test it on an Android virtual device and a physical Android device. Next, you'll explore the features of Android Studio 3.6, Android 10, Android architecture, and Android Jetpack. Moving ahead, you'll cover touch-screen handling, cloud-based file storage, and foldable device support. The book then covers advanced topics such as views and widget implementation, multi-window support integration, and biometric authentication. Finally, you will learn to upload your app to the Google Play Console and handle the build process with Gradle. By the end of this book, you'll have all the knowledge and skills needed to create modern Android applications. What you will learn Design UI for Android applications using Android Studio Editor Build reliable apps with fewer coding errors using Android Jetpack Test Android applications on physical devices and emulators Explore unique ways to handle single- and multi-touch events Use Gesture libraries to implement gesture and pinch recognition systems Increase your app visibility with app links Who this book is for This book is ideal for application developers and programmers who want to leverage their Android skills using Java. A basic understanding of Java and Android SDK will help you to learn the concepts covered in this book more quickly.
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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    C# and Unity by Example : 20+ Mini Game Development Projects (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800561069
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 hr., 13 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get to grips with Unity game development by building over 20 mini projects using Unity and C# About This Video Build a 2D shooter game in just 1 hour Create your first 3D model and import it into Unity Integrate video ads in your games In Detail The Unity game engine is free and easy to learn and has excellent documentation. Equipped with Unity game development skills and knowledge of C# scripting, you will be able to build impressive games easily. Suitable for beginners, this course includes more than 100 lectures and over 20 hours of content. You'll learn Unity 2D and 3D game development by building 20+ mini projects and develop skills that you can use in any of your Unity projects later. Starting with the installation of Unity and Visual Studio, this course will take you through the process of learning game development with Unity by building a variety of projects. For budding programmers, a separate section covers the fundamentals of C# scripting for game development in Unity. Once you've mastered the basics, the course will take you through sample projects that demonstrate the process of creating games with Unity. By the end of the course, you'll have developed the knowledge to create fully-functional games with Unity and C# and use your C# skills to build any other non-game projects. Complete with working files, you'll be able to build game projects with the author and receive a verifiable certificate of completion at the end of the course.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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    AZ-900 : Microsoft Azure Fundamentals Certification 2020 (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800206946
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Prepare for the Microsoft AZ 900 exam with the help of mock tests and case studies About This Video Explore diagrams, pictorial representations, and live demos to grasp concepts and reinforce the learning Understand the fundamentals of Azure using real-world, enterprise-level cloud projects Cover key points involved in migrating complex infrastructure In Detail Exam AZ-900 is designed for candidates looking to demonstrate foundation-level knowledge of Microsoft Azure cloud services. This exam can be taken as an optional first step in learning about cloud services and how those concepts are exemplified by Microsoft Azure. It can be taken as a precursor to Microsoft Azure or Microsoft cloud services exams. While it is a beneficial first step, validating your fundamental knowledge, taking this exam is not a prerequisite for any other Azure certifications. By the end of this course, you'll be fully equipped with the knowledge required to pass the AZ-900 exam. If you're looking for an entry point to Microsoft Azure, this AZ-900 exam prep course is what you need!
    Note: Online resource; Title from title screen (viewed April 27, 2020) , Mode of access: World Wide Web.
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    Android Studio 3.6 Development Essentials - Kotlin Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (817 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Update your Android Studio skills and build modern Android applications using Kotlin Key Features Set up Android development and testing environments Gain core knowledge of the Kotlin programming language Study the design of Android applications and its user interfaces in-depth Book Description The popularity of Kotlin as an Android-compatible language keeps growing every day. This book will help you build your own Android applications using Kotlin. Android Studio 3.6 Development Essentials - Kotlin Edition first shows you how to install Android development and test environments on different operating systems. Next, you will create an Android app and a virtual device in Android Studio and install an Android application on an emulator. You will test apps on emulators and on physical Android devices. Next, you'll explore the features of Android Studio 3.6, Android 10, and Android architecture. The focus then shifts to the Kotlin language. You'll be given an overview of Kotlin, and practice converting code from Java to Kotlin. You'll also explore data types, operators, expressions, loops, functions, and the basics of OOP in Kotlin. The book will then cover Android Jetpack and how to create an example app project using the ViewModel component. You'll study advanced topics such as views and widget implementation, multi-window support integration, and biometric authentication. Finally, you will learn to upload your app to the Google Play Console and handle the build process with Gradle. By the end of this book, you will have gained the knowledge and skills required to develop powerful Android applications using Kotlin. What you will learn Build reliable apps with less error-prone code using Kotlin Use Java-based Android libraries in Kotlin Reduce the amount of code using Android Jetpack Explore unique ways to handle single and multi-touch events Use Gesture libraries to implement gesture and pinch recognition systems Increase your app visibility with app links Who this book is for This book is ideal for anyone who wants to learn how to develop powerful Android Applications using Kotlin and Android Studio 3.6. A basic understanding of Kotlin and Android SDK is recommended.
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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  • 32
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    Xamarin.Forms Projects - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (504 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Learn to build cross-platform mobile apps using the latest features in Xamarin.Forms 4 with the help of a series of projects including apps for real-time chatting, AR games, location-tracking, weather, photo galleries, and much more Key Features Develop mobile apps, AR games, and chatbots of varying complexity with the help of real-world examples Explore the important features of Xamarin.Forms 4 such as Shell, CollectionView, and CarouselView Get to grips with advanced concepts such as AR and VR and machine learning for mobile development Book Description Xamarin.Forms is a lightweight cross-platform development toolkit for building apps with a rich user interface. Improved and updated to cover the latest features of Xamarin.Forms, this second edition covers CollectionView and Shell, along with interesting concepts such as augmented reality (AR) and machine learning. Starting with an introduction to Xamarin and how it works, this book shares tips for choosing the type of development environment you should strive for when planning cross-platform mobile apps. You'll build your first Xamarin.Forms app and learn how to use Shell to implement the app architecture. The book gradually increases the level of complexity of the projects, guiding you through creating apps ranging from a location tracker and weather map to an AR game and face recognition. As you advance, the book will take you through modern mobile development frameworks such as SQLite, .NET Core Mono, ARKit, and ARCore. You'll be able to customize your apps for both Android and iOS platforms to achieve native-like performance and speed. The book is filled with engaging examples, so you can grasp essential concepts by writing code instead of reading through endless theory. By the end of this book, you'll be ready to develop your own native apps with Xamarin.Forms and its associated technologies, such as .NET Core, Visual Studio 2019, and C#. What you will learn Set up Xamarin.Forms to build native apps with code-sharing capabilities Understand the core aspects of developing a mobile app, such as its layout, UX, and rendering Use custom renderers to gain platform-specific access Discover how to create custom layouts for your apps with Xamarin.Forms Shell Use Azure SignalR to implement serverless services in your Xamarin apps Create an augmented reality (AR) game for Android and iOS using ARCore and ARKit, respectively Build and train machine learning models using CoreML, TensorFlow, and Az...
    Note: Online resource; Title from title page (viewed June 19, 2020) , Mode of access: World Wide Web.
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    Angular for Enterprise-Ready Web Applications - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (824 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Revised and updated second edition of the bestselling hands-on guide to building enterprise-ready web apps using an evergreen Angular platform Key Features Updated examples, projects, and a new overview of tools - including NgRX and Ivy, automated testing, and Firebase authentication New chapter summarizing history of web frameworks and Angular version updates All-new RESTful API implementation leveraging the MEAN stack with MongoDB, Express.js, Angular and Node.js Book Description This second edition of Angular for Enterprise-Ready Web Applications is updated with in-depth coverage of the evergreen Angular platform. You'll start by mastering Angular programming fundamentals. Using the Kanban method and GitHub tools, you'll build great-looking apps with Angular Material and also leverage reactive programming patterns with RxJS, discover the flux pattern with NgRx, become familiar with automated testing, utilize continuous integration using CircleCI, and deploy your app to the cloud using Vercel Now and GCloud. You will then learn how to design and develop line-of-business apps using router-first architecture with observable data anchors, demonstrated through oft-used recipes like master/detail views, and data tables with pagination and forms. Next, you'll discover robust authentication and authorization design demonstrated via integration with Firebase, API documentation using Swagger, and API implementation using the MEAN stack. Finally, you will learn about DevOps using Docker, build a highly available cloud infrastructure on AWS, capture user behavior with Google Analytics, and perform load testing. By the end of the book, you'll be familiar with the entire gamut of modern web development and full-stack architecture, learning patterns and practices to be successful as an individual developer on the web or as a team in the enterprise. What you will learn Adopt a minimalist, value-first approach to delivering web apps Master Angular development fundamentals, RxJS, CLI tools, GitHub, and Docker Discover the flux pattern and NgRx Implement a RESTful APIs using Node.js, Express.js, and MongoDB Create secure and efficient web apps for any cloud provider or your own servers Deploy your app on highly available cloud infrastructure using DevOps, CircleCI, and AWS Who this book is for This book is for developers who want to confidently deliver high-quality and production-grade Angular apps from design to deployment. Developers that have prior experie...
    Note: Online resource; Title from title page (viewed May 29, 2020) , Mode of access: World Wide Web.
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    Unity Certified Programmer : Exam Guide (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (762 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A practical guide to Unity game scripting using C#, backed with practice tests, exam tips, and easy-to-follow examples to help you better prepare for the exam and become a pro in Unity programming Key Features Discover the essentials of game scripting with Unity and C# to customize every aspect of your game Overcome challenges in Unity game development using effective techniques and easy solutions Pass the Unity certification exam with the help of mock tests, exam tips, and self-assessment questions Book Description Unity Certified Programmer is a global certification program by Unity for anyone looking to become a professional Unity developer. The official Unity programmer exam will not only validate your Unity knowledge and skills, but also enable you to be part of the Unity community. This study guide will start by building on your understanding of C# programming and take you through the process of downloading and installing Unity. You'll understand how Unity works and get to grips with the core objectives of the Unity exam. As you advance, you'll enhance your skills by creating an enjoyable side-scrolling shooter game that can be played within the Unity Editor or any recent Android mobile device. This Unity book will test your knowledge with self-assessment questions and help you take your skills to an advanced level by working with Unity tools such as the Animator, Particle Effects, Lighting, UI/UX, Scriptable Objects, and debugging. By the end of this book, you'll have developed a solid understanding of the different tools in Unity and understand how to create impressive Unity applications by making the most of its toolset. What you will learn Discover techniques for writing modular, readable, and reusable scripts in Unity Implement and configure objects, physics, controls, and movements for your game projects Understand 2D and 3D animation and write scripts that interact with Unity's Rendering API Explore Unity APIs for adding lighting, materials, and texture to your apps Write Unity scripts for building interfaces for menu systems, UI navigation, application settings, and much more Delve into SOLID principles for writing clean and maintainable Unity applications Who this book is for The book is for game developers, software developers, mobile app developers, and Unity developers who want to advance in the game or related industry. Basic knowledge of C# programming and Unity engine is required.
    Note: Online resource; Title from title page (viewed June 30, 2020) , Mode of access: World Wide Web.
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    Apache Kafka for Absolute Beginners (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800202054
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Explore the Apache Kafka ecosystem and architecture, and learn client API programming in Java About This Video Get to grips with the Apache Kafka ecosystem and components Delve into Kafka Producer API programming in Java In Detail This course is designed to get you up and running with the fundamentals and the working of Apache Kafka with the help of practical examples. You will also delve into client API programming in Java. As you progress, you will not only cover the Apache Kafka stack, but also the architecture of Kafka components and Kafka client APIs (Producers and Consumers). The course will even guide you on how to apply the knowledge you've gained through the course to create efficient Kafka programs in Java. This course is based on Apache Kafka 2.x. All the source code and examples used in this course on Apache Kafka 2.3 open-source distribution have been tested. Several examples in this course also make use of the Confluent Community Version of Kafka. The course will focus on the Confluent Community Version to explain and demonstrate functionalities that are only available in the Confluent Platform, such as Schema Registry and Avro Serdes. This course will be making extensive use of IntelliJ IDEA as the preferred development IDE. However, based on your prior experience, you should be able to work with any other IDE designed for Java application development. Although the course will be using Apache Maven as the preferred build tool, based on your prior experience, you should be able to use any other build tool designed for Java applications. In addition to this, the course will use Log4j2 to teach you industry-standard log implementation in your applications. This course is fully example-driven and several examples will be created in the class. By the end of this course, you will have gained the skills you need to confidently build Kafka programs in Java.
    Note: Online resource; Title from title screen (viewed April 29, 2020) , Mode of access: World Wide Web.
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    The Complete Flutter and Dart App Development Course (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800563322
    Language: English
    Pages: 1 online resource (1 video file, approximately 21 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Learn Flutter - Google's mobile development framework - and build Flutter iOS and Android apps using a single codebase About This Video Get an introduction to Flutter and understand Flutter app anatomy Design, build, and debug Flutter Android and iOS apps Explore the capabilities of Flutter to build robust apps In Detail The Complete Flutter and Dart App Development Course is the first comprehensive Dart and Flutter course, fully updated to include the latest developments. Flutter is the new cross-platform mobile app development framework created by Google that allows developers to build Android and iOS apps using a single codebase, and it is the best way to develop cross-platform apps, which would otherwise require two distinct mobile development teams. Instead of having to learn Objective-C or Swift to build iOS apps, and Java or Kotlin to build Android apps, you can now use Flutter to build apps that run natively in both iOS and Android devices using the general-purpose programming language Dart. The course begins with an overview of Flutter's capabilities and helps you to download Flutter code and set up development tools for Windows and Mac. It then gives you a comprehensive introduction to Dart and covers the fundamentals and advanced concepts of object-oriented programming (OOP). As you advance, you'll get to grips with Flutter's intermediate concepts and themes. Toward the end, you will build a Flutter tip calculator app and take up quizzes and challenges relating to Flutter widgets and material design. By the end of this course, you'll have gained complete knowledge of Flutter and be able to build both iOS and Android apps like a professional.
