Python
Learn how to turn a throwaway script into a polished CLI with Python's built-in argparse — flags, types, custom validation, mutually exclusive groups, shared parent parsers, and git-style subcommands that dispatch cleanly.
Python
Learn how to use Python's type hints for real: modern union and generic syntax, TypedDict, Protocol, overloads, type aliases, and the pitfalls that trip people up — with runnable examples.
Python
Read, write, append, and safely extract ZIP archives with Python's standard-library zipfile module — compression choices, ZipInfo metadata, in-memory archives, and the path-traversal pitfall that bites almost everyone.
Python
Learn how Python's logging module really works — loggers, handlers, formatters, and levels — plus dictConfig, rotating files, structured JSON logs, and the pitfalls that trip up almost everyone.
Python
A hands-on tour of Python's functools module—lru_cache and cache, partial, reduce, wraps, singledispatch, cached_property, and total_ordering—with runnable examples and the pitfalls that trip people up.
Python
Learn to write Python decorators from first principles — closures, functools.wraps, decorators that take arguments, class-based stateful decorators, stacking, and the pitfalls that trip everyone up.
Python
Learn Python's itertools from the ground up: infinite, terminating, and combinatoric iterators, plus how to compose them into lazy, memory-efficient pipelines — and the pitfalls (exhaustion, groupby sorting, combinatoric blowups) to avoid.
Python
Learn how Python's context managers really work, how to build your own with classes and @contextmanager, and how contextlib tools like suppress, redirect_stdout, ExitStack, and nullcontext eliminate fragile try/finally boilerplate.
Python
Learn how Python's dataclasses eliminate __init__, __repr__, and __eq__ boilerplate — plus default_factory, frozen instances, ordering, slots, kw_only, __post_init__, and the asdict/replace helpers.
Python
A practical deep dive into Python's collections module — learn how defaultdict, Counter, deque, namedtuple, ChainMap, and OrderedDict replace clunky boilerplate with fast, readable, idiomatic code.
Python
Regular expressions look intimidating, but Python's re module makes them approachable. Here is a practical tour of matching, groups, and compiled patterns.
Python
Learn how pathlib replaces the clunky os.path string-juggling with clean, object-oriented file paths — building paths, globbing, reading and writing files, and the pitfalls to avoid.