Python
Exception handling separates robust Python programs from fragile scripts. A practical tour of try/except/else/finally, custom exception hierarchies, chaining, and the patterns that keep failures debuggable.
Python
Learn how to run external commands from Python the right way: subprocess.run() essentials, capturing output, handling errors and timeouts, streaming with Popen, building pipelines, and avoiding the shell=True injection trap.
News
Python 3.14.6 (released June 10, 2026) is a maintenance update with nine security fixes — including patches for CVE-2026-45186 and the completion of CVE-2021-4189 — plus OpenSSL 3.5.7, pip 26.1.2, and numerous crash and free-threading fixes.
Python
Learn how to run work in parallel with Python's concurrent.futures — when to reach for threads vs. processes, how to use ThreadPoolExecutor and ProcessPoolExecutor, and how to handle results, exceptions, and timeouts cleanly.
Python
Learn how to replace fragile magic numbers and string constants with Python's enum module — covering Enum, IntEnum, StrEnum, Flag, auto(), custom methods, aliases, the @unique decorator, and the pitfalls to avoid.
Python
Learn to handle dates and times correctly in Python: naive vs. aware datetimes, converting between time zones with the standard-library zoneinfo, parsing and formatting, safe arithmetic, and the DST pitfalls that bite real applications.
Python
Learn Python's re module from the ground up: search vs. match, groups and named captures, substitution with functions, lookarounds, flags, and the pitfalls that trip up almost everyone.
Thoughts, stories and ideas.
A steady week in Python: 3.15 reaches beta 3 with its feature set locked, Polars ships 1.42.0, CPython 3.14.6 and 3.13.14 maintenance releases land, recent Django security fixes warrant upgrading, and EuroPython 2026 nears in Kraków.
Go beyond switch statements. Learn how Python's match/case destructures sequences, mappings, and objects — with capture patterns, class patterns, guards, and the pitfalls that trip people up.
Go beyond `assert` and learn pytest the way professionals use it: clean fixtures for setup and teardown, parametrization to kill duplicated tests, and monkeypatch/mock to isolate code from the network and filesystem.
A hands-on guide to creating, styling, and batch-generating QR codes in Python with the qrcode library — from a one-liner to production-ready output.
Learn how Python's asyncio really works — from the event loop and coroutines to gather, TaskGroup, timeouts, semaphores, and running blocking code without freezing your program.
Learn how to turn a Python script into a polished command-line tool with argparse — positional and optional arguments, types and validation, flags, subcommands, and the pitfalls that trip people up.
Learn how Python's type hints actually work — from basic annotations to Protocols, TypedDict, and generics — and how to catch bugs before runtime with mypy. A hands-on, example-driven guide for intermediate developers.
A practical deep dive into Python's functools module — memoization with lru_cache and cache, cached_property, partial application, reduce, singledispatch, total_ordering, and writing decorators that don't lose metadata.
print() works for quick scripts, but real applications need log levels, structure, and control over where messages go. Learn to use Python's logging module properly: loggers, handlers, formatters, dictConfig, rotating files, and the common pitfalls to avoid.
Your week in Python: 3.15.0 beta 3 is due June 23, Astral's uv shipped 0.11.22 and 0.11.23, a new PyPI supply-chain wave spurred fresh malware tooling, Python 3.14.6 landed ~179 fixes, and EuroPython 2026 revealed its schedule one month out.
Learn how Python's itertools module lets you build fast, lazy, memory-efficient data pipelines from small composable building blocks — with runnable examples covering count, chain, islice, accumulate, groupby, batched, and more.
Learn how Python decorators really work — from closures and the @ syntax to functools.wraps, decorators that take arguments, stacking, stateful and class-based decorators, plus practical retry and caching patterns you can use today.