Companion sync for the maintenance update of "Fast, Flexible, Easy and Intuitive: How to Speed Up Your pandas Projects".

The tutorial's dependencies field moved from pandas==0.23.3 / python==3.7 to pandas==3.0.6 / python==3.14, so this folder needed to catch up.

What changed

• requirements.txt (new) — pins the versions the article now targets: pandas==3.0.6, numpy==2.5.3. The folder had no file a reader could install from.
• README.md — the sample output was recorded on Python 3.6.6 / pandas 0.23.2 in 2018. Replaced with a real run on Python 3.14.6 / pandas 3.0.6, and added the install step for the new requirements.txt.
• tutorial/__main__.py — the comment above convert() said "conversion of object dtype to datetime". pandas 3.0 enables a dedicated string dtype by default, so read_csv() now yields str, not object. The article's prose and df.dtypes output were updated the same way.

No behaviour changes: every function in __main__.py runs unmodified on pandas 3.0.6.

How it was verified

• Fresh venv on Python 3.14.6 with the new pins, then python -m tutorial end to end — exit 0, all eight timing functions ran.
• ruff@0.14.1 format --check pandas-fast-flexible-intuitive → 3 files already formatted.
• ruff@0.14.1 check pandas-fast-flexible-intuitive → all checks passed.
• .github/workflows/dircheck.py → passed.

Links

• Draft article update: https://realpython.com/pbjt/blog/post/2408/change/
• Maintenance card: https://trello.com/c/wyoWTIpR

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