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Concurrency is arguably the hardest concept for Python developers, because the important ideas already assume you understand the operating system underneath.

Scarf ran Haskell in production for seven years and is now moving to Python.

From kindergarten to PhD, this may be the most comprehensive chapter on Python functions.

Every if, loop, break, and continue in Python compiles down to the same tricks.

Picking the right data type in Python starts with the basics.

Working with many objects at once requires the right container.

In Part 3 of Python’s data types, we cover dict and the new frozendict, Python 3.15’s built-in immutable mapping, plus how to choose the right data type for the job.

In Python, two variables equal to 256 share the same object, but two variables equal to 512 don’t.

Validation tells you if data is okay.

We explore Python testing from unit tests to integration and end-to-end tests, mutation testing, property-based testing, and MC/DC.

We look at why static typing matters in Python and how type hints help you catch bugs before your code ever runs.

There is no escape.

Production-grade Python, coding with AI, and other things on my mind.