C++ Hacker's Guide
An experienced programmer accumulates a set of tools, tricks, and techniques to make his or her programs better. C++ Hacker's Guide collects more than 120 of the best C++ veteran secrets and puts them in one accessible place. The techniques presented have all been used in actual programs, and more importantly, have made actual programs better. Full of real world, highly useful information, this book offers a career's worth of knowledge to round out any C++ programmer's repertoire. Topics include strategies to make code more memory safe, debuggable, efficient, and maintainable. This book contains a collection of hacks born out of over forty years of programming experience. Here you'll find all sorts of hacks to make your programs more reliable, more readable, and easier to debug. In the true hacker tradition, this is the result of observing what works and how it works, improving the system, and then passing the information on. ...
An experienced programmer accumulates a set of tools, tricks, and techniques to make his or her programs better. C++ Hacker's Guide collects more than 120 of the best C++ veteran secrets and puts them in one accessible place. The techniques presented have all been used in actual programs, and more importantly, have made actual programs better. Full of real world, highly useful information, this book offers a career's worth of knowledge to round out any C++ programmer's repertoire. Topics include strategies to make code more memory safe, debuggable, efficient, and maintainable. This book contains a collection of hacks born out of over forty years of programming experience. Here you'll find all sorts of hacks to make your programs more reliable, more readable, and easier to debug. In the true hacker tradition, this is the result of observing what works and how it works, improving the system, and then passing the information on. ...
Generative AI with Python and TensorFlow 2
In recent years, generative artificial intelligence has been instrumental in the creation of lifelike data (images, speech, video, music, and text) from scratch. In this book you will unpack how these powerful models are created from relatively simple building blocks, and how you might adapt these models to your own use cases. You will begin by setting up clean containerized environments for Python and getting to grips with the fundamentals of deep neural networks, learning about core concepts like the perceptron, activation functions, backpropagation, and how they all tie together. Once you have covered the basics, you will explore deep generative models in depth, including OpenAI's GPT-series of news generators, networks for style transfer and deepfakes, and synergy with reinforcement learning. As you progress, you will focus on abstractions where useful, and understand the "nuts and bolts" of how the models are composed in code, underpinned by detailed architecture diagrams. T ...
In recent years, generative artificial intelligence has been instrumental in the creation of lifelike data (images, speech, video, music, and text) from scratch. In this book you will unpack how these powerful models are created from relatively simple building blocks, and how you might adapt these models to your own use cases. You will begin by setting up clean containerized environments for Python and getting to grips with the fundamentals of deep neural networks, learning about core concepts like the perceptron, activation functions, backpropagation, and how they all tie together. Once you have covered the basics, you will explore deep generative models in depth, including OpenAI's GPT-series of news generators, networks for style transfer and deepfakes, and synergy with reinforcement learning. As you progress, you will focus on abstractions where useful, and understand the "nuts and bolts" of how the models are composed in code, underpinned by detailed architecture diagrams. T ...
Mastering TypeScript, 4th Edition
TypeScript is both a language and a set of tools to generate JavaScript. It was designed by Anders Hejlsberg at Microsoft to help developers write enterprise-scale JavaScript. Using a fast-paced, but easy-to-follow set of code samples, this fourth edition will get you up and running with Typescript quickly, introduce core concepts, and then build on this knowledge to help you understand and then apply more advanced language features. Mastering TypeScript, 4th Edition also covers a variety of modern JavaScript and TypeScript frameworks and compares their respective strengths and weaknesses. As you advance through this TypeScript book, you'll explore Angular, React, Vue, RxJs, Express, NodeJS, and others. You'll get up to speed with unit and integration testing, data transformation, serverless technologies, and asynchronous programming. You'll also learn how to integrate with existing JavaScript libraries, control your compiler options, and use decorators and generics. By the en ...
TypeScript is both a language and a set of tools to generate JavaScript. It was designed by Anders Hejlsberg at Microsoft to help developers write enterprise-scale JavaScript. Using a fast-paced, but easy-to-follow set of code samples, this fourth edition will get you up and running with Typescript quickly, introduce core concepts, and then build on this knowledge to help you understand and then apply more advanced language features. Mastering TypeScript, 4th Edition also covers a variety of modern JavaScript and TypeScript frameworks and compares their respective strengths and weaknesses. As you advance through this TypeScript book, you'll explore Angular, React, Vue, RxJs, Express, NodeJS, and others. You'll get up to speed with unit and integration testing, data transformation, serverless technologies, and asynchronous programming. You'll also learn how to integrate with existing JavaScript libraries, control your compiler options, and use decorators and generics. By the en ...
Quantum Computing with Silq Programming
Quantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q# and Qiskit, Silq is a high-level programming language that can be viewed as the C++ of quantum computers! Quantum Computing with Silq Programming helps you explore Silq and its intuitive and simple syntax to enable you to describe complex tasks with less code. This book will help you get to grips with the constructs of the Silq and show you how to write quantum programs with it. You'll learn how to use Silq to program quantum algorithms to solve existing and complex tasks. Using quantum algorithms, you'll also gain practical experience in useful applications such as quantum error correction, cryp ...
Quantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q# and Qiskit, Silq is a high-level programming language that can be viewed as the C++ of quantum computers! Quantum Computing with Silq Programming helps you explore Silq and its intuitive and simple syntax to enable you to describe complex tasks with less code. This book will help you get to grips with the constructs of the Silq and show you how to write quantum programs with it. You'll learn how to use Silq to program quantum algorithms to solve existing and complex tasks. Using quantum algorithms, you'll also gain practical experience in useful applications such as quantum error correction, cryp ...