    Note: Online resource; Title from title screen (viewed June 30, 2020) , Mode of access: World Wide Web.
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    The Computer Vision Workshop (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800201774
    Language: English
    Pages: 1 online resource (568 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key Features Understand OpenCV and select the right algorithm to solve real-world problems Discover techniques for image and video processing Learn how to apply face recognition in videos to automatically extract key information Book Description Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems. What you will learn Access and manipulate pixels in OpenCV using BGR and grayscale images Create histograms to better understand image content Use contours for shape analysis, object detection, and recognition Track objects in videos using a variety of trackers available in OpenCV Discover how to apply face recognition tasks using computer vision techniques Visualize 3D objects in point clouds and polygon meshes using Open3D Who this book is for If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
    Note: Online resource; Title from title page (viewed July 27, 2020) , Mode of access: World Wide Web.
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    Mastering Kubernetes - Third Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (642 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Go beyond simply learning Kubernetes fundamentals and its deployment, and explore more advanced concepts, including serverless computing and service meshes with the latest updates Key Features Master Kubernetes architecture and design to build and deploy secure distributed applications Learn advanced concepts like autoscaling, cluster federation, serverless computing, and service mesh integration for observability Explore Kubernetes 1.18 features and its rich ecosystem of tools like Kubectl, Knative, and Helm Book Description The third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18's latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms. The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes. As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows. By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional. What you will learn Master the fundamentals of Kubernetes architecture and design Build and run stateful applications and complex microservices on Kubernetes Use tools like Kubectl, secrets, and Helm to manage resources and storage Master Kubernetes Networking with load balancing options like Ingress Achieve high-availability Kubernetes clusters Improve Kubernetes observability with tools like Prometheus, Grafana, and Jaeger Extend Kubernetes working with Kubernetes API, plugins, and webhooks Who this book is for If you are a system administrator or a cloud developer with working knowledge of Kubernetes and are keen to master its advanced features, along with learning everything from building microservices to utilizing service meshes, Mastering Kubernetes is for you. Basic familiarity with networking concepts will be helpful.
    Note: Online resource; Title from title page (viewed June 30, 2020) , Mode of access: World Wide Web.
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    Machine Learning for Algorithmic Trading - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839217715
    Language: English
    Pages: 1 online resource (820 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Key Features Design, train, and evaluate machine learning algorithms that underpin automated trading strategies Create a research and strategy development process to apply predictive modeling to trading decisions Leverage NLP and deep learning to extract tradeable signals from market and alternative data Book Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learn Leverage market, fundamental, and alternative text and image data Research and evaluate alpha factors using statistics, Alphalens, and SHAP values Implement machine learning techniques to solve investment and trading problems Backtest and evaluate trading strategies based on machine learning using Zipline and Backtrader Optimize portfolio risk and performance analysis using pandas, NumPy, and pyfolio Create a pairs trading strategy based on cointegration for US equities and ETFs Train a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quot...
    Note: Online resource; Title from title page (viewed July 31, 2020) , Mode of access: World Wide Web.
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    Learning RSLogix 5000 Programming - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789532463
    Language: English
    Pages: 1 online resource (384 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Get to grips with the Logix platform, Rockwell Automation terminologies, and the online resources available in the Literature Library Key Features Build real-world solutions using ControlLogix, CompactLogix, and RSLogix 5000/Studio 5000 Understand the different controllers and form factors offered by the ControlLogix and CompactLogix platforms Explore the latest changes in the Studio 5000 Automation Engineering and Design software suite Book Description Understanding programmable logic controller (PLC) programming with Rockwell Software's Logix Designer and the Studio 5000 platform, which includes ControlLogix, CompactLogix, and SoftLogix, is key to building robust PLC solutions. RSLogix 5000/Studio 5000's Logix Designer are user-friendly IEC 61131-3-compliant interfaces for programming the current generation of Rockwell Automation Controllers using Ladder Diagram (LD), Function Block Diagram (FBD), Structured Text (ST), and Sequential Function Chart (SFC). This second edition of Learning RSLogix 5000 Programming guides you through the technicalities and comes packed with the latest features of Studio 5000, industrial networking fundamentals, and industrial cybersecurity best practices. You'll go through the essential hardware and software components of Logix, before learning all about the new L8 processor model and the latest Studio 5000 architecture to build effective integrated solutions. Entirely new for this edition, you'll discover a chapter on cybersecurity concepts with RSLogix 5000. The book even gets you hands-on with building a robot bartender control system from start to finish. By the end of this Logix 5000 book, you'll have a clear understanding of the capabilities of the Logix platform and be able to confidently navigate Rockwell Automation Literature Library resources. What you will learn Gain insights into Rockwell Automation and the evolution of the Logix platform Find out the key platform changes in Studio 5000 and Logix Designer Explore a variety of ControlLogix and CompactLogix controllers Understand the Rockwell Automation industrial networking fundamentals Implement cybersecurity best practices using Rockwell Automation technologies Discover the key considerations for engineering a Rockwell Automation solution Who this book is for If you're a PLC programmer, an electrician, an instrumentation technician, or an automation professional with basic PLC programming knowledge, but no knowledge of RSLogix 5000, this RSLogix 500...
    Note: Online resource; Title from title page (viewed July 6, 2020) , Mode of access: World Wide Web.
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    Learn Grafana 7.0 (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838826581
    Language: English
    Pages: 1 online resource (410 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: A comprehensive introduction to help you get up and running with creating interactive dashboards to visualize and monitor time-series data in no time Key Features Install, set up, and configure Grafana for real-time data analysis and visualization Visualize and monitor data using data sources such as InfluxDB, Prometheus, and Elasticsearch Explore Grafana's multi-cloud support with Microsoft Azure, Amazon CloudWatch, and Google Stackdriver Book Description Grafana is an open-source analytical platform used to analyze and monitoring time-series data. This beginner's guide will help you get to grips with Grafana's new features for querying, visualizing, and exploring metrics and logs no matter where they are stored. The book begins by showing you how to install and set up the Grafana server. You'll explore the working mechanism of various components of the Grafana interface along with its security features, and learn how to visualize and monitor data using, InfluxDB, Prometheus, Logstash, and Elasticsearch. This Grafana book covers the advanced features of the Graph panel and shows you how Stat, Table, Bar Gauge, and Text are used. You'll build dynamic dashboards to perform end-to-end analytics and label and organize dashboards into folders to make them easier to find. As you progress, the book delves into the administrative aspects of Grafana by creating alerts, setting permissions for teams, and implementing user authentication. Along with exploring Grafana's multi-cloud monitoring support, you'll also learn about Grafana Loki, which is a backend logger for users running Prometheus and Kubernetes. By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards. What you will learn Find out how to visualize data using Grafana Understand how to work with the major components of the Graph panel Explore mixed data sources, query inspector, and time interval settings Discover advanced dashboard features such as annotations, templating with variables, dashboard linking, and dashboard sharing techniques Connect user authentication to Google, GitHub, and a variety of external services Find out how Grafana can provide monitoring support for cloud service infrastructures Who this book is for This book is for business intelligence developers, business analysts, data analysts, and anyone interested in performing time-series data analysis and monitoring using Grafana. Those looking to create and share interac...
    Note: Online resource; Title from title page (viewed June 25, 2020) , Mode of access: World Wide Web.
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    Node.js API Masterclass with Express and MongoDB (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800569638
    Language: English
    Pages: 1 online resource (1 video file, approximately 12 hr., 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Create a real-world backend for a Bootcamp directory app About This Video Gain proficiency in building an in-depth backend API for DevCamper Work with Node, Express, and MongoDB Create a custom database seeder using JSON files In Detail This course will help you to create an extensive, in-depth backend API for DevCamper, a Bootcamp directory app. You'll learn how to deploy a professional API with documentation from the ground up. The course starts with an overview of the project and an introduction to the HTTP essentials and Postman client. You'll study HTTP status codes and how to send data to the server. The next section of the course will take you through the DevCamper project and show you how to create routes and responses in Express along with creating controller methods. As you make progress, you'll learn how to create, fetch, and update and delete Bootcamps. You'll also get to grips with the concepts of authentication, users, and permissions. By the end of the course, you'll be able to build a real-world backend RESTful API for a Bootcamp directory app and have learned about advanced Mongoose queries.
    Note: Online resource; Title from title screen (viewed June 30, 2020) , Mode of access: World Wide Web.
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    Modern Web Development with ASP.NET Core 3 - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (788 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Explore the tools and techniques to build scalable and secured restful web services and web applications using C# 8 and ASP. NET CORE 3.1 Key Features Delve into MVC patterns, configuration, routing, and deployment to build professional-grade applications Learn how to integrate ASP applications with the JavaScript frameworks React, Vue, and Angular Improve the performance of applications and the development team by implementing advanced ASP.NET Core concepts Book Description ASP.NET has been the preferred choice of web developers for a long time. With ASP.NET Core 3, Microsoft has made internal changes to the framework along with introducing new additions that will change the way you approach web development. This second edition has been thoroughly updated to help you make the most of the latest features in the framework, right from gRPC and conventions to Blazor, which has a new chapter dedicated to it. You'll begin with an overview of the essential topics, exploring the Model-View-Controller (MVC) pattern, various platforms, dependencies, and frameworks. Next, you'll learn how to set up and configure the MVC environment, before delving into advanced routing options. As you advance, you'll get to grips with controllers and actions to process requests, and later understand how to create HTML inputs for models. Moving on, you'll discover the essential aspects of syntax and processes when working with Razor. You'll also get up to speed with client-side development and explore the testing, logging, scalability, and security aspects of ASP.NET Core. Finally, you'll learn how to deploy ASP.NET Core to several environments, such as Azure, Amazon Web Services (AWS), and Docker. By the end of the book, you'll be well versed in development in ASP.NET Core and will have a deep understanding of how to interact with the framework and work cross-platform. What you will learn Understand the new capabilities of ASP.NET Core 3.1 Become well versed in how to configure ASP.NET Core to use it to its full potential Create controllers and action methods, and understand how to maintain state Implement and validate forms and retrieve information from them Improve productivity by enforcing reuse, process forms, and effective security measures Delve into the new Blazor development model Deploy ASP.NET Core applications to new environments, such as Microsoft Azure, AWS, and Docker Who this book is for If you are a developer with basic knowledge of ASP.NET MVC and want ...
    Note: Online resource; Title from title page (viewed June 25, 2020) , Mode of access: World Wide Web.
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    Microsoft 365 Security Administration : MS-500 Exam Guide (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838983123
    Language: English
    Pages: 1 online resource (642 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get up to speed with expert tips and techniques to help you prepare effectively for the MS-500 Exam Key Features Get the right guidance and discover techniques to improve the effectiveness of your studying and prepare for the exam Explore a wide variety of strategies for security and compliance Gain knowledge that can be applied in real-world situations Book Description The Microsoft 365 Security Administration (MS-500) exam is designed to measure your ability to perform technical tasks such as managing, implementing, and monitoring security and compliance solutions for Microsoft 365 environments. This book starts by showing you how to configure and administer identity and access within Microsoft 365. You will learn about hybrid identity, authentication methods, and conditional access policies with Microsoft Intune. Next, the book shows you how RBAC and Azure AD Identity Protection can be used to help you detect risks and secure information in your organization. You will also explore concepts, such as Advanced Threat Protection, Windows Defender ATP, and Threat Intelligence. As you progress, you will learn about additional tools and techniques to configure and manage Microsoft 365, including Azure Information Protection, Data Loss Prevention, and Cloud App Discovery and Security. The book also ensures you are well prepared to take the exam by giving you the opportunity to work through a mock paper, topic summaries, illustrations that briefly review key points, and real-world scenarios. By the end of this Microsoft 365 book, you will be able to apply your skills in the real world, while also being well prepared to achieve Microsoft certification. What you will learn Get up to speed with implementing and managing identity and access Understand how to employ and manage threat protection Get to grips with managing governance and compliance features in Microsoft 365 Explore best practices for effective configuration and deployment Implement and manage information protection Prepare to pass the Microsoft exam and achieve certification with the help of self-assessment questions and a mock exam Who this book is for This Microsoft certification book is designed to help IT professionals, administrators, or anyone looking to pursue a career in security administration by becoming certified with Microsoft's role-based qualification. Those trying to validate their skills and improve their competitive advantage with Microsoft 365 Security Administration will...
    Note: Online resource; Title from title page (viewed June 19, 2020) , Mode of access: World Wide Web.
