Python Learning Path

This repository provides a comprehensive path for Python re-familiarization, from basics to advanced concepts.

It is open sourced using CC0.

Current Structure

• 010-020: Fundamentals (data types, control structures)
• 030-037: Functions and type system
• 040-047: Object-Oriented Programming
• 050-060: Modules and libraries
• 070+: Advanced topics

Suggested Additions for Intermediate Python Coverage

New Notebooks to Add:

1. 025 Advanced Data Structures (Priority: High)

   • Collections module (defaultdict, Counter, OrderedDict)
   • heapq module
   • bisect module
   • Advanced list/dict comprehensions

2. 055 File Operations and Context Managers (Priority: High)

   • Advanced file operations
   • Context managers (with statement)
   • Creating custom context managers
   • File-like objects

3. 065 Decorators and Metaprogramming (Priority: High)

   • Function decorators
   • Class decorators
   • Decorator factories
   • Metaprogramming basics

4. 075 Advanced Exception Handling (Priority: Medium)

   • Custom exceptions
   • Exception hierarchies
   • Context managers for error handling
   • Best practices

5. 080 Iterators and Generators (Priority: High)

   • Iterator protocol
   • Generator functions and expressions
   • yield and yield from
   • Memory efficiency

Additions to Existing Notebooks:

1. In 040 classes.ipynb:

   • Abstract Base Classes (ABC)
   • Multiple inheritance
   • Method Resolution Order (MRO)
   • Metaclasses
   • Properties and descriptors

2. In 045 objects.ipynb:

   • Object serialization
   • Pickling and unpickling
   • Deep vs shallow copy
   • Memory management

3. In 060 libraries and imports.ipynb:

   • Package organization
   • Relative imports
   • Import hooks
   • Namespace packages

4. In 070 concurrency.ipynb:

   • asyncio basics
   • Async/await syntax
   • Threading vs Multiprocessing
   • Concurrent.futures

See the numbered Jupyter notebook names for current materials.