Python
Learn how pathlib turns clumsy os.path string juggling into clean, object-oriented filesystem code — joining paths, globbing, reading and writing files, walking trees, and the pitfalls that trip people up.
Python
Descriptors are the mechanism behind properties, methods, and ORM fields. Learn how __get__, __set__, and __set_name__ work, the crucial data vs. non-data distinction, and how to build reusable validators and cached properties.
News
Python 3.15's beta phase has closed and release candidate 1 lands August 4. Plus: the PSF opens a 2026 grants round, CPython's JIT stays on its six-month clock, Django ships security fixes, and FastAPI refactors its router internals.
Python
Go beyond json.loads and json.dumps. Learn custom encoders and decoders, how to serialize datetimes and Decimals, control formatting, handle errors gracefully, and dodge the module's sharpest edges — from silent duplicate keys to NaN.
Python
Learn how Python's heapq turns a plain list into a fast priority queue: heappush/heappop, heapify, max-heaps, tie-breaking, top-N queries, merging sorted streams, a running median, and a clean Dijkstra.
Python
Lists make deceptively bad stacks and queues. Here's why collections.deque exists, when to reach for it, and how it behaves under the hood.
Python
Learn how Python generators work under the hood — lazy evaluation, the yield keyword, generator expressions, yield from delegation, two-way communication with send(), and building memory-efficient data pipelines that scale to millions of items.
Python tutorials that go beyond the basics - deep dives into the standard library, testing, typing, and async, plus weekly Python news.
A practical deep dive into Python f-strings: expressions, the format-spec mini-language for alignment and numbers, the self-documenting = specifier, conversion flags, and the pitfalls that bite in production.
Learn to use Python's built-in sqlite3 module the right way: parameterized queries, row factories, transactions with the connection context manager, executemany, custom type adapters, and the pitfalls that bite newcomers.
Learn to run external commands from Python the safe, modern way: subprocess.run(), capturing output, timeouts, pipes with Popen, streaming output, and how to avoid shell-injection pitfalls.
A process-heavy week after EuroPython: PEP 836 "JIT Go Brrr" answers the Steering Council's six-month deadline, Guido and Jeremy Hylton file PEP 840 on class-namespace name resolution, Python 3.15.0rc1 is due August 4, and Django ships security fixes in 6.0.7 and 5.2.16.
Learn how to replace scattered magic strings and integer constants with real, self-documenting enums. This deep dive covers Enum basics, auto(), aliases, methods on members, IntEnum, Flag, StrEnum, the functional API, and the pitfalls that trip people up.
Learn how to run Python code in parallel without wrestling with raw threads or processes. This deep dive into concurrent.futures covers thread vs. process pools, futures, as_completed, timeouts, error handling, and the pitfalls that trip people up.
The same request-response mental model powers the browser's fetch() and Python's httpx. Here's what carries over between the two — and where each language draws its own lines.
Naive vs. aware datetimes, time zones with zoneinfo, DST-safe arithmetic, and robust parsing. A practical guide to Python's datetime module and the pitfalls that bite everyone.
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.
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.
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.
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.