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    Hands-On WebAssembly for C++ Programmers (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839217753
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Take advantage of the performance and speed of C++ directly in web browsers About This Video This practical guide will take you beyond the simple Hello World stage and you'll soon get up and running with WebAssembly by solving a real-world problem Start off with the basics and rapidly move on to more advanced topics Includes hands-on, practical examples to guide you through the interplay between C++ and WebAssembly and tips and tricks to optimize your application's performance In Detail Due to recent trends, companies are looking to design their applications live on the web. However, it's easy to grow frustrated with JavaScript, which offers limited scope for fine- tuning performance. If you want get ahead of your competitors by working in a language you're comfortable with, one that is designed for speed? WebAssembly is your answer. Starting with first principles; you'll learn is why WebAssembly is so powerful and why C++ is a natural fit. The you'll look at compiling a program for WebAssembly using C++. This course looking provides code examples, rather than slides so that you can really delve into the depths of WebAssembly. Allowing you to go beyond simple toy examples and learn about how real programs compile to WebAssembly. You'll find out that not everything works out right the first time, and it's just as important to learn how to debug and profile your programs. By the end of this course, you will have gained all the skills you need to get a speed advantage over pure JavaScript applications, leaving your competitors behind.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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    Hands-On Natural Language Processing with PyTorch 1.x (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (276 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Become a proficient NLP data scientist by developing deep learning models for NLP and extract valuable insights from structured and unstructured data Key Features Get to grips with word embeddings, semantics, labeling, and high-level word representations using practical examples Learn modern approaches to NLP and explore state-of-the-art NLP models using PyTorch Improve your NLP applications with innovative neural networks such as RNNs, LSTMs, and CNNs Book Description In the internet age, where an increasing volume of text data is generated daily from social media and other platforms, being able to make sense of that data is a crucial skill. With this book, you'll learn how to extract valuable insights from text by building deep learning models for natural language processing (NLP) tasks. Starting by understanding how to install PyTorch and using CUDA to accelerate the processing speed, you'll explore how the NLP architecture works with the help of practical examples. This PyTorch NLP book will guide you through core concepts such as word embeddings, CBOW, and tokenization in PyTorch. You'll then learn techniques for processing textual data and see how deep learning can be used for NLP tasks. The book demonstrates how to implement deep learning and neural network architectures to build models that will allow you to classify and translate text and perform sentiment analysis. Finally, you'll learn how to build advanced NLP models, such as conversational chatbots. By the end of this book, you'll not only have understood the different NLP problems that can be solved using deep learning with PyTorch, but also be able to build models to solve them. What you will learn Use NLP techniques for understanding, processing, and generating text Understand PyTorch, its applications and how it can be used to build deep linguistic models Explore the wide variety of deep learning architectures for NLP Develop the skills you need to process and represent both structured and unstructured NLP data Become well-versed with state-of-the-art technologies and exciting new developments in the NLP domain Create chatbots using attention-based neural networks Who this book is for This PyTorch book is for NLP developers, machine learning and deep learning developers, and anyone interested in building intelligent language applications using both traditional NLP approaches and deep learning architectures. If you're looking to adopt modern NLP techniques and models for your d...
    Note: Online resource; Title from title page (viewed July 9, 2020) , Mode of access: World Wide Web.
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    Learn C Programming (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (646 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get started with writing simple programs in C while learning the skills that will help you work with practically any programming language Key Features Learn essential C concepts such as variables, data structures, functions, loops, and pointers Get to grips with the core programming aspects that form the base of many modern programming languages Explore the expressiveness and versatility of the C language with the help of sample programs Book Description C is a powerful general-purpose programming language that is excellent for beginners to learn. This book will introduce you to computer programming and software development using C. If you're an experienced developer, this book will help you to become familiar with the C programming language. This C programming book takes you through basic programming concepts and shows you how to implement them in C. Throughout the book, you'll create and run programs that make use of one or more C concepts, such as program structure with functions, data types, and conditional statements. You'll also see how to use looping and iteration, arrays, pointers, and strings. As you make progress, you'll cover code documentation, testing and validation methods, basic input/output, and how to write complete programs in C. By the end of the book, you'll have developed basic programming skills in C, that you can apply to other programming languages and will develop a solid foundation for you to advance as a programmer. What you will learn Understand fundamental programming concepts and implement them in C Write working programs with an emphasis on code indentation and readability Break existing programs intentionally and learn how to debug code Adopt good coding practices and develop a clean coding style Explore general programming concepts that are applicable to more advanced projects Discover how you can use building blocks to make more complex and interesting programs Use C Standard Library functions and understand why doing this is desirable Who this book is for This book is written for two very diverse audiences. If you're an absolute beginner who only has basic familiarity with operating a computer, this book will help you learn the most fundamental concepts and practices you need to know to become a successful C programmer. If you're an experienced programmer, you'll find the full range of C syntax as well as common C idioms. You can skim through the explanations and focus primarily on the source code provided.
    Note: Online resource; Title from title page (viewed June 26, 2020) , Mode of access: World Wide Web.
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    Hands-On Simulation Modeling with Python (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (346 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guide Key Features Learn to create a digital prototype of a real model using hands-on examples Evaluate the performance and output of your prototype using simulation modeling techniques Understand various statistical and physical simulations to improve systems using Python Book Description Simulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict their performance in the real world. With this comprehensive guide, you'll understand various computational statistical simulations using Python. Starting with the fundamentals of simulation modeling, you'll understand concepts such as randomness and explore data generating processes, resampling methods, and bootstrapping techniques. You'll then cover key algorithms such as Monte Carlo simulations and Markov decision processes, which are used to develop numerical simulation models, and discover how they can be used to solve real-world problems. As you advance, you'll develop simulation models to help you get accurate results and enhance decision-making processes. Using optimization techniques, you'll learn to modify the performance of a model to improve results and make optimal use of resources. The book will guide you in creating a digital prototype using practical use cases for financial engineering, prototyping project management to improve planning, and simulating physical phenomena using neural networks. By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges. What you will learn Gain an overview of the different types of simulation models Get to grips with the concepts of randomness and data generation process Understand how to work with discrete and continuous distributions Work with Monte Carlo simulations to calculate a definite integral Find out how to simulate random walks using Markov chains Obtain robust estimates of confidence intervals and standard errors of population parameters Discover how to use optimization methods in real-life applications Run efficient simulations to analyze real-world systems Who this book is for Hands-On Simulation Modeling with Python is for simulation developers and engineers, model designers, and anyone already familiar with the basic computational methods that are used t...
    Note: Online resource; Title from title page (viewed July 17, 2020) , Mode of access: World Wide Web.
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    Hands-On Mathematics for Deep Learning (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (364 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key Features Understand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks Learn the mathematical concepts needed to understand how deep learning models function Use deep learning for solving problems related to vision, image, text, and sequence applications Book Description Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models. You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you'll explore CNN, recurrent neural network (RNN), and GAN models and their application. By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL. What you will learn Understand the key mathematical concepts for building neural network models Discover core multivariable calculus concepts Improve the performance of deep learning models using optimization techniques Cover optimization algorithms, from basic stochastic gradient descent (SGD) to the advanced Adam optimizer Understand computational graphs and their importance in DL Explore the backpropagation algorithm to reduce output error Cover DL algorithms such as convolutional neural networks (CNNs), sequence models, and generative adversarial networks (GANs) Who this book is for This book is for data scientists, machine learning developers, aspiring deep learning developers, or anyone who wants to understand the foundation of deep learning by l...
    Note: Online resource; Title from title page (viewed June 12, 2020) , Mode of access: World Wide Web.
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    Hands-On Artificial Intelligence for Banking (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (240 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python Key Features Understand how to obtain financial data via Quandl or internal systems Automate commercial banking using artificial intelligence and Python programs Implement various artificial intelligence models to make personal banking easy Book Description Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI. You'll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you'll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you'll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you'll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you'll get to grips with some real-world AI considerations in the field of banking. By the end of this book, you'll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI. What you will learn Automate commercial bank pricing with reinforcement learning Perform technical analysis using convolutional layers in Keras Use natural language processing (NLP) for predicting market responses and visualizing them using graph databases Deploy a robot advisor to manage your personal finances via Open Bank API Sense market needs using sentiment analysis for algorithmic marketing Explore AI adoption in banking using practical examples Understand how to obtain financial data from commercial, open, and internal sources Who this book is for This is one of the most useful artificial intelligence books for machine learning engineers, data engineers, and data scientists working in the fin...
    Note: Online resource; Title from title page (viewed July 10, 2020) , Mode of access: World Wide Web.
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    Azure for Architects - Third Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (698 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Build and design multiple types of applications that are cross-language, platform, and cost-effective by understanding core Azure principles and foundational concepts Key Features Get familiar with the different design patterns available in Microsoft Azure Develop Azure cloud architecture and a pipeline management system Get to know the security best practices for your Azure deployment Book Description Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions. What you will learn Understand the components of the Azure cloud platform Use cloud design patterns Use enterprise security guidelines for your Azure deployment Design and implement serverless and integration solutions Build efficient data solutions on Azure Understand container services on Azure Who this book is for If you are a cloud architect, DevOps engineer, or a developer looking to learn about the key architectural aspects of the Azure cloud platform, this book is for you. A basic understanding of the Azure cloud platform will help you grasp the concepts covered in this book more effectively.
    Note: Online resource; Title from title page (viewed July 17, 2020) , Mode of access: World Wide Web.
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    Applying Math with Python (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838989750
    Language: English
    Pages: 1 online resource (358 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific libraries Key Features Compute complex mathematical problems using programming logic with the help of step-by-step recipes Learn how to utilize Python's libraries for computation, mathematical modeling, and statistics Discover simple yet effective techniques for solving mathematical equations and apply them in real-world statistics Book Description Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain. The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code. By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science. What you will learn Get familiar with basic packages, tools, and libraries in Python for solving mathematical problems Explore various techniques that will help you to solve computational mathematical problems Understand the core concepts of applied mathematics and how you can apply them in computer science Discover how to choose the most suitable package, tool, or technique to solve a certain problem Implement basic mathematical plotting, change plot styles, and add labels to the plots using Matplotlib Get to grips with probability theory with the Bayesian inference and Markov Chain Mo...
    Note: Online resource; Title from title page (viewed July 31, 2020) , Mode of access: World Wide Web.
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    50 Shades of UX Design (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838822347
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Understand the user in-depth and apply the best UX practice and design principles About This Video This practical course will teach you key skills, from running user workshops all the way to building high-fidelity prototypes This course combines theory and applied principles in a step-by-step way, with plenty of screen shares and live demonstrations of UX tasks This course features many relevant case studies, practical how-to guides, and demonstrations of best-practice principles In Detail Whether your background is in development or design, you will often hear phrases such as 'Oh, this software is easy, the users will have no problem with it, or can you just add some UX to it'. As digital creators; How do we navigate through the often subjective and conflicting input from various stakeholders, into our design work? How can we be certain that our design will be successful with the user? How can you create a good design? This course will immerse you in five core aspects of user experience. You will look at how to understand users better, so you can create better experiences for them. We will get practical, looking at specific tools and methods, as we consider how to collaborate more constructively with others in our organizations. Our conversational style of teaching will help you pick up the basics quickly, without getting bogged down in the theory. The course also offers total flexibility so that, if you want to investigate a particular topic, you can jump straight in at your own pace. By the end of the course, you will be able to decode UX designs and understand what actually excites your customers and what doesn't.
    Note: Online resource; Title from title screen (viewed June 30, 2020) , Mode of access: World Wide Web.
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    40 Algorithms Every Programmer Should Know (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789801217
    Language: English
    Pages: 1 online resource (382 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptography Key Features Learn the techniques you need to know to design algorithms for solving complex problems Become familiar with neural networks and deep learning techniques Explore different types of algorithms and choose the right data structures for their optimal implementation Book Description Algorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works. You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms. What you will learn Explore existing data structures and algorithms found in Python libraries Implement graph algorithms for fraud detection using network analysis Work with machine learning algorithms to cluster similar tweets and process Twitter data in real time Predict the weather using supervised learning algorithms Use neural networks for object detection Create a recommendation engine that suggests relevant movies to subscribers Implement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP) Who this book is for This book is for the serious programmer! Whether you are an experienced programmer looking to gain a deeper u...
    Note: Online resource; Title from title page (viewed June 12, 2020) , Mode of access: World Wide Web.
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    20 Web Projects with Vanilla JavaScript (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800563049
    Language: English
    Pages: 1 online resource (1 video file, approximately 16 hr., 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Build 20 mini frontend projects from scratch with HTML5, CSS, and JavaScript About This Video Gain proficiency in building frontend projects from scratch using HTML 5 Explore different concepts of modern JavaScript (ES6+) such as Arrows and Fetch Create animations using CSS and JavaScript In Detail This course will show you how to design projects with HTML5, CSS, and JavaScript without using additional frameworks or libraries. You'll build every project from scratch and explore dynamic functionalities in each apps ranging from simple games and an expense tracker to a breathing relaxation app. The course starts with an introduction to Project HTML and Project CSS along with a brief on how to check the length, email, and password match. In the next section, you'll build a project for movie seat booking and learn how to save data to local storage and then populate the UI with the saved data. As you advance, you'll work on several other projects such as creating a custom video player, creating an exchange rate calculator, hangman game, and much more! By the end of the course, you'll be able to build your own mini frontend projects from scratch confidently using HTML 5, CSS, and JavaScript.
    Note: Online resource; Title from title screen (viewed June 29, 2020) , Mode of access: World Wide Web.
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    The Complete 2020 Ethereum and Solidity Developer Bootcamp (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800201019
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 27 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Develop a blockchain notary office on Ethereum and learn all about Solidity, Remix, Ganache, Geth, Metamask, and Truffle About This Video Understand the types of blockchains and discover potential use cases for blockchain technology Develop a complete understanding of Ethereum networks and clients (Geth, Parity, and Ganache) Learn how to install Truffle and check out a standard Truffle project In Detail The Complete 2020 Ethereum & Solidity Developer Bootcamp is for anyone who wants to get started with building applications and implementing self-enforcing business logic in smart contracts. This course will help you learn everything there is to know about Solidity and understand the big picture of the blockchain industry with a balance of theory and practical experience. You'll not only learn the fundamentals of Solidity but also get to grips with its safe handling and best practices. This course avoids extensive theory by giving you a direct lab entry where you'll learn by doing. With the help of HD video lessons, this bootcamp will take you through creating, testing, and troubleshooting. You'll then learn how to use smart contracts in different scenarios and browsers. The course demonstrates how a blockchain application is created from scratch, and together with your instructor, you'll develop a blockchain notary office, test it, and deploy it to different networks.
