Time to bring in the big guns. NumPy and Pandas are the backbone of Python's data science ecosystem. If you're working with datasets, crunching numbers, or building visualizations, this is where it gets exciting.
Note: This section requires installing third-party packages. Each lesson includes setup instructions.
| # | Lesson | Description |
|---|---|---|
| 01 | NumPy Basics | Fast numerical computing with arrays |
| 02 | Pandas Basics | DataFrames for tabular data analysis |
| 03 | Data Cleaning | Handling missing data, duplicates, and messy inputs |
| 04 | Visualization | Creating charts and plots with matplotlib |
pip install numpy pandas matplotlib- Perform fast numerical operations with NumPy arrays
- Load, filter, group, and analyze tabular data with Pandas
- Clean real-world messy datasets
- Create publication-quality visualizations
- Section 02: Data Structures
- Section 03: File I/O — especially CSV and JSON
- Section 08: Working with Data — helpful but not required