Programming Books

Learn how to accelerate C++ programs using data parallelism and SYCL. This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key top

This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in

Erlang is the result of a project at Ericsson's Computer Science Laboratory to improve the programming of telecommunication applications. A critical requirement was supporting the characteristics of such applications, that include: massive concurrency, fault-tolerance, isolation, dynamic code upgrading at runtime, transactions. Throughout the whole

The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice

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.

The title of this book was originally Think Perl 6, but since Perl 6 has been renamed Raku, we have also changed the title of the book. Want to learn how to program and think like a computer scientist? This practical guide gets you started on your programming journey with the help of Raku (Perl 6), the younger sister of the popular Perl programming

If you know how to program with Python and also know a little about probability, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the

This open book aims to provide novice programmers solid foundation of basic knowledge regardless of the programming language. This book covers the fundamentals of programming that have not changed significantly over the last 10 years. Educational content was developed by an authoritative author team led by Svetlin Nakov from the Software University

This book is a collection of short interviews with 14 prominent individuals from different parts of the world, from Australia to Canada, and of different occupations, from low-level programmers to physicists and musicians, asking them a more-or-less similar set of questions on the following topics: their general attitude to programming, attitude to

Mastering Dyalog APL is a complete guide to the use of Dyalog, beginning with a thorough introduction to the APL programming language. Following this, the tutorial describes a large number of common coding techniques and discusses a variety of interfaces, including file handling and COM/OLE. Bernard Legrand provides a comprehensive introduction to