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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    The Data Science Workshop (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (818 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cut through the noise and get real results with a step-by-step approach to data science Key Features Ideal for the data science beginner who is getting started for the first time A data science tutorial with step-by-step exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book Description You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results. Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. What you will learn Find out the key differences between supervised and unsupervised learning Manipulate and analyze data using scikit-learn and pandas libraries Learn about different algorithms such as regression, classification, and clustering Discover advanced techniques to improve model ensembling and accuracy Speed up the process of ...
    Note: Online resource; Title from title page (viewed January 29, 2020) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781838981266/?ar
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    Application Development with Qt Creator (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (426 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Explore Qt Creator, Qt Quick, and QML to design and develop applications that work on desktop, mobile, embedded, and IoT platforms Key Features Build a solid foundation in Qt by learning about its core classes, multithreading, File I/O, and networking Learn GUI programming and build custom interfaces using Qt Widgets, Qt Designer, and QML Use the latest features of C++17 for improving the performance of your Qt applications Book Description Qt is a powerful development framework that serves as a complete toolset for building cross-platform applications, helping you reduce development time and improve productivity. Completely revised and updated to cover C++17 and the latest developments in Qt 5.12, this comprehensive guide is the third edition of Application Development with Qt Creator. You'll start by designing a user interface using Qt Designer and learn how to instantiate custom messages, forms, and dialogues. You'll then understand Qt's support for multithreading, a key tool for making applications responsive, and the use of Qt's Model-View-Controller (MVC) to display data and content. As you advance, you'll learn to draw images on screen using Graphics View Framework and create custom widgets that interoperate with Qt Widgets. This Qt programming book takes you through Qt Creator's latest features, such as Qt Quick Controls 2, enhanced CMake support, a new graphical editor for SCXML, and a model editor. You'll even work with multimedia and sensors using Qt Quick, and finally develop applications for mobile, IoT, and embedded devices using Qt Creator. By the end of this Qt book, you'll be able to create your own cross-platform applications from scratch using Qt Creator and the C++ programming language. What you will learn Create programs from scratch using the Qt framework and C++ language Compile and debug your Qt Quick and C++ applications using Qt Creator Implement map view with your Qt application and display device location on the map Understand how to call Android and iOS native functions from Qt C++ code Localize your application with Qt Linguist Explore various Qt Quick components that provide access to audio and video playbacks Develop GUI applications using both Qt and Qt Quick Who this book is for If you are a beginner looking to harness the power of Qt and the Qt Creator framework for cross-platform development, this book is for you. Although no prior knowledge of Qt and Qt Creator is required, basic knowledge of C++ programmin...
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781789951752/?ar
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    Advanced C++ Programming Cookbook (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838559915
    Language: English
    Pages: 1 online resource (454 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A recipe-based guide to refining your C++ programming skills with the help of coding best practices, advanced programming concepts, and the latest features of C++17 and C++20 Key Features Learn how to develop and design your own libraries Find solutions to your app development problems and implement them in a highly reusable manner, following library development best practices Explore advanced C++ features such as containers, coroutines, and modules Book Description If you think you've mastered C++ and know everything it takes to write robust applications, you'll be in for a surprise. With this book, you'll gain comprehensive insights into C++, covering exclusive tips and interesting techniques to enhance your app development process. You'll kick off with the basic principles of library design and development, which will help you understand how to write reusable and maintainable code. You'll then discover the importance of exception safety, and how you can avoid unexpected errors or bugs in your code. The book will take you through the modern elements of C++, such as move semantics, type deductions, and coroutines. As you advance, you'll delve into template programming - the standard tool for most library developers looking to achieve high code reusability. You'll explore the STL and learn how to avoid common pitfalls while implementing templates. Later, you'll learn about the problems of multithreaded programming such as data races, deadlocks, and thread starvation. You'll also learn high-performance programming by using benchmarking tools and libraries. Finally, you'll discover advanced techniques for debugging and testing to ensure code reliability. By the end of this book, you'll have become an expert at C++ programming and will have gained the skills to solve complex development problems with ease. What you will learn Solve common C++ development problems by implementing solutions in a more generic and reusable way Achieve different levels of exception safety guarantees by introducing precise declarations Write library-quality code that meets professional standards Practice writing reliable, performant code that exposes consistent behavior in programs Understand why you need to implement design patterns and how it's done Work with complex examples to understand various aspects of good library design Who this book is for This book is for intermediate and expert-level C++ developers who are looking to explore the lesser known functionalitie...
    Note: Online resource; Title from title page (viewed January 30, 2020) , Mode of access: World Wide Web.
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    Metasploit Unleashed : Build defense against complex attacks (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789618846
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 54 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Add superior end-to-end security to your network using Metasploit About This Video Gain the skills to carry out penetration testing in complex and highly-secured environments Get equipped with the Metasploit framework, exploit and generate modules for a variety of real-world scenarios Practical guide to understand and implement new useful methods and techniques to make your network robust and resilient In Detail Metasploit is a platform for testing, executing, and exploiting computer systems using a modular framework. It is used to create security testing tools and exploit modules and also as a penetration testing system. In this course, you will use a powerful VM called Metasploitable which is a vulnerable version of Linux for Metasploit. You will begin with setting up of the Metasploit architecture and get familiar with Meterpreter commands, and using these to launch payloads and interact with exploited systems. You will use Metasploit as a vulnerability scanner, leveraging tools such as NMap and Nessus and then work on real-world sophisticated scenarios in which performing penetration tests is a challenge. You will go on a journey through client-side and server-side attacks using Metasploit and various scripts built on the Metasploit framework. Then you will establish foothold on the network by staying hidden, and pivoting to other systems. Finally, you will carry out a cyber attack using Armitage, a GUI-based tool. By the end of the course, you will get well versed with Metasploit modules, exploiting systems, carrying out breaches, as well as building and porting exploits of various kinds in Metasploit. There is something for everyone from the beginner to experienced practitioner looking to broaden their knowledge. No prior knowledge of Metasploit is assumed.
    Note: Online resource; Title from title screen (viewed January 21, 2020) , Mode of access: World Wide Web.
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    Learning Microsoft Azure : A Hands-On Training (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800203921
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Get a firm grip on Microsoft Azure through real-world exercises About This Video Build a solid foundation of cloud concepts and Azure architectural components Learn through Azure real-world example to clear Az-900 exam Explore real-world small projects and practice labs In Detail The primary reason for Microsoft Azure's immense popularity is that it supports a wide range of operating systems, tools, databases, programming languages, and, devices. This course starts off by introducing to you the Microsoft's platform for the cloud. You will then explore Azure web services and storage. In the concluding sections, you will deploy a Windows Azure cloud service and implement advanced cloud service functionalities. By the end of this course, you'll be become skilled enough to confidently operate Microsoft Azure to achieve business objectives. This course can be taken by absolute beginners including candidates with non-technical backgrounds, such as those involved in selling or purchasing cloud-based solutions and services, or who have some involvement with cloud-based solutions and services, as well as those with a technical background who want to brush up their fundamentals around cloud services and Azure
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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    Hands-On Business Intelligence with DAX (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838824303
    Language: English
    Pages: 1 online resource (402 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Implement business intelligence (BI), data modeling, and data analytics within Microsoft products such as Power BI, SQL Server, and Excel Key Features Understand the ins and outs of DAX expressions and querying functions with the help of easy-to-follow examples Manipulate data of varying complexity and optimize BI workflows to extract key insights Create, monitor, and improve the performance of models by writing clean and robust DAX queries Book Description Data Analysis Expressions (DAX) is known for its ability to increase efficiency by extracting new information from data that is already present in your model. With this book, you'll learn to use DAX's functionality and flexibility in the BI and data analytics domains. You'll start by learning the basics of DAX, along with understanding the importance of good data models, and how to write efficient DAX formulas by using variables and formatting styles. You'll then explore how DAX queries work with the help of examples. The book will guide you through optimizing the BI workflow by writing powerful DAX queries. Next, you'll learn to manipulate and load data of varying complexity within Microsoft products such as Power BI, SQL Server, and Excel Power Pivot. You'll then discover how to build and extend your data models to gain additional insights, before covering progressive DAX syntax and functions to understand complex relationships in DAX. Later, you'll focus on important DAX functions, specifically those related to tables, date and time, filtering, and statistics. Finally, you'll delve into advanced topics such as how the formula and storage engines work to optimize queries. By the end of this book, you'll have gained hands-on experience in employing DAX to enhance your data models by extracting new information and gaining deeper insights. What you will learn Understand DAX, from the basics through to advanced topics, and learn to build effective data models Write and use DAX functions and expressions with the help of hands-on examples Discover how to handle errors in your DAX code, and avoid unwanted results Load data into a data model using Power BI, Excel Power Pivot, and SSAS Tabular Cover DAX functions such as date, time, and time intelligence using code examples Gain insights into data by using DAX to create new information Understand the DAX VertiPaq engine and how it can help you optimize data models Who this book is for This book is for data analysts, business analysts, BI developer...
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
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    Full Stack Development with JHipster - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838824983
    Language: English
    Pages: 1 online resource (428 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Written by the core development team of JHipster and fully updated for JHipster 6, Java 11, and Spring Boot 2.1, this book will show you how to build modern web applications with real-world examples and best practices Key Features Build full stack applications with modern JavaScript frameworks such as Angular, React, and Vue.js Explore the JHipster microservices stack, which includes Spring Cloud, Netflix OSS, and the Elastic Stack Learn advanced local and cloud deployment strategies using Docker and Kubernetes Book Description JHipster is an open source development platform that allows you to easily create web apps and microservices from scratch without spending time on wiring and integrating different technologies. Updated to include JHipster 6, Java 11, Spring Boot 2.1, Vue.js, and Istio, this second edition of Full Stack Development with JHipster will help you build full stack applications and microservices seamlessly. You'll start by understanding JHipster and its associated tools, along with the essentials of full stack development, before building a monolithic web app. You'll then learn the JHipster Domain Language (JDL) with entity modeling using JDL-Studio. With this book, you'll create production-ready web apps using Spring Boot, Spring Framework, Angular, and Bootstrap, and run tests and set up continuous integration pipelines with Jenkins. As you advance, you'll learn how to convert your monoliths to microservices and how to package your application for production with various deployment options, including Heroku and Google Cloud. You'll also learn about Docker and Kubernetes, along with an introduction to the Istio service mesh. Finally, you'll build your client-side with React and Vue.js and discover JHipster's best practices. By the end of the book, you'll be able to leverage the best tools available to build modern web apps. What you will learn Create full stack apps from scratch using the latest features of JHipster 6 and Spring Boot 2.1 Build business logic by creating and developing entity models using JDL Understand how to convert a monolithic architecture into a full-fledged microservices architecture Build and package your apps for production using Docker Deploy your application to Google Cloud with Kubernetes Create continuous integration/continuous delivery pipelines with Jenkins Create applications using Angular, React, and Vue.js client-side frameworks Who this book is for This book is for full stack developers who wa...
    Note: Online resource; Title from title page (viewed January 23, 2020) , Mode of access: World Wide Web.
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    Hands-on Building Alexa Skills (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838985660
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 21 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build voice commands for Alexa devices with the Alexa Skills Kit About This Video Engage and captivate your target audience via a strong opening invocation series Build a conversation that works for your business growth goals and your stakeholders' demands Navigate the Alexa Skills Testing and Submission/Approval Process and build Voice UIs In Detail Alexa is the most popular and widely used virtual assistant. Using simple voice commands, you can ask Alexa to find and read the news, play music, order a pizza, or control other smart home devices. The most valuable use of these voice-based apps on top of Alexa, called Alexa Skills, is for business use. There is a risk that many businesses are not taking advantage of Alexa Skills benefits, and are also wondering how and why they can-and should-use Alexa Skills to help drive their business growth. This course introduces the core concepts of voice design and how to program your backend using the Alexa Skills Kit. You will learn Voice User Interface Design principles, and how to build custom voice commands for Alexa devices using the Alexa Skills Kit, Voiceflow, and Node.js. You will explore the Alexa ecosystem and the components that make up custom Alexa skills; learn how to configure the Amazon Developer Portal, and create, code, and deploy it using Voiceflow, Node.js, Lambda functions, and Amazon Web Services. You will discover how to test your skills in the browser and on an actual Alexa device and share them with other Alexa users. You will learn to develop, test, validate, and troubleshooting skills, manage the publishing process, and work with the Alexa developer console. By the end of this course, you will be able to create voice UIs, configure Alexa skill functionality, and test/expand your skills. This course is suitable for developers who want to learn how to master Alexa Skills and use Alexa to build amazing voice UI applications, with real-world commercial benefit. Basic JavaScript and Node.js experience would be beneficial but not necessary.
    Note: Online resource; Title from title screen (viewed January 22, 2020) , Mode of access: World Wide Web.
