A practical guide to data classes, why they replace hand-rolled classes for data containers, and the features that make them worth reaching for.
A practical guide to Python's built-in data structures — lists, tuples, sets, and dictionaries — when to use each, their time-complexity trade-offs, and when to reach for the collections module.
A beginner-friendly walkthrough of Relational Database Management Systems: what they are, how they organize data, and core concepts to get started.
A beginner-friendly look at how glob patterns work in Python — *, ?, [...], and the glob module.
Going past the basics: functools.partial and lru_cache, closures, recursion, and a real refactor of imperative code into a functional shape.
The chase for more — more code, more projects, more output — is easy to …
A beginner-friendly look at how functions work in Python when you treat them the functional-programming way — first-class objects, pure functions, and the map/filter/reduce trio.
Memento mori is not a curse — it is the sharpest tool for deciding what actually matters today.