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.
Download or read it online for free here:
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 The Unicode Consortium - Addison-Wesley Professional
Technical guide to the creation of software for worldwide use. The book includes detailed specifications for Unicode: structure, encoding forms, character properties, semantics, equivalence, combining characters, conversion, allocation, etc.
by Charles Weir, James Noble - Addison-Wesley
Offers state-of-the art programming solutions for personal digital assistants (PDAs). Includes illustrated patterns professionals can use, with implementation notes for reference, including some on the companion Web site, and examples in C++ or Java.
by Karl Seguin - CodeBetter.Com
Free ebook on foundations of programming and building better software by Karl Seguin. Topics covered: Domain Driven Design, Persistence, Dependency Injection, Unit Testing, Object Relational Mappers, Memory and Exceptions.