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    Mastering Machine Learning Algorithms - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (798 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Updated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems Key Features Updated to include new algorithms and techniques Code updated to Python 3.8 & TensorFlow 2.x New coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applications Book Description Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains. You will use all the modern libraries from the Python ecosystem - including NumPy and Keras - to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks. By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios. What you will learn Understand the characteristics of a machine learning algorithm Implement algorithms from supervised, semi-supervised, unsupervised, and RL domains Learn how regression works in time-series analysis and risk prediction Create, model, and train complex probabilistic models Cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work - train, optimize, and validate them Work with autoencoders, Hebbian networks, and GANs Who this book is for This book is for data science professionals who want to delve into complex ML algorithms to understand how various machine learning models can be built. Knowledge of Python programming is required.
    Note: Online resource; Title from title page (viewed January 31, 2020) , Mode of access: World Wide Web.
    URL: https://learning.oreilly.com/library/view/-/9781838820299/?ar
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    The Ultimate HTML Developer 2020 (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800565197
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 41 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Learn HTML and HTML 5 from scratch and get started as a web developer About This Video Develop your skills in creating websites using HTML 5 Learn Advanced HTML concepts such as asset pathing and favicons Work through interesting projects to get hands-on experience in working with HTML In Detail HTML is the structure behind every web page and it's impossible to create a website without using it, including mobile websites and cross-platform compatible HTML 5 applications. This course will guide you through learning HTML 5 effectively in a practical manner, with plenty of examples. You'll begin with an introduction to HTML, before covering different elements, attributes, and doctypes in HTML. Next, you'll get to grips with Internal and Relative links and then go on to understanding the concepts of Block elements and Inline elements. As you progress, you'll gain insights into tables, rows, and cells, and learn how to merge both cells and columns to create an effective page layout. A dedicated section will also focus on Advanced HTML topics, such as Inline CSS and Internal and External CSS files. In addition to this, you'll delve into topics such as meta tags, head elements, favicons, and asset pathing. Finally, the course will help you work through two projects that will give you hands-on experience in working with HTML and designing web pages. By the end of this course, you will be well-versed with HTML and have developed the skills you need to create robust websites.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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    50 Things You've Been Doing Wrong in C# and .NET Core (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    ISBN: 9781789804683
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Avoid common C# mistakes to improve your apps' productivity About This Video Grasp how language constructs, structs, equality, polymorphism, and C# primitives work Master tools such as perfview, windbg, and Visual Studio's debugging capabilities Effectively design reusable apps that obey SOLID principles, properly secure them, and scale them via microservices In Detail Professional software development involves many different skills. As a C# developer, you must be skilled in the C# language and the .NET Core runtime. With this course, you'll take your C# and .NET Core skills to the next level by avoiding common mistakes when coding, using design patterns, developing microservices, persisting your data, securing your application, and even debugging problems. Learning the basics of a language or platform can easily be done by following a course/book and with some hands-on practice. The path to becoming a software developer encounters many edge cases. During this course, you'll learn from my hard-earned experience, garnered from real-life situations, regarding the C# language and .NET platform. You can take this course as a vaccination against future coding infections! By the time you finish this course, you will have developed your skills to "sniff out" coding issues effectively and avoid mistakes. Whatever your issues, the aim of this course is to take you to the 'Bring it on!' point when it comes to solving your .NET and C# problems. Please note that this course assumes familiarity with C#, .NET Core, and ASP.NET Core, together with Visual Studio (2017 or 2019).
    Note: Online resource; Title from title screen (viewed February 11, 2020) , Mode of access: World Wide Web.
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    AWS Certified Security - Specialty (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838550103
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 36 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Enable security as part of your AWS architecture and prepare your response to security events like a security professional. About This Video Covers specialized data classifications, data encryption methods, AWS security services, and mechanisms you can use to implement them and secure your production environment Make security operations and business-risk trade-off decisions with regards to cost, security, and deployment complexity when given a set of application requirements Covers domains including Incident Response, Logging and Monitoring, Infrastructure Security, Identity and Access Management, and Data Protection In Detail The AWS Certified Security - Specialty certification gives AWS architects not only essential know-how, but also a strong foundation on which to build security into AWS architectures at every level. This course will teach you to apply security at all AWS layers, including encrypting and protecting data at rest and in transit and how to prepare for (and respond to) security events. In this course, you'll learn how to secure your data and your AWS services/resources at multiple levels using a defense-in-depth approach. You'll learn how to protect your AWS credentials and resources using Identity and Access Management. You'll capture and analyze logs using CloudTrail, CloudWatch, and Athena. Finally, you'll learn how to implement network and instance security, encrypt data at rest and in transit and set up data backup, replication, and recovery. By the end of this course, you'll be ready to control access to your AWS resources granularly. You will develop the skills to ace the exam for the Security Solutions certification. If you're a cloud professional wanting to ace the AWS Certified Security - Specialty certification, or a cloud professional looking to build security layers into every AWS deployment to protect data at rest and in transit, then this course will be your go-to resource to achieve success.
    Note: Online resource; Title from title screen (viewed January 31, 2020) , Mode of access: World Wide Web.
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    Responsive Web Design with HTML5 and CSS - Third Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (408 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Harness the latest capabilities of HTML5 and CSS to create a single UI that works flawlessly on mobile phones, tablets, and desktops - plus everything in-between Key Features Understand what responsive web design is and its significance for modern web development Explore the latest developments in responsive web design including variable fonts, CSS Scroll Snap, and more Get to grips with the uses and benefits of the new CSS Grid layout Book Description Responsive Web Design with HTML5 and CSS, Third Edition is a renewed and extended version of one of the most comprehensive and bestselling books on the latest HTML5 and CSS tools and techniques for responsive web design. Written in the author's signature friendly and informal style, this edition covers all the newest developments and improvements in responsive web design including better user accessibility, variable fonts and font loading, CSS Scroll Snap, and much, much more. With a new chapter dedicated to CSS Grid, you will understand how it differs from the Flexbox layout mechanism and when you should use one over the other. Furthermore, you will acquire practical knowledge of SVG, writing accessible HTML markup, creating stunning aesthetics and effects with CSS, applying transitions, transformations, and animations, integrating media queries, and more. The book concludes by exploring some exclusive tips and approaches for front-end development from the author. By the end of this book, you will not only have a comprehensive understanding of responsive web design and what is possible with the latest HTML5 and CSS, but also the knowledge of how to best implement each technique. What you will learn Integrate CSS media queries into your designs; apply different styles to different devices Load different sets of images depending upon screen size or resolution Leverage the speed, semantics, and clean markup of accessible HTML patterns Implement SVGs into your designs to provide resolution-independent images Apply the latest features of CSS like custom properties, variable fonts, and CSS Grid Add validation and interface elements like date and color pickers to HTML forms Understand the multitude of ways to enhance interface elements with filters, shadows, animations, and more Who this book is for Are you a full-stack developer who needs to gem up on his front-end skills? Perhaps you work on the front-end and you need a definitive overview of all modern HTML and CSS has to offer? Maybe you have done...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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    Python Image Processing Cookbook (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789537147
    Language: English
    Pages: 1 online resource (438 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore Keras, scikit-image, open source computer vision (OpenCV), Matplotlib, and a wide range of other Python tools and frameworks to solve real-world image processing problems Key Features Discover solutions to complex image processing tasks using Python tools such as scikit-image and Keras Learn popular concepts such as machine learning, deep learning, and neural networks for image processing Explore common and not-so-common challenges faced in image processing Book Description With the advancements in wireless devices and mobile technology, there's increasing demand for people with digital image processing skills in order to extract useful information from the ever-growing volume of images. This book provides comprehensive coverage of the relevant tools and algorithms, and guides you through analysis and visualization for image processing. With the help of over 60 cutting-edge recipes, you'll address common challenges in image processing and learn how to perform complex tasks such as object detection, image segmentation, and image reconstruction using large hybrid datasets. Dedicated sections will also take you through implementing various image enhancement and image restoration techniques, such as cartooning, gradient blending, and sparse dictionary learning. As you advance, you'll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions, this book will help you apply deep learning techniques such as transfer learning and fine-tuning to solve real-world problems. By the end of this book, you'll be proficient in utilizing the capabilities of the Python ecosystem to implement various image processing techniques effectively. What you will learn Implement supervised and unsupervised machine learning algorithms for image processing Use deep neural network models for advanced image processing tasks Perform image classification, object detection, and face recognition Apply image segmentation and registration techniques on medical images to assist doctors Use classical image processing and deep learning methods for image restoration Implement text detection in images using Tesseract, the optical character recognition (OCR) engine Understand image enhancement techniques such as gradient blending Who this book is for This book is for image processing engineers, computer vision engineers, software developers, machine learning engineers, or anyone who wants to become well-versed with image processing...
    Note: Online resource; Title from title page (viewed April 17, 2020) , Mode of access: World Wide Web.
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    Practical Mobile Forensics - Fourth Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 4th edition
    Keywords: Electronic books ; local
    Abstract: Become well-versed with forensics for the Android, iOS, and Windows 10 mobile platforms by learning essential techniques and exploring real-life scenarios Key Features Apply advanced forensic techniques to recover deleted data from mobile devices Retrieve and analyze data stored not only on mobile devices but also on the cloud and other connected mediums Use the power of mobile forensics on popular mobile platforms by exploring different tips, tricks, and techniques Book Description Mobile phone forensics is the science of retrieving data from a mobile phone under forensically sound conditions. This updated fourth edition of Practical Mobile Forensics delves into the concepts of mobile forensics and its importance in today's world. The book focuses on teaching you the latest forensic techniques to investigate mobile devices across various mobile platforms. You will learn forensic techniques for multiple OS versions, including iOS 11 to iOS 13, Android 8 to Android 10, and Windows 10. The book then takes you through the latest open source and commercial mobile forensic tools, enabling you to analyze and retrieve data effectively. From inspecting the device and retrieving data from the cloud, through to successfully documenting reports of your investigations, you'll explore new techniques while building on your practical knowledge. Toward the end, you will understand the reverse engineering of applications and ways to identify malware. Finally, the book guides you through parsing popular third-party applications, including Facebook and WhatsApp. By the end of this book, you will be proficient in various mobile forensic techniques to analyze and extract data from mobile devices with the help of open source solutions. What you will learn Discover new data extraction, data recovery, and reverse engineering techniques in mobile forensics Understand iOS, Windows, and Android security mechanisms Identify sensitive files on every mobile platform Extract data from iOS, Android, and Windows platforms Understand malware analysis, reverse engineering, and data analysis of mobile devices Explore various data recovery techniques on all three mobile platforms Who this book is for This book is for forensic examiners with basic experience in mobile forensics or open source solutions for mobile forensics. Computer security professionals, researchers or anyone looking to gain a deeper understanding of mobile internals will also find this book useful. Some underst...
    Note: Online resource; Title from title page (viewed April 9, 2020) , Mode of access: World Wide Web.
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    Network Automation Cookbook (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (482 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Take your network automation skills to the next level with practical recipes on managing network devices from a variety of vendors like Cisco, Juniper, and Arista Key Features Use Ansible to automate network infrastructure with the help of step-by-step instructions Implement network automation best practices to save cost, avoid critical errors, and reduce downtime Deliver a robust automation framework by integrating Ansible with NAPALM, NetBox, and Batfish Book Description Network Automation Cookbook is designed to help system administrators, network engineers, and infrastructure automation engineers to centrally manage switches, routers, and other devices in their organization's network. This book will help you gain hands-on experience in automating enterprise networks and take you through core network automation techniques using the latest version of Ansible and Python. With the help of practical recipes, you'll learn how to build a network infrastructure that can be easily managed and updated as it scales through a large number of devices. You'll also cover topics related to security automation and get to grips with essential techniques to maintain network robustness. As you make progress, the book will show you how to automate networks on public cloud providers such as AWS, Google Cloud Platform, and Azure. Finally, you will get up and running with Ansible 2.9 and discover troubleshooting techniques and network automation best practices. By the end of this book, you'll be able to use Ansible to automate modern network devices and integrate third-party tools such as NAPALM, NetBox, and Batfish easily to build robust network automation solutions. What you will learn Understand the various components of Ansible Automate network resources in AWS, GCP, and Azure cloud solutions Use IaC concepts to design and build network solutions Automate network devices such as Cisco, Juniper, Arista, and F5 Use NetBox to build network inventory and integrate it with Ansible Validate networks using Ansible and Batfish Who this book is for This Ansible network automation book is for network and DevOps engineers interested in automating complex network tasks. Prior understanding of networking and basic Linux knowledge is required.
    Note: Online resource; Title from title page (viewed April 17, 2020) , Mode of access: World Wide Web.
