Scientific Software Engineering in a Nutshell
by Helmut G. Katzgraber
Publisher: arXiv 2010
Number of pages: 39
Writing complex computer programs to study scientific problems requires careful planning and an in-depth knowledge of programming languages and tools. In this chapter the importance of using the right tool for the right problem is emphasized. Common tools to organize computer programs, as well as to debug and improve them are discussed, followed by simple data reduction strategies and visualization tools.
Home page url
Download or read it online for free here:
by Richard Monson-Haefel - O'Reilly
These articles are the original, unedited contributions for the book 97 Things Every Software Architect Should Know. Today's leading software architects present valuable principles on key development issues that go way beyond technology.
by Gary Marrer
Written for students who are preparing for their first computer programming language class. The topics are presented in an easy to understand fashion with special emphasis on the fundamental concepts necessary to develop quality software programs.
by Michael DiBernardo (ed.) - The Architecture of Open Source Applications
This book provides you with the chance to study how 26 experienced programmers think when they are building something new. The programs you will read about in this book were all written from scratch to solve difficult problems.
by Derick Bailey - LosTechies.com
S.O.L.I.D. is a collection of best-practice design principles which can be applied to your design, allowing you to accomplish various desirable goals such as loose-coupling, higher maintainability, intuitive location of interesting code, etc.