In many cases, scientific research takes you into totally new areas of knowledge, never before explored by others. This means the computational work you need to do may be totally new as well. Although typically such code development still happens in C or FORTRAN, Python is growing in popularity. This is especially true in physics.

Creed of Python Developers Pythonistas are eager to extol the lovely virtues of our language. Most beginning Python programmers are invited to run import this from the interpreter right after the canonical hello world. One of the favorite quips from running that command is:

Although it sometimes might seem as if relational databases have gone the way of the dinosaur, making way for non-relational (NoSQL) databases, such as MongoDB and Cassandra, a very large number of systems still depend on a relational database.

Do you routinely make changes to more than a dozen machines at a time? Read this article to find out about a tool to make that task much easier.

Are you a Python programmer who wishes your storage could do more for you? Here's an easy way to add functionality to a real distributed filesystem, in your favorite language.

For Linux users, the command line is a celebrated part of our entire experience. Unlike other popular operating systems, where the command line is a scary proposition for all but the most experienced veterans, in the Linux community, command-line use is encouraged.

I was proudly wearing one of my Salt Stack shirts the other day when my daughter asked me, "What is Salt Stack?" I began by explaining the problem it solved. If you have multiple servers and want to do things to those servers, you would need to log in to each one and do those things one at a time on each one. They could be fairly simple tasks like restarting them or checking how long they have been running. Or, you might want to do more complicated things like installing software and then configuring that software based upon your own specific criteria. You also might want to add users and configure permissions for them.

Many programming languages include libraries to do more complicated math. You can do statistics, numerical analysis or handle big numbers. One topic many programming languages have difficulty with is symbolic math. If you use Python though, you have access to sympy, the symbolic math library.

A basic introduction to using the Python boto library to interact with AWS services and resources.

Chapter 3: Algorithms Python includes several modules for implementing algorithms elegantly and concisely using whatever style is most appropriate for the task. It supports purely procedural, object-oriented, and functional styles. All three styles are frequently mixed within different parts of the same program.