Same questions, two languages. When to let the database do the work, when to pull data into Python, and how to stop downloading 40 million rows to compute one average.
Method chaining, query, assign, groupby with named aggregations and other small habits that turn messy notebooks into readable analysis.
Build an efficient data science workflow entirely from the terminal using modern CLI tools and Python.
A function that calls itself sounds like a paradox. It's actually just a careful way of saying "do the same thing on a smaller problem, and know when to stop."
Unit tests, regression tests and the quiet confidence of a green checkmark, with examples you can paste into pytest today.
The one-liner that impressed you on Friday is the riddle that ruins someone's Monday. A gentle case for boring, readable code.
Type hints don't do anything at runtime. That's exactly why they're so useful, and why they can also be beautiful little lies.
Catastrophic backtracking explained with one innocent-looking pattern, a frozen server and a lot of regret.
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