The Python Workshop

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.

Introduction

In this chapter, you'll continue the move which started in Chapter 8, Software Development, away from your individual focus on learning the syntax of the Python language toward becoming a contributing ...