9. Practical Python – Advanced Topics

Overview

By the end of this chapter, you will be able to, write Python collaboratively as a member of a team; use conda to document and set up the dependencies for your Python programs; use Docker to create reproducible Python environments to run your code; write programs that take advantage of multiple cores in modern computers; write scripts that can be configured from the command line and explain the performance characteristics of your Python programs, and use tools to make your programs faster.