You've got the fundamentals down — now it's time to write code like a Pythonista. This section covers the features that separate beginners from intermediate developers. These patterns show up everywhere in production Python code.
| # | Lesson | Description |
|---|---|---|
| 01 | Error Handling | Gracefully dealing with things that go wrong |
| 02 | Decorators | Wrapping functions to add behavior |
| 03 | Generators | Lazy iteration for memory-efficient processing |
| 04 | Context Managers | Managing resources with with statements |
| 05 | Modules and Packages | Organizing code across files and directories |
| 06 | Lambda and Closures | Anonymous functions and captured state |
| 07 | Command-Line Arguments | Building flexible CLI tools with argparse |
- Write robust code that handles errors gracefully
- Create and use decorators to add cross-cutting functionality
- Use generators to process large datasets without blowing up memory
- Manage resources (files, connections, locks) safely
- Structure larger projects into modules and packages
- Build command-line tools that accept arguments, flags, and subcommands
- Section 01: Fundamentals
- Section 04: OOP — helpful for context managers and decorators