From language fundamentals to object-oriented design, async I/O, data pipelines, and AI foundations.
Learn Python 3 for modern engineering: syntax, data structures, list comprehensions, object-oriented programming, decorators, generators, context managers, type hints, package management, and backend/AI pipelines.
Python philosophy (import this), indentation rules, interpreter, and REPL.
int, float, bool, str, f-strings, string methods, and type casting.
if/elif/else, for loops, while loops, range(), break, continue, and match/case.
Mutable lists, immutable tuples, hash-map dictionaries, and unique sets.
Declarative transformations, nested comprehensions, and conditional filtering.
Positional vs keyword arguments, *args, **kwargs, lambda functions, and type hints.
Classes, inheritance, encapsulation, @property, and dunder methods (__str__, __repr__, __eq__).
Higher-order decorators (@decorator), yield keyword, and memory-efficient generator iterators.
Reading/writing files with 'with open(...)', custom context managers (__enter__/__exit__), and JSON parsing.
AsyncIO event loop, async/await, coroutines, tasks, and asyncio.gather().
venv, pip, pyproject.toml, requirements.txt, and publishing packages to PyPI.
Explore the CPython interpreter: PEP 703 Free-Threaded Python without the GIL, Tier-2 Copy-and-Patch JIT compiler, and opcode specialization.
Master low-level asyncio architecture: Transports, Protocols, TaskGroups (Python 3.11+), and uvloop event loops.
Master Python OOP metaprogramming: custom metaclasses (`type`), the 3-method Descriptor protocol, and C3 Linearization (MRO).
Accelerate numerical code with Cython C-extensions, CFFI bindings, and zero-copy NumPy Buffer Protocol strides.
Eliminate Python memory bloat: inspect heap allocations with `tracemalloc`, tune cyclical GC, and slash class memory by 60% with `__slots__`.