Section 3 chapters · 13 lessons
Pandas
Read, clean, reshape, join, and analyze tabular data. Avoid the silent bugs that bite everyone. Learn the patterns that scale to millions of rows.
0 / 13 lessons
- 01
Getting Started
5 lessons - 01 Series
- 02 DataFrame basics
- 03 Reading data
- 04 Selection: loc vs iloc
- 05 Missing data
- 02
Transforming Data
5 lessons - 06 GroupBy
- 07 Merge & join
- 08 pivot, melt, stack
- 09 Time series
- 10 Method chaining
- 03
Performance & Pitfalls
3 lessons - 11 Memory optimization
- 12 SettingWithCopyWarning — fixed
- 13 When to switch to Polars