This repository contains a collection of materials for learning Python 3 (3.5+) and is a pre-requisite for the Isatis Business Solutions Summer School: Python for Data Science.
For beginners we recommend to use both:
Follow the steps for Anaconda Navigator under installation. You can then install JupyterLab using the Anaconda navigator UI.
If you're running into trouble, let us know in the Slack channel!
If you're familiar with the command line, feel free to use conda:
Make sure to work through each of the following notebooks and exercises. To open and edit the notebooks, load them into JupyterLab.
- Strings [notebook] [exercise]
- Numbers [notebook] [exercise]
- Conditionals [notebook] [exercise]
- Lists [notebook] [exercise]
- Dictionaries [notebook] [exercise]
- For loops [notebook] [exercise]
- Functions [notebook] [exercise]