Programowanie

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E-BOOK

Adobe AIR dla programistów JavaScript. Leksykon kieszonkowy

Mike Chambers, Daniel Dura, Kevin Hoyt, Dragos...

Poznaj moc nowoczesnej technologii AIR w tworzeniu funkcjonalnych aplikacji internetowych! Jak skonfigurować środowisko programistyczne w AIR? Jak zaimplementować funkcje? Jak utworzyć aplikację AIR, wykorzystując HTML i JavaScript? Adobe AIR to nowe międzyplatformowe środowisko wykonawcze, które pozwala programistom na wykorzystanie znanych technologii, takich jak HTML i JavaScript, do tworzenia rozbudowanych aplikacji internetowych. AIR oferuje bogaty zbiór wywołań API, a także ścisłą integrację z pulpitem, co umożliwia łączenie potęgi zasobów lokalnych z dostępem do internetu. O atrakcyjności Adobe AIR świadczą więc zarówno zasięg i łatwość programowania (najlepsze cechy modelu WWW), jak i funkcjonalność oraz bogactwo modelu pulpitowego. Książka "Adobe AIR dla programistów JavaScript. Leksykon kieszonkowy" stanowi wprowadzenie do tworzenia aplikacji Adobe AIR z wykorzystaniem języków HTML i JavaScript. Leksykon zawiera przegląd mechanizmów wykonawczych HTML i JavaScript w Adobe AIR oraz wyjaśnia, jak uzyskać dostęp do funkcji i interfejsów Adobe AIR z poziomu JavaScript. Znajdziesz tu wszelkie porady i wskazówki niezbędne do tego, by skonfigurować środowisko programistyczne, stworzyć, przetestować i wdrożyć atrakcyjną oraz funkcjonalną aplikację WWW.

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Adobe Edge Quickstart Guide. Quickly produce engaging motion and rich interactivity with Adobe Edge Preview 4 and above with this book and

Joseph Labrecque

With the advent of HTML5 and CSS3, web designers can now create sophisticated animations without the need of additional plugins such as Flash. However, there hasn't been an easy way for creating animations with web standards until now. This book enables even those with little knowledge of HTML or programming web content to freely create a variety of rich compositions involving motion and interactivity.Learning Adobe Edge will quickly get you up and running with this professional authoring software to create highly engaging content which targets HTML5, CSS, and JavaScript. Content created in Adobe Edge does not rely on a plugin ñ so it can be run within any standard browserñ even on mobile.Learning Adobe Edge begins with an overview of the shifting web landscape and the Edge application. We then move on through the variety of panels and toolsets available, and explore the many options we have when creating motion and interactivity using Edge.The book presents the reasoning behind engaging, standards-based web content and how Edge fills the need for professional tooling in this area. In the book we'll examine content creation and how to achieve fluid animation and advanced transitioning through the Edge timeline. Sprinkled throughout the book are tips and references for those coming to Edge from a background in Flash Professional. Whether you are coming to Edge from Flash Professional or are totally new to motion graphics on the web, Adobe Edge Quickstart Guide provides a solid foundation of motion and interactivity concepts and techniques along with a set of demo assets to build upon.

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Adopting .NET 5. Understand modern architectures, migration best practices, and the new features in .NET 5

Hammad Arif, Habib Qureshi

.NET 5 is the unification of all .NET technologies in a single framework that can run on all platforms and provide a consistent experience to developers, regardless of the device, operating system (OS), or cloud platform they choose.By updating to .NET 5, you can build software that can quickly adapt to the rapidly changing demands of modern consumers and stay up to date on the latest technology trends in .NET.This book provides a comprehensive overview of all the technologies that will form the future landscape of .NET using practical examples based on real-world scenarios, along with best practices to help you migrate from legacy platforms.You’ll start by learning about Microsoft’s vision and rationale for the unification of the platforms. Then, you’ll cover all the new language enhancements in C# 9. As you advance, you’ll find out how you can align yourself with modern technology trends, focusing on everything from microservices to orchestrated containerized deployments. Finally, you’ll learn how to effectively integrate machine learning in .NET code.By the end of this .NET book, you’ll have gained a thorough understanding of the .NET 5 platform, together with a readiness to adapt to future .NET release cycles, and you’ll be able to make architectural decisions about porting legacy systems and code bases to a newer platform.

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Advanced C++. Master the technique of confidently writing robust C++ code

Gazihan Alankus , Olena Lizina , Rakesh...

C++ is one of the most widely used programming languages and is applied in a variety of domains, right from gaming to graphical user interface (GUI) programming and even operating systems. If you're looking to expand your career opportunities, mastering the advanced features of C++ is key.The book begins with advanced C++ concepts by helping you decipher the sophisticated C++ type system and understand how various stages of compilation convert source code to object code. You'll then learn how to recognize the tools that need to be used in order to control the flow of execution, capture data, and pass data around. By creating small models, you'll even discover how to use advanced lambdas and captures and express common API design patterns in C++. As you cover later chapters, you'll explore ways to optimize your code by learning about memory alignment, cache access, and the time a program takes to run. The concluding chapter will help you to maximize performance by understanding modern CPU branch prediction and how to make your code cache-friendly.By the end of this book, you'll have developed programming skills that will set you apart from other C++ programmers.

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Advanced C++ Programming Cookbook. Become an expert C++ programmer by mastering concepts like templates, concurrency, and type deduction

Dr. Rian Quinn

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.

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Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

Ivan Vasilev

In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles.By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world.

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Advanced Deep Learning with TensorFlow 2 and Keras. Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more - Second Edition

Rowel Atienza

Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects.Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques.Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduces more cutting-edge techniques as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You will then learn about GANs, and how they can unlock new levels of AI performance.Next, you’ll discover how a variational autoencoder (VAE) is implemented, and how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans. You'll also learn to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI.

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Advanced Distributed Scrum. A concise guide to building and leading remote and hybrid Scrum Teams

Kelley O'Connell, Darren Wilmshurst, Lindy Quick

The COVID-19 pandemic altered the way teams work, turning remote work into a common practice for Agile teams that were originally founded to be co-located, leaving teams to grapple with remote and hybrid setups. The Agile mindset, however, remains the standard for effective teamwork, and this book integrates distributed work into your Agile and Scrum Values. Advanced Distributed Scrum will guide you in harnessing the talents of global team members and overcoming the challenges of working across geographies.Renowned Agile coach and educator Kelley O’Connell distills 25+ years of experience into this concise guide. The book begins by establishing the foundational principles of distributed Scrum, highlighting the unique roles and responsibilities within hybrid and remote environments. You’ll gain insights into the challenges faced by distributed Agile teams and explore how to cultivate a strong remote team culture, improve communication, and effectively manage conflicts in a virtual space. Finally, you'll put remote Scrum practices into action to maximize the outcomes you're aiming for.By the end of this book, you’ll be equipped to lead and nurture high-performing distributed teams, facilitate remote ceremonies, implement remote-friendly CI/CD pipelines, and create team norms that drive engagement.