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    Modern Computer Architecture and Organization (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838984397
    Language: English
    Pages: 1 online resource (560 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: A no-nonsense, practical guide to current and future processor and computer architectures, enabling you to design computer systems and develop better software applications across a variety of domains Key Features Understand digital circuitry with the help of transistors, logic gates, and sequential logic Examine the architecture and instruction sets of x86, x64, ARM, and RISC-V processors Explore the architecture of modern devices such as the iPhone X and high-performance gaming PCs Book Description Are you a software developer, systems designer, or computer architecture student looking for a methodical introduction to digital device architectures but overwhelmed by their complexity? This book will help you to learn how modern computer systems work, from the lowest level of transistor switching to the macro view of collaborating multiprocessor servers. You'll gain unique insights into the internal behavior of processors that execute the code developed in high-level languages and enable you to design more efficient and scalable software systems. The book will teach you the fundamentals of computer systems including transistors, logic gates, sequential logic, and instruction operations. 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 how to write a quantum computing program and run it on an actual quantum computer. By the end of this book, you will have a thorough understanding of modern processor and computer architectures and the future directions these architectures are likely to take. What you will learn Get to grips with transistor technology and digital circuit principles Discover the functional elements of computer processors Understand pipelining and superscalar execution Work with floating-point data formats Understand the purpose and operation of the supervisor mode Implement a complete RISC-V processor in a low-cost FPGA Explore the techniques used in virtual machine implementation Write a quantum computing program and run it on a quantum computer Who this book is for This book is for software developers, computer engineering students, system designers, reverse engineers, and anyone looking to understand the architecture and design principles underlying modern computer systems from tiny embedded devices to warehouse-size cloud server farms. A general understanding of computer processors is he...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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    Master ASP.NET Core 3.1 Razor Pages (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800568068
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build efficient applications in ASP.NET using Razor Pages About This Video Learn the basic structure and security of ASP.NET Core 3.1 Project Build a CRUD operations application with Entity Framework (EF) using Razor Pages Integrate Entity Framework with Code First Migrations In Detail This course will give you an in-depth understanding of ASP.NET Core 3.1 using Razor Pages, starting from the basics to the advanced-level concepts. Throughout the course, you'll build multiple projects to understand and explore ASP.NET Core 3.1. In the first project, the course will take you through building a CRUD Operations application with EF and Razor Pages. Next, you'll build an auto shop website, where the admin can add service records and the customers can view service history. As you explore the latest framework introduced by Microsoft, you'll get to grips with authentication and authorization in the .NET framework. You'll learn how to tag helpers while creating a page link and create a service Razor Page using the car service view model. Toward the end of the course, you'll get hands-on experience of data seeding and deploying to Azure, and cover third-party hosting.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
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    Machine Learning Projects with TensorFlow 2.0 (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838980252
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build and train models for real-world machine learning projects using Tensorflow 2.0 About This Video Make use of the amazing new feature of TensorFlow 2 called 'Eager Execution' which makes it easier to learn and use Upgrade your skills by building real-world Machine Learning projects Build, test and deploy different ML models and learn more modern techniques such as Reinforcement Learning and Transfer Learning In Detail TensorFlow is the world's most widely adopted framework for Machine Learning and Deep Learning. TensorFlow 2.0 is a major milestone due to its inclusion of some major changes making TensorFlow easier to learn and use such as "Eager Execution". It will support more platforms and languages, improved compatibility and remove deprecated APIs. This course will guide you to upgrade your skills in Machine Learning by practically applying them by building real-world Machine Learning projects. Each section should cover a specific project on a Machine Learning task and you will learn how to implement it into your system using TensorFlow 2. You will implement various Machine Learning techniques and algorithms using the TensorFlow 2 library. Each project will put your skills to test, help you understand and overcome the challenges you can face in a real-world scenario and provide some tips and tricks to help you become more efficient. Throughout the course, you will cover the new features of TensorFlow 2 such as Eager Execution. You will cover at least 3-4 projects. You will also cover some tasks such as Reinforcement Learning and Transfer Learning. By the end of the course, you will be confident to build your own Machine Learning Systems with TensorFlow 2 and will be able to add this valuable skill to your CV.
    Note: Online resource; Title from title screen (viewed April 29, 2020) , Mode of access: World Wide Web.
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    Mastering Computer Vision with TensorFlow 2.x (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838827069
    Language: English
    Pages: 1 online resource (430 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key Features Gain a fundamental understanding of advanced computer vision and neural network models in use today Cover tasks such as low-level vision, image classification, and object detection Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkit Book Description Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks. What you will learn Explore methods of feature extraction and image retrieval and visualize different layers of the neural network model Use TensorFlow for various visual search methods for real-world scenarios Build neural networks or adjust parameters to optimize the performance of models Understand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpainting Evaluate your model and optimize and integrate it into your application to operate at scale Get up to speed with techniques for performing manual and automated image annotation Who this book is for This book is for computer vision professionals, image processing professionals, machine le...
    Note: Online resource; Title from title page (viewed May 15, 2020) , Mode of access: World Wide Web.
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    Mastering Adobe Photoshop Elements 2020 - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (544 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: An example-driven guide to take your image editing skills from beginner to advanced using powerful Photoshop Elements tools and techniques in tandem with Adobe's latest AI technology Key Features Updated to the latest version of Photoshop Elements 2020 with focused coverage on Adobe's latest AI technology Organize, search, and keep track of an ever-increasing number of images and videos using expert practices Discover common solutions to a wide range of photographic and image-editing problems Book Description Adobe Photoshop Elements is a raster graphics editor for entry-level photographers, image editors, and hobbyists. Updated and improved to cover the latest features of Photoshop Elements 2020, this second edition includes focused coverage of Adobe's new AI-powered features that are designed to make the editing process more efficient, creative and fun. This book takes you through the complexities of image editing in easy-to-follow, bite-sized chunks, helping you to quickly recognize the editing challenge at hand and use suitable tools and techniques to overcome it. You'll start by learning how to import, organize, manage, edit, and use your pictures in a format that's designed for creative photography projects. Throughout this Adobe Photoshop Elements book, you'll discover how to fix different photographic problems using an extensive repertoire of commonly applied solutions. Common processes such as applying artistic effects to creative projects, custom image makeovers, processing images for social media, and other file export methods will also be covered. By the end of this book, you'll have learned about the impressive tools available in Photoshop Elements 2020, and how it is designed not only for photographers who'd like to dip their toes into the editing world, but also for those wanting simple but effective ideas on how to expand their creativity while remaining time-efficient. What you will learn Explore the automatic AI-powered features designed to make the editing process faster and more efficient Add graphic elements to any composition, photograph, or illustration Overcome challenges in editing multi-layered images for your photography projects Develop illustrative skills using Photoshop Elements' drawing tools Learn techniques for professional photo retouching Work with online and local templates to create calendars, greeting cards, and other projects Who this book is for This book is for creative and enthusiastic photographers wi...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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    Mastering Azure Machine Learning (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
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    Language: English
    Pages: 1 online resource (394 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes Key Features Make sense of data on the cloud by implementing advanced analytics Train and optimize advanced deep learning models efficiently on Spark using Azure Databricks Deploy machine learning models for batch and real-time scoring with Azure Kubernetes Service (AKS) Book Description The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud. The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure ML and takes you through the process of data experimentation, data preparation, and feature engineering using Azure ML and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure AutoML and HyperDrive, and perform distributed training on Azure ML. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure ML, along with the basics of MLOps-DevOps for ML to automate your ML process as CI/CD pipeline. By the end of this book, you'll have mastered Azure ML and be able to confidently design, build and operate scalable ML pipelines in Azure. What you will learn Setup your Azure ML workspace for data experimentation and visualization Perform ETL, data preparation, and feature extraction using Azure best practices Implement advanced feature extraction using NLP and word embeddings Train gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure ML Use hyperparameter tuning and AutoML to optimize your ML models Employ distributed ML on GPU clusters using Horovod in Azure ML Deploy, operate and manage your ML models at scale Automated your end-to-end ML process as CI/CD pipelines for MLOps Who this book is for This machine learning book is for data professionals, data analysts, data enginee...
    Note: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
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    Interactive Data Visualization with Python - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (362 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key Features Study and use Python interactive libraries, such as Bokeh and Plotly Explore different visualization principles and understand when to use which one Create interactive data visualizations with real-world data Book Description With so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python. You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model. By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories. What you will learn Explore and apply different interactive data visualization techniques Manipulate plotting parameters and styles to create appealing plots Customize data visualization for different audiences Design data visualizations using interactive libraries Use Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plots Customize data visualization for different scenarios Who this book is for This book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using l...
    Note: Online resource; Title from title page (viewed April 14, 2020) , Mode of access: World Wide Web.
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    Introduction to 3D Character Animation in Unreal Engine 4 (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800565708
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build a stunning cinematic 3D animation scene from start to finish in Unreal Engine 4 About This Video Explore the Exile Alien character, along with 28 motion capture animations Focus on Genesis 2 Male and Female characters Delve into setting up a scene, complete with sci-fi spaceship interiors In Detail Unreal Engine 4 (UE4) has emerged as a leading resource in the creation of games, animations, television shows, and illustrations. This course will help you animate your character in UE4 easily. It features all the required scene files and even makes it easy for you to just drag and drop your character in the scene to make it ready to go. The course will take you through the essential steps that need to be taken for the character to be able to accept motion capture animations in Mixamo and then get imported into Unreal Engine. Even though Mixamo discontinued direct support for Unreal Engine, the following method works by exporting standard FBX from Mixamo to UE4 - You'll upload your character to Adobe Mixamo and add motion capture animations. All you need to do is click on the animated preview and it will be applied to your character. As you hit play, the animation begins, being rendered in real-time. You can adjust the speed of the animation and other aspects too. As your character will not already have its materials or textures applied, you'll be able to do that in UE4. You'll find 28 animated aliens, ready for you to drag and drop into your Unreal Engine scene for instant animations. Next, you'll work with the Unreal Engine Sequencer, which is similar to a non-linear editor. You will set up your scene, complete with spaceship interiors, Exile Alien characters, lights, smoke effects, and cameras, and get it ready for animation. As you progress, you will export your movie in high definition in real-time. No longer will it take hours or days to render a single frame; it will be entirely possible to complete even a 2-hour feature film in 120 days using UE4. Toward the end, you will take your rendered video file and bring it to HitFilm Express, or your favorite video editing program, where you will add color grading, music, and sound effects, and fine-tune your edits to prepare the scene for final output. By the end of this course, you will have completed your own animation scene, and have a solid understanding of Unreal Engine's animation workflow.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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    Hands-On Python Deep Learning for the Web (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (404 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Use the power of deep learning with Python to build and deploy intelligent web applications Key Features Create next-generation intelligent web applications using Python libraries such as Flask and Django Implement deep learning algorithms and techniques for performing smart web automation Integrate neural network architectures to create powerful full-stack web applications Book Description When used effectively, deep learning techniques can help you develop intelligent web apps. In this book, you'll cover the latest tools and technological practices that are being used to implement deep learning in web development using Python. Starting with the fundamentals of machine learning, you'll focus on DL and the basics of neural networks, including common variants such as convolutional neural networks (CNNs). You'll learn how to integrate them into websites with the frontends of different standard web tech stacks. The book then helps you gain practical experience of developing a deep learning-enabled web app using Python libraries such as Django and Flask by creating RESTful APIs for custom models. Later, you'll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, you'll learn how to use Microsoft's intelligent Emotion API, which can detect a person's emotions through a picture of their face. You'll also get to grips with deploying real-world websites, in addition to learning how to secure websites using reCAPTCHA and Cloudflare. Finally, you'll use NLP to integrate a voice UX through Dialogflow on your web pages. By the end of this book, you'll have learned how to deploy intelligent web apps and websites with the help of effective tools and practices. What you will learn Explore deep learning models and implement them in your browser Design a smart web-based client using Django and Flask Work with different Python-based APIs for performing deep learning tasks Implement popular neural network models with TensorFlow.js Design and build deep web services on the cloud using deep learning Get familiar with the standard workflow of taking deep learning models into production Who this book is for This deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. You will also find this book useful if you're a web developer who wants to implement smart te...
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    Hands-On App Development with Ionic (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789619904
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: This hands-on course teaches you to build reactive, scalable, and dynamic cross-platform apps using Ionic 4 and 5 About This Video Build performant, persistent, reactive, and scalable cross-platform apps using the Ionic 4 and 5 framework Develop apps that use a single codebase and work on mobile platforms Android, iOS, and also the web using native APIs and in-device storage Follow industry best practices and use MobX with Ionic (via device storage) to build a scalable architecture In Detail While Ionic is an easy and straightforward framework to learn, building Ionic apps can sometimes be hard. Designing its architecture and making sure that your application is high-performing, dynamic, and scalable are always tricky. In this course, you will develop a feature-rich Notes app in a step-by-step process using the Ionic framework. You will be using web components, persistent storage, and APIs to ensure your app is high-performing. You'll use the MobX reactive state management tool to make your apps scalable. You'll then use a SQLite database to persist data onto your device. With the Ionic Native Camera API, you'll add, save pictures to your notes then edit and save them, set reminders in your notes, and have your device notify you of events using Ionic Native local notifications. You will deploy your app across iOS and Android devices and also on the web. By the end of the course, you will have taken your Ionic 4 and 5 skills to the next level and will be equipped to build cross-platform hybrid mobile apps.
    Note: Online resource; Title from title screen (viewed May 6, 2020) , Mode of access: World Wide Web.
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    Expert C++ (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838552657
    Language: English
    Pages: 1 online resource (606 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Design and architect real-world scalable C++ applications by exploring advanced techniques in low-level programming, object-oriented programming (OOP), the Standard Template Library (STL), metaprogramming, and concurrency Key Features Design professional-grade, maintainable apps by learning advanced concepts such as functional programming, templates, and networking Apply design patterns and best practices to solve real-world problems Improve the performance of your projects by designing concurrent data structures and algorithms Book Description C++ has evolved over the years and the latest release - C++20 - is now available. Since C++11, C++ has been constantly enhancing the language feature set. With the new version, you'll explore an array of features such as concepts, modules, ranges, and coroutines. This book will be your guide to learning the intricacies of the language, techniques, C++ tools, and the new features introduced in C++20, while also helping you apply these when building modern and resilient software. You'll start by exploring the latest features of C++, and then move on to advanced techniques such as multithreading, concurrency, debugging, monitoring, and high-performance programming. The book will delve into object-oriented programming principles and the C++ Standard Template Library, and even show you how to create custom templates. After this, you'll learn about different approaches such as test-driven development (TDD), behavior-driven development (BDD), and domain-driven design (DDD), before taking a look at the coding best practices and design patterns essential for building professional-grade applications. Toward the end of the book, you will gain useful insights into the recent C++ advancements in AI and machine learning. By the end of this C++ programming book, you'll have gained expertise in real-world application development, including the process of designing complex software. What you will learn Understand memory management and low-level programming in C++ to write secure and stable applications Discover the latest C++20 features such as modules, concepts, ranges, and coroutines Understand debugging and testing techniques and reduce issues in your programs Design and implement GUI applications using Qt5 Use multithreading and concurrency to make your programs run faster Develop high-end games by using the object-oriented capabilities of C++ Explore AI and machine learning concepts with C++ Who this book is for Th...
