Computer Science Crash Course

Quickly learn the basics of Computer Science and python with Jupyter notebooks.

Content

• I. Introduction to Python
• II. Data Structures
• III. Algorithms
• IV. Exercises
• V. Python Standard Library
• VI. Scientific Computing

Installation

Option 1 (easiest)

Navigate the directory, and open the lesson either:

• in Github or Nbviewer for simple visualization
• in Binder or Google Colab for interactivity

Option 2 (longer and require installation, but allow you to save your changes)

• Download the repository as a ZIP (or clone it)

• Install anaconda

• Launch anaconda and click on Jupyter notebook

• Find the location of the imported repository and launch the notebook