Computer Programming

This innovative book presents computer programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together.

This book is aimed at readers who are interested in software development but have very little to no prior experience. The book focuses on teaching the core principles around software development. It uses several technologies to this goal (e.g. C, Python, JavaScript, HTML, etc.) but is not a book about the technologies themselves.

This book introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript.

A hands-on introduction to coding that teaches you how to program bots to do cool things in the game you love - Minecraft! This book takes the robotic "turtle" method, and extends it to the 3D, interactive world of Minecraft.

This book is designed for a first course1 in computer science that uses C++ as the language by which programming is studied. My goal in writing the book has not been to cover the syntax of a large language like C++, but to leverage the best features of the language using sound practices of programming and pedagogy in the study of computer science and software design. My intent is that mastering the material presented here will provide:

Self contained with problems completely worked out in clear, readable C++11, covers a wide swatch of advanced programming techniques, range from specialized procedures for bit manipulation, numerical analysis, subsequence problems, and random algorithms.

This book provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation.

This book is a collection of essays about a glamorous aspect of software: programming pearls whose origins lie beyond solid engineering, in the realm of insight and creativity. This book provides a guide for both students and experienced programmers about how to design and create programs, and how to think about programming.

As CPU cores become both faster and more numerous, the limiting factor for most programs is now, and will be for some time, memory access. Hardware designers have come up with ever more sophisticated memory handling and acceleration techniques–such as CPU caches–but these cannot work optimally without some help from the programmer. Unfortunately, neither the structure nor the cost of using the memory subsystem of a computer or the caches on CPUs is well understood by most programmers.

This book describes the Persistent Memory technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware.

Algorithmic problem solving is the art of formulating efficient methods that solve problems of a mathematical nature. The purpose of this book is to contribute to the literature of algorithmic problem solving in two ways. First of all, it tries to fill in some holes in existing books. Secondly, it provides another way of learning the basics of algorithmic problem solving by helping the reader build an intuition for problem solving.

Many organizations have a priority to digitize their processes and move faster to meet changing business requirements, but IT teams are maxed out and need help. The low-code capabilities allow anyone to automate, extend, and build digital workflows that can unlock productivity. Companies can increase app delivery capacity by empowering more people to build applications with less complexity.

This is a textbook for beginning computer programming, not directed towards learning a particular programming language, but rather at learning to program well. This book can be used at the high school (and perhaps middle school) level, while providing enough advanced concepts not usually found in a first course to challenge a college student.

As we pointed out in The Architecture of Open Source Applications, architects look at thousands of buildings during their training, and study the critiques of many more. But most software developers only ever get to know a handful of programs well - usually programs they wrote themselves.

As programmers, we've all seen source code that's so ugly and buggy it makes our brain ache. And let's be honest, we've all written code like that. With this book, you'll learn to write code that's easy to read and understand. You'll have more fun and your coworkers will love you.