    Note: Online resource; Title from title page (viewed April 10, 2020) , Mode of access: World Wide Web.
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    Git Essentials : Become a Git and GitHub Ninja (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800565630
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Understand how to use Git and GitHub confidently by learning the daily Git workflow About This Video Explore how Git and GitHub work, along with their important aspects Learn how to manage files, commits, and branches Create custom branches and discover how to manage pull requests In Detail This course is designed to guide you through working with Git and GitHub. You will start by learning how to install Git on Windows, Mac, and Linux and then understand how to use it on the command line. Next, you'll get to grips with configuring Git on a computer and creating, cloning and adding files to a GitHub repository. The videos will also guide you through creating custom branches and tags, opening and managing GitHub issues, and opening and managing pull requests. All along, the course follows a practical approach, ensuring that you work through plenty of real-life examples. This will give you hands-on experience in building your own repositories, forking the repo, and even safely opening a pull request on your work. Everything you'll learn about Git and GitHub in this course is completely transferable to GitLab and Bitbucket. By the end of this course, you'll be well-versed with Git and GitHub fundamentals, and have the skills you need to work through open source projects.
    Note: Online resource; Title from title screen (viewed April 29, 2020) , Mode of access: World Wide Web.
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    Flutter Projects (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838647773
    Language: English
    Pages: 1 online resource (490 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn Flutter and the Dart programming language by building impressive real-world mobile applications for Android and iOS Key Features Learn cross-platform mobile development with Flutter and Dart by building 11 real-world apps Create wide array of mobile projects such as 2D game, productivity timer, movie browsing app, and more Practical projects demonstrating Flutter development techniques with tips, tricks, and best practices Book Description Flutter is a modern reactive mobile framework that removes a lot of the complexity found in building native mobile apps for iOS and Android. With Flutter, developers can now build fast and native mobile apps from a single codebase. This book is packed with 11 projects that will help you build your own mobile applications using Flutter. It begins with an introduction to Dart programming and explains how it can be used with the Flutter SDK to customize mobile apps. Each chapter contains instructions on how to build an independent app from scratch, and each project focuses on important Flutter features.From building Flutter Widgets and applying animations to using databases (SQLite and sembast) and Firebase, you'll build on your knowledge through the chapters. As you progress, you'll learn how to connect to remote services, integrate maps, and even use Flare to create apps and games in Flutter. Gradually, you'll be able to create apps and games that are ready to be published on the Google Play Store and the App Store. In the concluding chapters, you'll learn how to use the BLoC pattern and various best practices related to creating enterprise apps with Flutter. By the end of this book, you will have the skills you need to write and deliver fully functional mobile apps using Flutter. What you will learn Design reusable mobile architectures that can be applied to apps at any scale Get up to speed with error handling and debugging for mobile application development Apply the principle of 'composition over inheritance' to break down complex problems into many simple problems Update your code and see the results immediately using Flutter's hot reload Identify and prevent bugs from reappearing with Flutter's developer tools Manage an app's state with Streams and the BLoC pattern Build a simple web application using Flutter Web Who this book is for This book is for mobile developers and software developers who want to learn Flutter to build state-of-the-art mobile apps. Although prior experience with Dart progra...
    Note: Online resource; Title from title page (viewed April 7, 2020) , Mode of access: World Wide Web.
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    Embedded Programming with Modern C++ Cookbook (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (412 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Explore various constraints and challenges that embedded developers encounter in their daily tasks and learn how to build effective programs using the latest standards of C++ Key Features Get hands-on experience in developing a sample application for an embedded Linux-based system Explore advanced topics such as concurrency, real-time operating system (RTOS), and C++ utilities Learn how to test and debug your embedded applications using logs and profiling tools Book Description Developing applications for embedded systems may seem like a daunting task as developers face challenges related to limited memory, high power consumption, and maintaining real-time responses. This book is a collection of practical examples to explain how to develop applications for embedded boards and overcome the challenges that you may encounter while developing. The book will start with an introduction to embedded systems and how to set up the development environment. By teaching you to build your first embedded application, the book will help you progress from the basics to more complex concepts, such as debugging, logging, and profiling. Moving ahead, you will learn how to use specialized memory and custom allocators. From here, you will delve into recipes that will teach you how to work with the C++ memory model, atomic variables, and synchronization. The book will then take you through recipes on inter-process communication, data serialization, and timers. Finally, you will cover topics such as error handling and guidelines for real-time systems and safety-critical systems. By the end of this book, you will have become proficient in building robust and secure embedded applications with C++. What you will learn Get to grips with the fundamentals of an embedded system Understand how to optimize code for the targeted hardware platforms Explore cross-compilation, build types, and remote debugging Discover the importance of logging for debugging and root cause analysis of failures Uncover concepts such as interrupt service routine, memory model, and ring buffer Recognize the need for custom memory management in embedded systems Delve into static code analyzers and tools to improve code quality Who this book is for This book is for developers, electronic hardware professionals, and software and system-on-chip engineers who want to build effective embedded programs in C++. Familiarity with the C++ programming language is expected, but no previous knowledge of embedded ...
    Note: Online resource; Title from title page (viewed April 17, 2020) , Mode of access: World Wide Web.
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    Browser Automation with Python and Selenium (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800560161
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Fast, scalable, and professional-grade user interface automation principles About This Video Get up to speed with setting up Python with a virtual environment Understand how to add a web driver to your PATH environment variable Become well-versed with handling browser windows and tabs In Detail Python is one of the most popular languages in the world and its demand is only growing with each passing day. As Selenium is an industry-standard for test automation, Python's readability makes the two a perfect match for writing valuable automated tests. Browser automation is in high demand as software testing costs rise and the software industry expands. Unfortunately, engineers interested in automation have little in the form of concrete guidance on how to be successful, or what properly written automation code even looks like. In this course, you'll explore how learning can be interactive by understanding the fundamentals of browser automation using the Python language with Selenium. It will prepare you for any interview for entry-level browser automation, while helping you enhance your professional portfolio with the right skills. You will first focus on setting up your environment. Progressing through the sections, you'll go on to understand the basics of browser automation. Later, the course will help you get hands-on with building robust applications that scrape web data. By the end of this course, you will be well-versed with performing browser automation using Python and Selenium.
    Note: Online resource; Title from title screen (viewed May 28, 2020) , Mode of access: World Wide Web.
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    Unity 2020 Virtual Reality Projects - Third Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839217333
    Language: English
    Pages: 1 online resource (592 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Explore the latest features of Unity and build VR experiences including first-person interactions, audio fireball games, 360-degree media, art gallery tours, and VR storytelling Key Features Discover step-by-step instructions and best practices to begin your VR development journey Explore Unity features such as URP rendering, XR Interaction Toolkit, and ProBuilder Build impressive VR-based apps and games that can be experienced using modern devices like Oculus Rift and Oculus Quest Book Description This third edition of the Unity Virtual Reality (VR) development guide is updated to cover the latest features of Unity 2019.4 or later versions - the leading platform for building VR games, applications, and immersive experiences for contemporary VR devices. Enhanced with more focus on growing components, such as Universal Render Pipeline (URP), extended reality (XR) plugins, the XR Interaction Toolkit package, and the latest VR devices, this edition will help you to get up to date with the current state of VR. With its practical and project-based approach, this book covers the specifics of virtual reality development in Unity. You'll learn how to build VR apps that can be experienced with modern devices from Oculus, VIVE, and others. This virtual reality book presents lighting and rendering strategies to help you build cutting-edge graphics, and explains URP and rendering concepts that will enable you to achieve realism for your apps. You'll build real-world VR experiences using world space user interface canvases, locomotion and teleportation, 360-degree media, and timeline animation, as well as learn about important VR development concepts, best practices, and performance optimization and user experience strategies. By the end of this Unity book, you'll be fully equipped to use Unity to develop rich, interactive virtual reality experiences. What you will learn Understand the current state of virtual reality and VR consumer products Get started with Unity by building a simple diorama scene using Unity Editor and imported assets Configure your Unity VR projects to run on VR platforms such as Oculus, SteamVR, and Windows immersive MR Design and build a VR storytelling animation with a soundtrack and timelines Implement an audio fireball game using game physics and particle systems Use various software patterns to design Unity events and interactable components Discover best practices for lighting, rendering, and post-processing Who this book is for...
    Note: Online resource; Title from title page (viewed July 30, 2020) , Mode of access: World Wide Web.
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    The Unsupervised Learning Workshop (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800200708
    Language: English
    Pages: 1 online resource (550 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learning how to apply unsupervised algorithms on unlabeled datasets from scratch can be easier than you thought with this beginner's workshop, featuring interesting examples and activities Key Features Get familiar with the ecosystem of unsupervised algorithms Learn interesting methods to simplify large amounts of unorganized data Tackle real-world challenges, such as estimating the population density of a geographical area Book Description Do you find it difficult to understand how popular companies like WhatsApp and Amazon find valuable insights from large amounts of unorganized data? The Unsupervised Learning Workshop will give you the confidence to deal with cluttered and unlabeled datasets, using unsupervised algorithms in an easy and interactive manner. The book starts by introducing the most popular clustering algorithms of unsupervised learning. You'll find out how hierarchical clustering differs from k-means, along with understanding how to apply DBSCAN to highly complex and noisy data. Moving ahead, you'll use autoencoders for efficient data encoding. As you progress, you'll use t-SNE models to extract high-dimensional information into a lower dimension for better visualization, in addition to working with topic modeling for implementing natural language processing (NLP). In later chapters, you'll find key relationships between customers and businesses using Market Basket Analysis, before going on to use Hotspot Analysis for estimating the population density of an area. By the end of this book, you'll be equipped with the skills you need to apply unsupervised algorithms on cluttered datasets to find useful patterns and insights. What you will learn Distinguish between hierarchical clustering and the k-means algorithm Understand the process of finding clusters in data Grasp interesting techniques to reduce the size of data Use autoencoders to decode data Extract text from a large collection of documents using topic modeling Create a bag-of-words model using the CountVectorizer Who this book is for If you are a data scientist who is just getting started and want to learn how to implement machine learning algorithms to build predictive models, then this book is for you. To expedite the learning process, a solid understanding of the Python programming language is recommended, as you'll be editing classes and functions instead of creating them from scratch.
    Note: Online resource; Title from title page (viewed July 29, 2020) , Mode of access: World Wide Web.
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    The Deep Learning with PyTorch Workshop (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838989217
    Language: English
    Pages: 1 online resource (330 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Get a head start in the world of AI and deep learning by developing your skills with PyTorch Key Features Learn how to define your own network architecture in deep learning Implement helpful methods to create and train a model using PyTorch syntax Discover how intelligent applications using features like image recognition and speech recognition really process your data Book Description Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you're starting from scratch. It's no surprise that deep learning's popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you'll use PyTorch to understand the complexity of neural network architectures. The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You'll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you'll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues. By the end of this book, you'll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps. What you will learn Explore the different applications of deep learning Understand the PyTorch approach to building neural networks Create and train your very own perceptron using PyTorch Solve regression problems using artificial neural networks (ANNs) Handle computer vision problems with convolutional neural networks (CNNs) Perform language translation tasks using recurrent neural networks (RNNs) Who this book is for This deep learning book is ideal for anyone who wants to create and train deep learning models using PyTorch. A solid understanding of the Python programming language and its packages will help you grasp the topics covered in the book more quickly.
    Note: Online resource; Title from title page (viewed July 22, 2020) , Mode of access: World Wide Web.
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    The Deep Learning with Keras Workshop (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800562967
    Language: English
    Pages: 1 online resource (496 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning models Key Features Get to grips with various model evaluation metrics, including sensitivity, specificity, and AUC scores Explore advanced concepts such as sequential memory and sequential modeling Reinforce your skills with real-world development, screencasts, and knowledge checks Book Description New experiences can be intimidating, but not this one! This beginner's guide to deep learning is here to help you explore deep learning from scratch with Keras, and be on your way to training your first ever neural networks. What sets Keras apart from other deep learning frameworks is its simplicity. With over two hundred thousand users, Keras has a stronger adoption in industry and the research community than any other deep learning framework. The Deep Learning with Keras Workshop starts by introducing you to the fundamental concepts of machine learning using the scikit-learn package. After learning how to perform the linear transformations that are necessary for building neural networks, you'll build your first neural network with the Keras library. As you advance, you'll learn how to build multi-layer neural networks and recognize when your model is underfitting or overfitting to the training data. With the help of practical exercises, you'll learn to use cross-validation techniques to evaluate your models and then choose the optimal hyperparameters to fine-tune their performance. Finally, you'll explore recurrent neural networks and learn how to train them to predict values in sequential data. By the end of this book, you'll have developed the skills you need to confidently train your own neural network models. What you will learn Gain insights into the fundamentals of neural networks Understand the limitations of machine learning and how it differs from deep learning Build image classifiers with convolutional neural networks Evaluate, tweak, and improve your models with techniques such as cross-validation Create prediction models to detect data patterns and make predictions Improve model accuracy with L1, L2, and dropout regularization Who this book is for If you know the basics of data science and machine learning and want to get started with advanced machine learning technologies like artificial neural networks and deep learning, then this is the book for you. To grasp the concepts explained in this deep learnin...
