Python
Learn httpx, the modern Python HTTP client: query params and JSON, reusable Clients with connection pooling, async requests, sensible timeouts, robust error handling, and streaming large responses without blowing up memory.
Python
Structural pattern matching is more than a switch statement. Learn how match/case destructures sequences, mappings, and objects — plus guards, OR-patterns, and the two gotchas that trip everyone up.
Python
Learn how to write pytest suites that stay fast and readable as they grow: fixtures with proper teardown, parametrization instead of copy-paste, built-in helpers like tmp_path and monkeypatch, and mocking that verifies behaviour rather than faking success.
Python
Learn how asyncio actually works — coroutines, tasks, gather, TaskGroup, timeouts, queues, and cancellation — plus the blocking-call pitfall that quietly ruins most async code, with runnable examples throughout.
News
Python 3.15.0b4 shipped from the EuroPython sprints on July 18, closing the beta phase. Plus a new PEP from Guido van Rossum on class-scope name resolution, the JIT's six-month clock, and a PSF election deadline you shouldn't miss.
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 tutorials that go beyond the basics - deep dives into the standard library, testing, typing, and async, plus weekly Python news.
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.
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.
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.
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.
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.
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.
This week in Python: Django ships security releases 6.0.7 and 5.2.16, EuroPython 2026 opens in Kraków for its 25th anniversary, the Language Summit convenes on July 14, and Python 3.15 heads into its final beta — all under the shadow of a six-month deadline for CPython's JIT.
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.
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.
Regular expressions look intimidating, but Python's re module makes them approachable. Here is a practical tour of matching, groups, and compiled patterns.
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.
Learn how Pydantic v2 turns type hints into runtime validation: models, custom validators, nested data, serialization, and settings management — with runnable examples and common pitfalls.