Statistical Software Engineering
Publisher: National Academies Press 1996
Number of pages: 89
This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering.
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The problems to solve in software engineering are so complex or large, that a single developer cannot solve them anymore. This book is an introduction to the art of software engineering. It is intended as a textbook for an undergraduate level course.
by Dustin Boswell, Trevor Foucher - O'Reilly
This book focuses on the nuts and bolts of programming, with simple and practical techniques you can use every time you sit down to write code. You'll find tips throughout the book, with easy-to-digest code examples and helpful illustrations.
by Allen Downey - Green Tea Press
A concise introduction to software design using Python. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. The goal is to teach you to think like a computer scientist.
by Stephen Bloch - College Publications
Picturing Programs 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 or college level.