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    The Applied TensorFlow and Keras Workshop (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800201217
    Language: English
    Pages: 1 online resource (174 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Cut through the noise and get real results with this workshop for beginners. Use a project-based approach to exploring machine learning with TensorFlow and Keras. Key Features Understand the nuances of setting up a deep learning programming environment Gain insights into the common components of a neural network and its essential operations Get to grips with deploying a machine learning model as an interactive web application with Flask Book Description Machine learning gives computers the ability to learn like humans. It is becoming increasingly transformational to businesses in many forms, and a key skill to learn to prepare for the future digital economy. As a beginner, you'll unlock a world of opportunities by learning the techniques you need to contribute to the domains of machine learning, deep learning, and modern data analysis using the latest cutting-edge tools. The Applied TensorFlow and Keras Workshop begins by showing you how neural networks work. After you've understood the basics, you will train a few networks by altering their hyperparameters. To build on your skills, you'll learn how to select the most appropriate model to solve the problem in hand. While tackling advanced concepts, you'll discover how to assemble a deep learning system by bringing together all the essential elements necessary for building a basic deep learning system - data, model, and prediction. Finally, you'll explore ways to evaluate the performance of your model, and improve it using techniques such as model evaluation and hyperparameter optimization. By the end of this book, you'll have learned how to build a Bitcoin app that predicts future prices, and be able to build your own models for other projects. What you will learn Familiarize yourself with the components of a neural network Understand the different types of problems that can be solved using neural networks Explore different ways to select the right architecture for your model Make predictions with a trained model using TensorBoard Discover the components of Keras and ways to leverage its features in your model Explore how you can deal with new data by learning ways to retrain your model Who this book is for If you are a data scientist or a machine learning and deep learning enthusiast, who is looking to design, train, and deploy TensorFlow and Keras models into real-world applications, then this workshop is for you. Knowledge of computer science and machine learning concepts and experience in ...
    Note: Online resource; Title from title page (viewed July 30, 2020) , Mode of access: World Wide Web.
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    SwiftUI iOS13 Coffee Shop Application, Order Products Online (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800563070
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Build a coffee shop application for iOS using Xcode 11, SwiftUI, iOS 13, Firebase Firestore, and Swift 5 About This Video Learn how to write clean and readable code Build a professional iOS application Explore SwiftUI In Detail In this course, you'll build a real online coffee ordering application using SwiftUI. This course is for iOS developers who know their way around Xcode and are familiar with Swift, SwiftUI, and application development. You'll learn how to build an application from the ground up alongside the instructor using all the assets provided. The course explains every line of code and shows you how to write clean and readable code and structure your app development in such a way that even if you get back to your code in a few years, you'll be able to read and understand it clearly. Even if you are an experienced iOS developer, you'll learn something new in this course.
    Note: Online resource; Title from title screen (viewed July 27, 2020) , Mode of access: World Wide Web.
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    Raspberry Pi Computer Vision Programming - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (306 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Perform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications Key Features Explore the potential of computer vision with Raspberry Pi and Python programming Perform computer vision tasks such as image processing and manipulation using OpenCV and Raspberry Pi Discover easy-to-follow examples and screenshots to implement popular computer vision techniques and applications Book Description Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects. At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision. By the end of this book, you'll be able to confidently build and deploy computer vision apps. What you will learn Set up a Raspberry Pi for computer vision applications Perform basic image processing with libraries such as NumPy, Matplotlib, and OpenCV Demonstrate arithmetical, logical, and other operations on images Work with a USB webcam and the Raspberry Pi Camera Module Implement low-pass and high-pass filters and understand their applications in image processing Cover advanced techniques such as histogram equalization and morphological transformations Create GUI apps with Python 3 and OpenCV Perform machine learning with K-means clustering and image quantization Who this book is for This book is...
    Note: Online resource; Title from title page (viewed June 29, 2020) , Mode of access: World Wide Web.
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    Practical Data Analysis Using Jupyter Notebook (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (322 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key Features Find out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to answer questions and add value using data Perform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing data Book Description Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This book combines these two concepts by sharing proven techniques and hands-on examples so that you can learn how to communicate effectively using data. After introducing you to the basics of data analysis using Jupyter Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to clean, wrangle, analyze, and visualize data to gain useful insights, and you'll discover how to answer questions using data with easy-to-follow steps. Later chapters teach you about storytelling with data using charts, such as histograms and scatter plots. As you advance, you'll understand how to work with unstructured data using natural language processing (NLP) techniques to perform sentiment analysis. All the knowledge you gain will help you discover key patterns and trends in data using real-world examples. In addition to this, you will learn how to handle data of varying complexity to perform efficient data analysis using modern Python libraries. By the end of this book, you'll have gained the practical skills you need to analyze data with confidence. What you will learn Understand the importance of data literacy and how to communicate effectively using data Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis Wrangle data and create DataFrames using pandas Produce charts and data visualizations using time-series datasets Discover relationships and how to join data together using SQL Use NLP techniques to work with unstructured data to create sentiment analysis models Discover patterns in real-world datasets that provide accurate insights Who this book is for This book is for aspiring data analysts and data scientists looking for hands-on tutorials and real-world examples to understand data ...
    Note: Online resource; Title from title page (viewed June 19, 2020) , Mode of access: World Wide Web.
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    Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781789959161
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Get to grips with TensorFlow 2.0 and scikit-learn About This Video Embark on your ML journey using the best machine learning practices and the powerful features of TensorFlow 2.0 and scikit-learn Learn to work with unstructured data, images, and noisy text input, and implement the latest Natural Language Processing models and methods Explore supervised and unsupervised algorithms and put them into practice using mini implementation projects as a basis for real-world applications In Detail Have you been looking for a course that teaches you effective machine learning in scikit-learn and TensorFlow 2.0? Or have you always wanted an efficient and skilled working knowledge of how to solve problems that can't be explicitly programmed through the latest machine learning techniques? If you're familiar with pandas and NumPy, this course will give you up-to-date and detailed knowledge of all practical machine learning methods, which you can use to tackle most tasks that cannot easily be explicitly programmed; you'll also be able to use algorithms that learn and make predictions or decisions based on data. The theory will be underpinned with plenty of practical examples, and code example walk-throughs in Jupyter notebooks. The course aims to make you highly efficient at constructing algorithms and models that perform with the highest possible accuracy based on the success output or hypothesis you've defined for a given task. By the end of this course, you will be able to comfortably solve an array of industry-based machine learning problems by training, optimizing, and deploying models into production. Being able to do this effectively will allow you to create successful prediction and decisions for the task in hand (for example, creating an algorithm to read a labeled dataset of handwritten digits).
    Note: Online resource; Title from title screen (viewed June 30, 2020) , Mode of access: World Wide Web.
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  • 97
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    Node.js Web Development - Fifth Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838987572
    Language: English
    Pages: 1 online resource (760 pages)
    Edition: 5th edition
    Keywords: Electronic books ; local
    Abstract: Build scalable web applications using Node.js, Express.js, and the latest ECMAScript techniques, along with deploying applications with AWS and Docker with this updated fifth edition Key Features Learn backend web programming with the JavaScript stack Explore best practices, right from configuring and building web servers to deploying them on a production cloud hosting system: AWS using Docker and Terraform Work through the different stages of developing robust and scalable apps using Node.js 14 Book Description Node.js is the leading choice of server-side web development platform, enabling developers to use the same tools and paradigms for both server-side and client-side software. This updated fifth edition of Node.js Web Development focuses on the new features of Node.js 14, Express 4.x, and ECMAScript, taking you through modern concepts, techniques, and best practices for using Node.js. The book starts by helping you get to grips with the concepts of building server-side web apps with Node.js. You'll learn how to develop a complete Node.js web app, with a backend database tier to help you explore several databases. You'll deploy the app to real web servers, including a cloud hosting platform built on AWS EC2 using Terraform and Docker Swarm, while integrating other tools such as Redis and NGINX. As you advance, you'll learn about unit and functional testing, along with deploying test infrastructure using Docker. Finally, you'll discover how to harden Node.js app security, use Let's Encrypt to provision the HTTPS service, and implement several forms of app security with the help of expert practices. With each chapter, the book will help you put your knowledge into practice throughout the entire life cycle of developing a web app. By the end of this Node.js book, you'll have gained practical Node.js web development knowledge and be able to build and deploy your own apps on a public web hosting solution. What you will learn Install and use Node.js 14 and Express 4.17 for both web development and deployment Implement RESTful web services using the Restify framework Develop, test, and deploy microservices using Docker, Docker Swarm, and Node.js, on AWS EC2 using Terraform Get up to speed with using data storage engines such as MySQL, SQLite3, and MongoDB Test your web applications using unit testing with Mocha, and headless browser testing with Puppeteer Implement HTTPS using Let's Encrypt and enhance application security with Helmet Who this b...
    Note: Online resource; Title from title page (viewed July 31, 2020) , Mode of access: World Wide Web.
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  • 98
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    Multi-Paradigm Programming with Modern C++ (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781839212864
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Write clean, fast, concurrent code with key features of C++ 14,17, and now 20. About This Video Acquire knowledge of not only the features of modern C++ but also some of the best programming practices. Get a grasp of all the key features of C++2a, including modules, concepts, task blocks, transactional memory, ranges, coroutines, and more, in a single course. A practical guide to advance your skills along with new features of the latest C++ versions (14, 17, and 20) for creating better software with ease. In Detail C++ is a multi-paradigm language that lets you solve a problem in different ways, and this course will teach you the best practices. Furthermore, C++ has been re-invented again. C++2a is the largest extension to the language since C++11, and it almost feels like a new language. Developers who master the new features will be able to write cleaner, faster and concurrent code. In this course, you will learn about the best practices of C++ programming, including project structure, designing interfaces and classes, C++ Core Guidelines, and the most recent language standard. The new features are numerous and cover almost every area of the language: modules let us organize our programs better; concepts help us create cleaner APIs; ranges forever change how we look at containers; concurrency features, such as coroutines, bring parallel and concurrent programming to a whole new level. You will get plenty of practical experience with short, real-world code examples. By the end of this course, you will be ready to create better software using C++.
    Note: Online resource; Title from title screen (viewed June 23, 2020) , Mode of access: World Wide Web.
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  • 99
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    Mastering Windows Presentation Foundation - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838643416
    Language: English
    Pages: 1 online resource (626 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: Gain the expertise you need to build custom application frameworks and responsive and visually appealing user interfaces with WPF, C#, and .NET Key Features Discover a smarter way of working with WPF using the MVVM software architectural pattern Create your own lightweight application framework to build your future applications upon Understand data binding and learn how to use it in an application Book Description Microsoft Windows Presentation Foundation (WPF) provides several libraries and APIs for developers to create engaging user experiences. This book features a wide range of simple through to complex examples to demonstrate how to develop enterprise-grade applications for Windows desktop with WPF. This updated second edition of Mastering Windows Presentation Foundation starts by covering the benefits of using the Model-View-ViewModel (MVVM) software architectural pattern with WPF, before guiding you through debugging your WPF apps. The book will then take you through the application architecture and building the foundation layer for your apps. As you advance, you'll get to grips with data binding, explore the various built-in WPF controls, and customize them to suit your requirements. You'll learn how to create custom controls to meet your needs when the built-in functionality is not enough. You'll also learn how to enhance your applications using practical animations, stunning visuals, and responsive data validation. To ensure that your app is not only interactive but also efficient, you'll focus on improving application performance, and finally, discover the different methods for deploying your applications. By the end of this book, you'll be proficient in using WPF for developing efficient yet robust user interfaces. What you will learn Discover MVVM and how it assists development with WPF Implement your own custom application framework Become proficient with Data Binding Understand how to adapt the built-in controls Get up to speed with animations Implement responsive data validation Create visually appealing user interfaces Improve application performance Learn how to deploy your applications Who this book is for This Windows book is for developers with basic to intermediate-level knowledge of Windows Presentation Foundation and for those interested in simply enhancing their WPF skills. If you're looking to learn more about application architecture and designing user interfaces in a visually appealing manner, you'll find this book ...
    Note: Online resource; Title from title page (viewed March 30, 2020) , Mode of access: World Wide Web.
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  • 100
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    Mastering JMeter 5.0 (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838640880
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: A comprehensive guide to automating performance measurement for your website and web applications using JMeter 5.0 About This Video Provides in-depth knowledge of the advanced features of JMeter including assertions, controllers, and validations Learn to integrate JMeter with web testing tools such as Selenium to extend web testing capabilities and measure web application performance Use the latest version of the JMeter tool for test monitoring and reports In Detail JMeter has become an industry-standard tool for conducting functional, load, performance, and regression tests on web applications. It scales web development by helping you measure and analyze application performance. In this course, you'll learn to invoke key features of the latest version of this testing tool to achieve peak performance for your web applications, all the while improving the testing team's productivity by developing realistic and scalable test plans and automation. You'll start by mastering assertion types and scripts. Then you'll immerse yourself in the world of logic controllers and apply them to scripting. You'll get to grips with samplers, which help you send a request to the web server. You'll learn advanced scripting, work with test controllers, design test plans, and much more. By the end of this course, you will be able to use JMeter 5.0 for performance and load testing.
    Note: Online resource; Title from title screen (viewed June 30, 2020) , Mode of access: World Wide Web.
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