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Notebooks

How to download a notebook

  1. Click download next to a notebook to save the .ipynb file directly.
  2. Open the downloaded file in VS Code.

Click view to open the notebook on GitHub first.

Unit 1: Python fundamentals

Lesson Topic Type Notebook
Bonus session Introduction to Python Demo view · download
Lesson 4 String methods, file I/O, and error handling Demo view · download
Lesson 4 String methods, file I/O, and error handling Activity view · download
Lesson 4 String methods, file I/O, and error handling Solution view · download
Lesson 5 Loops and conditionals Demo view · download
Lesson 5 Loops and conditionals Activity view · download
Lesson 5 Loops and conditionals Solution view · download
Lesson 6 Functions Demo view · download
Lesson 6 Functions Activity view · download
Lesson 6 Functions Solution view · download

Unit 2: Data science fundamentals

Lesson Topic Type Notebook
Lesson 9 NumPy Demo view · download
Lesson 9 NumPy Activity view · download
Lesson 9 Numpy Solution view . download
Lesson 10 Pandas Demo view · download
Lesson 10 Pandas Activity view · download
Lesson 10 Pandas Solution view · download
Lesson 11 Data visualization Demo view · download
Lesson 11 Data visualization Activity view · download
Lesson 11 Data visualization Solution view · download
Lesson 12 Linear algebra & basic statistics Intro view · download
Lesson 12 Linear algebra & basic statistics Demo view · download
Lesson 12 PCA & feature space Demo view · download
Lesson 12 Linear algebra & basic statistics Activity view · download
Lesson 12 Linear algebra & basic statistics Activity solution view · download
Lesson 13 Probability distributions Activity view · download
Lesson 13 Probability distributions Activity solution view · download
Lesson 13 Probability distributions Demo view · download
Lesson 14 Advanced statistics Demo view · download
Lesson 14 Advanced statistics Activity view · download
Lesson 14 Advanced statistics Activity (solution) view · download
Lesson 15 Data wrangling Demo view · download
Lesson 15 Data wrangling Activity view · download
Lesson 16 Feature engineering Activity view · download