I wrote Python for weeks before I realised I only knew 2 of the 7 data types.
Here’s the full picture:
① int → whole numbers (age, count, rank)
② float → decimals (price, score, coordinates)
③ str → any text in quotes
④ bool → True or False only — but used everywhere
⑤ list → ordered, changeable collection
⑥ tuple → ordered, locked. Cannot be changed.
⑦ dict → key-value pairs. The foundation of JSON and APIs.
One thing nobody warns you about:
int(3.9) = 3. Not 4.
Python truncates — it does not round.
This broke my code the first time. Now you know before it breaks yours.
Day 7 of learning Python for data science — documenting everything so you don’t start from zero.
Which data type confused you most? Drop it below.
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