Mastering Python

Table of Contents

1. Getting started, one environment per project
2. Pythonic syntax, common pitfalls and style guide
3. Containers and collections
4. Functional programming, readability versus brevity
5. Decorators, enabling code reuse by decorating
6. Generators and coroutines, infinity, one step at a time
7. Async IO, multithreading without threads
8. Metaclasses, making classes (not instances) smarter
9. Documentation, reStructuredText, Napoleon and how to use Sphinx
10. Testing and logging, preparing for bugs
11. Debugging, solving the bugs
12. Performance, tracking and reducing your memory and cpu usage
13. Multiprocessing, when a single cpu core is not enough
14. Extensions in C/C++, system calls and C/C++ libraries
15. Packaging, creating your own libraries/applications