Q# Pocket Guide
Ready to build quantum computing applications using Q# and the Microsoft Quantum Development Kit? This is the book for you. Q# is a domain-specific language for expressing quantum algorithms that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with (or willing to learn) the basics of quantum computing and looking to get started with quantum programming, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#. You'll explore the quantum software development lifecycle from implementing the program to running it on quantum simulators to testing and debugging it. You'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process. You'll explore: Q# language details, including data types, statements, and operators; Guidelines for organizing Q# code and invoking it from different environments; Information on simulators and tools in the Micros ...
Ready to build quantum computing applications using Q# and the Microsoft Quantum Development Kit? This is the book for you. Q# is a domain-specific language for expressing quantum algorithms that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with (or willing to learn) the basics of quantum computing and looking to get started with quantum programming, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#. You'll explore the quantum software development lifecycle from implementing the program to running it on quantum simulators to testing and debugging it. You'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process. You'll explore: Q# language details, including data types, statements, and operators; Guidelines for organizing Q# code and invoking it from different environments; Information on simulators and tools in the Micros ...
Microsoft Orleans for Developers
Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework. Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructure moves to multi-core; multiple computers are being used for scale, redundancy, and cloud computing; and multi-region deployment is taking place. Orleans handles many of the concerns of distributed computing and cloud infrastructure, allowing you to concentrate on writing application logic. ...
Use a simple programming model and the .NET language of your choice to build large distributed systems. This book teaches you the Microsoft Orleans framework. Even well-versed professional software developers with expertise in C# (or another language) find themselves unequipped to meet the challenges of distributed systems as infrastructure moves to multi-core; multiple computers are being used for scale, redundancy, and cloud computing; and multi-region deployment is taking place. Orleans handles many of the concerns of distributed computing and cloud infrastructure, allowing you to concentrate on writing application logic. ...
Artificial Intelligence in Medical Sciences and Psychology
Get started with artificial intelligence for medical sciences and psychology. This book will help healthcare professionals and technologists solve problems using machine learning methods, computer vision, and natural language processing (NLP) techniques. The book covers ways to use neural networks to classify patients with diseases. You will know how to apply computer vision techniques and convolutional neural networks (CNNs) to segment diseases such as cancer (e.g., skin, breast, and brain cancer) and pneumonia. The hidden Markov decision making process is presented to help you identify hidden states of time-dependent data. In addition, it shows how NLP techniques are used in medical records classification. This book is suitable for experienced practitioners in varying medical specialties (neurology, virology, radiology, oncology, and more) who want to learn Python programming to help them work efficiently. It is also intended for data scientists, machine learning engineers, m ...
Get started with artificial intelligence for medical sciences and psychology. This book will help healthcare professionals and technologists solve problems using machine learning methods, computer vision, and natural language processing (NLP) techniques. The book covers ways to use neural networks to classify patients with diseases. You will know how to apply computer vision techniques and convolutional neural networks (CNNs) to segment diseases such as cancer (e.g., skin, breast, and brain cancer) and pneumonia. The hidden Markov decision making process is presented to help you identify hidden states of time-dependent data. In addition, it shows how NLP techniques are used in medical records classification. This book is suitable for experienced practitioners in varying medical specialties (neurology, virology, radiology, oncology, and more) who want to learn Python programming to help them work efficiently. It is also intended for data scientists, machine learning engineers, m ...
Beginning Data Science in R 4, 2nd Edition
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. ...
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. ...
An Introduction to Matlab and Mathcad
This free book, or really a "coursebook" for a college freshman-level class, has been updated for Spring 2014 and provides an introduction to programming and problem solving using both Matlab and Mathcad. We provide a balanced selection of introductory exercises and real-world problems (i.e. no "contrived" problems). We include many examples and screenshots to guide the reader. We assume no prior knowledge of Matlab or Mathcad. ...
This free book, or really a "coursebook" for a college freshman-level class, has been updated for Spring 2014 and provides an introduction to programming and problem solving using both Matlab and Mathcad. We provide a balanced selection of introductory exercises and real-world problems (i.e. no "contrived" problems). We include many examples and screenshots to guide the reader. We assume no prior knowledge of Matlab or Mathcad. ...
Introduction to Game Design, Prototyping, and Development, 3rd Edition
A hands-on book that explains concepts "by doing," Introduction to Game Design, Prototyping, and Development, 3rd Edition, takes readers through the process of making both paper and digital game prototypes. Rather than focusing on a single tutorial, as most Unity books have done, this book explores several small prototypes, reinforcing critical concepts through repetition from project to project. Author Jeremy Gibson Bond's approach creates a stable of "base projects" that serve as starters for readers looking to create their own games), while skipping the aspects of project creation (e.g. modeling, animation, etc.) that are less central to this book. Intermediate readers may browse this book for a tutorial that clarifies the specific prototyping or programming concept that they wish to learn. This book begins with an introduction to general game design concepts and basic programing concepts. C# is the chosen language used in this book, and it is easy to learn and enforces good codi ...
