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 Sean Chambers, Simone Chiaretta - Los Techies
Refactoring is an integral part of continually improving your code while it moves forward through time. It is an easy concept to get started with and opens the door to better practices such as unit testing, shared code ownership and bug-free code.
by Matthias Felleisen, et al - The MIT Press
The focus of the book is the design process, from problem statements to organized solutions, it deemphasizes the algorithmic and language details, and specific applications. Programming is a fun activity, and a way to express abstract ideas.
by Kevlin Henney - O'Reilly Media
Tap into the wisdom of experts to learn what every programmer should know, no matter what language you use. With the 97 extremely useful tips for programmers in this book, you'll expand your skills by adopting new approaches to old problems.
by Dave Hoover, Adewale Oshineye - O'Reilly Media
These patterns address difficult situations that programmers, administrators, and DBAs face every day. The book also approaches software development as a means to personal fulfillment. Discover how it can help you make the best of your career.