Week 4 - Data Processing with Pandas

Introduction to Pandas

DataFrame operations

Grouping and Aggregation

Joining and Merging

Different Data Types

Advanced Transformations

Writing Data

Alternatives to Pandas

Practice

Assignment

Gotchas & Pitfalls

• Teachers

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2. DataFrame operations

Content coming soon...

Suggested Topics

• Selecting columns: single column, multiple columns, column slicing
• Selecting rows: loc vs iloc (label-based vs position-based)
• Boolean indexing: filtering rows with conditions
• Combining conditions: AND (&), OR (|), NOT (~)
• Query method: alternative filtering syntax
• Sorting: sort_values() on single and multiple columns
• Sorting by index: sort_index()
• Ranking data: assigning ranks to values
• Working with duplicates: identifying and removing duplicates
• Real example: filtering a sales dataset by date range and region

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