https://linkedin.com/in/dennisbakhuis/
Various notebooks demostrating nifty Pandas tricks
1. Faster DataFrame row iteration
2. Split text column into multiple new columns
3. Transform groupby result back into original DataFrame
4. Chunking your CSV directly in Pandas
5. Binning your data
6. Selecting ranges
7. Give aggregation a name
8. Exploding your DataFrames
9. Loc or query?
10. Filter your rows and columns
11. count_values like a pro
12. .rank() the stars in Pandas
13. Pivot your tables
14. What's your number?
15. Compress your data
16. More rows and columns