Python for Data
Hands-on pandas and Python tutorials: reading and cleaning data, grouping, merging, dates and clear charts.
-
Cleaning Messy Data with Pandas: A Practical Checklist
A step-by-step checklist for cleaning messy data in pandas: text, numbers, dates, missing values, duplicates and validation, with runnable code.
-
Pandas groupby Explained with Real Examples
Master pandas groupby: aggregations, named agg, multiple columns, monthly totals, transform, filter and ranking, with runnable examples.
-
How to Read CSV Files in Pandas (and Fix the Usual Errors)
Learn to read CSV files in pandas properly: dtypes, UK dates, separators, missing values, large files and fixes for common read_csv errors.