A hands-on book that explains concepts "by doing," Introduction to Game Design, Prototyping, and Development, 3rd Edition, takes readers through the process of making both paper and digital game prototypes. Rather than focusing on a single tutorial, as most Unity books have done, this book explores several small prototypes, reinforcing critical concepts through repetition from project to project. Author Jeremy Gibson Bond's approach creates a stable of "base projects" that serve as starters for readers looking to create their own games), while skipping the aspects of project creation (e.g. modeling, animation, etc.) that are less central to this book. Intermediate readers may browse this book for a tutorial that clarifies the specific prototyping or programming concept that they wish to learn. This book begins with an introduction to general game design concepts and basic programing concepts. C# is the chosen language used in this book, and it is easy to learn and enforces good codi ...
C++ Core Guidelines Explained
The official C++ Core Guidelines provide consistent best practices for writing outstanding modern C++ code and improving legacy code, but they're organized as a reference for looking up one specific point at a time, not as a tutorial for working developers. In C++ Core Guidelines Explained, expert C++ instructor Rainer Grimm has distilled them to their essence, removing esoterica, sharing new insights and context, and presenting well-tested examples from his own training courses. Grimm helps experienced C++ programmers use the Core Guidelines with any recent version of the language, from C++11 onward. Most of his code examples are written for C++17, with added coverage of newer versions and C++20 wherever appropriate, and references to the official C++ Core Guidelines online. Whether you're creating new software or improving legacy code, Grimm will help you get more value from the Core Guidelines' most useful rules, as you write code that's safer, clearer, more efficient, and eas ...
The official C++ Core Guidelines provide consistent best practices for writing outstanding modern C++ code and improving legacy code, but they're organized as a reference for looking up one specific point at a time, not as a tutorial for working developers. In C++ Core Guidelines Explained, expert C++ instructor Rainer Grimm has distilled them to their essence, removing esoterica, sharing new insights and context, and presenting well-tested examples from his own training courses. Grimm helps experienced C++ programmers use the Core Guidelines with any recent version of the language, from C++11 onward. Most of his code examples are written for C++17, with added coverage of newer versions and C++20 wherever appropriate, and references to the official C++ Core Guidelines online. Whether you're creating new software or improving legacy code, Grimm will help you get more value from the Core Guidelines' most useful rules, as you write code that's safer, clearer, more efficient, and eas ...
Learn Enough JavaScript to Be Dangerous
JavaScript plays a key role in modern software development, not only because it is the only language that runs inside virtually all web browsers, but also because it has become widely used for back-end and general-purpose development as well. Although JavaScript is a big language, you don't need to learn "everything" about it to get started, just how to use it efficiently to solve real problems. In Learn Enough JavaScript to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive. Even if you've never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Treating JavaScript as a general-purpose language right from the start, Hartl offers examples for creating dynamic effects in browsers and for writing scripts and modules using Node.js. Focused exercises help you internalize what matters, without wasting time on details pros don't care a ...
JavaScript plays a key role in modern software development, not only because it is the only language that runs inside virtually all web browsers, but also because it has become widely used for back-end and general-purpose development as well. Although JavaScript is a big language, you don't need to learn "everything" about it to get started, just how to use it efficiently to solve real problems. In Learn Enough JavaScript to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive. Even if you've never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Treating JavaScript as a general-purpose language right from the start, Hartl offers examples for creating dynamic effects in browsers and for writing scripts and modules using Node.js. Focused exercises help you internalize what matters, without wasting time on details pros don't care a ...
Rust Web Development with Rocket
Looking for a fast, powerful, and intuitive framework to build web applications? This Rust book will help you kickstart your web development journey and take your Rust programming skills to the next level as you uncover the power of Rocket - a fast, flexible, and fun framework powered by Rust. Rust Web Development with Rocket wastes no time in getting you up to speed with what Rust is and how to use it. You'll discover what makes it so productive and reliable, eventually mastering all of the concepts you need to play with the Rocket framework while developing a wide set of web development skills. Throughout this book, you'll be able to walk through a hands-on project, covering everything that goes into making advanced web applications, and get to grips with the ins and outs of Rocket development, including error handling, Rust vectors, and wrappers. You'll also learn how to use synchronous and asynchronous programming to improve application performance and make processing user conte ...
Looking for a fast, powerful, and intuitive framework to build web applications? This Rust book will help you kickstart your web development journey and take your Rust programming skills to the next level as you uncover the power of Rocket - a fast, flexible, and fun framework powered by Rust. Rust Web Development with Rocket wastes no time in getting you up to speed with what Rust is and how to use it. You'll discover what makes it so productive and reliable, eventually mastering all of the concepts you need to play with the Rocket framework while developing a wide set of web development skills. Throughout this book, you'll be able to walk through a hands-on project, covering everything that goes into making advanced web applications, and get to grips with the ins and outs of Rocket development, including error handling, Rust vectors, and wrappers. You'll also learn how to use synchronous and asynchronous programming to improve application performance and make processing user conte ...
Algorithms for Decision Making
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems - used in applications that range from aircraft collision avoidance to breast cancer screening - must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act t ...
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems - used in applications that range from aircraft collision avoidance to breast cancer screening - must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act t ...