My take into build a basic structure to dictate how to become a Python Expert ... from basic to specialist ?

python_expert_path.md

Python Expert Path

Beginner

• Basic syntax
  • Variables types:
    • bool, int, float, str, byte, complex, None
  • Conditionals:
    • if, else, elif, for, while, match
  • Functions: simple use, and known what first class citizen is (concept)
  • Data structures:
    • list, tuple, dict, set
  • Exception handling
• File I/O
• Compreensions: list, dict
• f-strings

Intermediate

• Debugger (without print)
• pep8
• Python package (pip)
• Variable types:
  • bytearray, memoryview
• Walrus operator :=
• Type Annotations
  • Basic
• Functions: *args | **kwargs
• Other data structures: namedtuple, queue, enum, heapq
• StandardLib: Decimal (float point errors), pickle
• Context Manager
• Object-Oriented
  • __init__ | __new__
  • dunder methods
  • Abstract Base Class
  • dataclasses
• Iterators
• Functional programming
  • Lambda
    • map, filter, reduce
  • Closure
• Decorators
• Compreensions: set

Advanced

• StandardLib:
  • functools, itertools, bisect, collections, contextvars, tracemalloc
• Generators
  • Generator expressions
• Object-Oriented
  • __slots__
  • __mro__
  • property
  • Multiple Inheritance (Mixins)
• Functional programming
  • functools.partial
  • Memoisation
  • Immutability
• Paralelism and Concurrency
  • Process (ProcessPoolExecutor, SharedMemory)
  • Thread (ThreadPoolExecutor)
  • asyncio (TaskGroup, Exception Groups)

Specialist

• Coroutines
• StandardLib
  • ast
  • inspect
  • types
• Type Annotations
  • Variadic Generics
  • Protocol
• Object-Oriented
  • Descriptors
  • Metaclasses
• Deploy and management of python packages
• Memory Management
• Interpreters (and environment around them)
  • CPython
  • Pypy
  • Pyston
• CPython Internals