Clever Algorithms
This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language. ...
This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language. ...
Deep Reinforcement Learning in Unity
Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity. This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshes in Unity, setting up the ML Agents Toolkit (including how to install and set up ML agents from the GitHub repository), and installing fundamental machine learning libraries and frameworks (such as Tensorflow). You will learn about: deep learning and work through an introduction to Tensorflow for writing neural networks (including perceptron, convolution, and LSTM networks), Q learning with Unity ML agents, and porting trained neural network models in Unity through the Python-C# API. You will also explore the OpenAI Gym Environment used throughout the book. Deep Reinforcement ...
Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity. This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshes in Unity, setting up the ML Agents Toolkit (including how to install and set up ML agents from the GitHub repository), and installing fundamental machine learning libraries and frameworks (such as Tensorflow). You will learn about: deep learning and work through an introduction to Tensorflow for writing neural networks (including perceptron, convolution, and LSTM networks), Q learning with Unity ML agents, and porting trained neural network models in Unity through the Python-C# API. You will also explore the OpenAI Gym Environment used throughout the book. Deep Reinforcement ...
Developing Web Components with TypeScript
Create professional and progressive web apps with the native HTML API on the latest technology stack. This book describes the basics of web components and how to create them using plain JavaScript as well as how to make professional applications based on web components using TypeScript. Developing Web Components with TypeScript looks at APIs using examples, techniques, and tricks. You will start with a brief introduction to web components, including slots and templates, handling custom events, and styling components with or without shadow DOM. Then, it introduces TypeScript as part of the tool set. It shows the internal construction of a professional thin library. It also helps you learn how to deal with web components in real-life projects; this includes techniques such as creating a single-page app without framework code. All code samples used here are supported by all modern browsers for you to follow along. ...
Create professional and progressive web apps with the native HTML API on the latest technology stack. This book describes the basics of web components and how to create them using plain JavaScript as well as how to make professional applications based on web components using TypeScript. Developing Web Components with TypeScript looks at APIs using examples, techniques, and tricks. You will start with a brief introduction to web components, including slots and templates, handling custom events, and styling components with or without shadow DOM. Then, it introduces TypeScript as part of the tool set. It shows the internal construction of a professional thin library. It also helps you learn how to deal with web components in real-life projects; this includes techniques such as creating a single-page app without framework code. All code samples used here are supported by all modern browsers for you to follow along. ...
PicoLisp Works
PicoLisp Works is a compilation of (almost) all available information about the technological gem PicoLisp - a programming language and environment that definitely deserves wider attention. Built on the unique characteristics of Lisp (almost no syntax, code is equivalent to data), PicoLisp combines powerful abstractions with simplicity and purity. In a software world that is driven by hypes and desillusions, a language like PicoLisp almost appears as timeless as mathematics. With its roots in the very beginning of programming language development (Lisp was, together with Fortran, among the very first of its kind), PicoLisp may well represent the future too - as a candidate for being the "hundred-year language", that all programming languages finally converge into. ...
PicoLisp Works is a compilation of (almost) all available information about the technological gem PicoLisp - a programming language and environment that definitely deserves wider attention. Built on the unique characteristics of Lisp (almost no syntax, code is equivalent to data), PicoLisp combines powerful abstractions with simplicity and purity. In a software world that is driven by hypes and desillusions, a language like PicoLisp almost appears as timeless as mathematics. With its roots in the very beginning of programming language development (Lisp was, together with Fortran, among the very first of its kind), PicoLisp may well represent the future too - as a candidate for being the "hundred-year language", that all programming languages finally converge into. ...
Data Structures and Algorithms
Data Structures and Algorithms (DSA) features implementations of data structures and algorithms that are not implemented in any version of .NET. This book is the result of a series of emails sent back and forth between the two authors during the development of a library for the .NET framework of the same name. A key factor of this book and its associated implementations is that all algorithms were designed by us, using the theory of the algorithm in question as a guideline. The book use's pseudo code to describe the solutions that we have created so that it can be easily ported to many imperative OO languages like C#, C++, and Java (amongst others). ...
Data Structures and Algorithms (DSA) features implementations of data structures and algorithms that are not implemented in any version of .NET. This book is the result of a series of emails sent back and forth between the two authors during the development of a library for the .NET framework of the same name. A key factor of this book and its associated implementations is that all algorithms were designed by us, using the theory of the algorithm in question as a guideline. The book use's pseudo code to describe the solutions that we have created so that it can be easily ported to many imperative OO languages like C#, C++, and Java (amongst others). ...
TensorFlow 2 Pocket Reference
This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases. Understand best practices in TensorFlow model patterns and ML workflows; Use code snippets as templates in building TensorFlow models and workflows; Save development time by integrating prebuilt models in TensorFlow Hub; Make informed design choices about data ingestion, training paradigms, model saving, and inferencing; Address common scenari ...
This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself. When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases. Understand best practices in TensorFlow model patterns and ML workflows; Use code snippets as templates in building TensorFlow models and workflows; Save development time by integrating prebuilt models in TensorFlow Hub; Make informed design choices about data ingestion, training paradigms, model saving, and inferencing; Address common scenari ...