Computer Programming

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.

The purpose of this book is to give you a thorough introduction to competitive programming. It is assumed that you already know the basics of programming, but no previous background in competitive programming is needed.

The book explores the technical as well as cultural imaginaries of programming from its insides. It follows the principle that the growing importance of software requires a new kind of cultural thinking - and curriculum - that can account for, and with which to better understand the politics and aesthetics of algorithmic procedures, data processing and abstraction.

Answer Set Programming (ASP) is a programming methodology oriented towards combinatorial search problems. In such a problem, the goal is to find a solution among a large but finite number of possibilities. The idea of ASP came from research on artificial intelligence and computational logic. ASP is a form of declarative programming: an ASP program describes what is counted as a solution to the problem, but does not specify an algorithm for solving it. Search is performed by sophisticated software systems called answer set solvers.

This book introduces programming to readers involved with the arts and humanities; there are no prerequisites, and no previous knowledge of programming is assumed. Nick Montfort reveals programming to be not merely a technical exercise within given constraints but a tool for sketching, brainstorming, and inquiry.

This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming.

Performative, improvised, on the fly: Live Coding is about how people interact with the world and each other via code. In the last few decades, live coding has emerged as a dynamic creative practice gaining attention across cultural and technical fields—from music and the visual arts through to computer science.

What does Creativity mean in the context of IT and what happens when IT acts in its name? This book examines the concept of creativity in large IT companies in times of digital change, including new ways of working or potential artificial creativity with no human interaction.

This book is not just about learning to program; although you will learn to code. It is a roadmap, a guide to take you from writing your first Python program, to passing your first technical interview.

Maximize developer productivity to address competitive threats as well as explore new opportunities. This book is an essential resource for aspiring and experienced software developers who want to master the skills required to succeed in today's fast-paced tech industry.

Many people would regard this as being two books in one, integrated. One book is an introduction to programming, teaching you basic concepts of organizing data and the programs that operate over them, ending in the investigation of universally useful algorithms. The other book is an introduction to programming languages: a study, from one level up, of the media by which we structure these data and programs.

This series is for people - adults and teenagers - who are interested in computer programming because it's fun. The three volumes use the Logo programming language as the vehicle for an exploration of computer science from the perspective of symbolic computation and artificial intelligence. Logo is a dialect of Lisp, a language used in the most advanced research projects in computer science, especially in artificial intelligence. Throughout the series, functional programming techniques (including higher order functions and recursion) are emphasized, but traditional sequential programming is also used when appropriate.

This book delves into the hidden world of software development, offering a combined anthropological and technical approach that explores the coder community's impact on our digital landscape.