kripnerl / fbmi-python-course

Python Course for FBMI 2023

Based on https://github.com/HiLASEPythonCourse/hilase-python-course-2021

Authors

• Jan Pipek
• Jakub Urban

Installation

In principle, it is enough to have a recent Python version with required libraries installed but unless you are completely sure what you are doing, we recommend to follow the guide-lines in the following notebook:

• Installation

Back-up solution: After free registration, you may start an interactive on-line environment on DeepNote that has all the dependencies installed:

• Create a DeepNote project

Links

Czech Python community (in Czech)

• python.cz
• Learning

Official documentation

• Python documentation
• NumPy documentation
• and in particular: NumPy for MATLAB users
• Pandas documentation

Tutorials

• RealPython - server with a lot of nice tutorials

Datasets

• notebook/data/us-cities.csv - downloaded from https://github.com/kelvins/US-Cities-Database (MIT license)
• notebook/data/us-cities-with-population.csv - downloaded from https://github.com/plotly/datasets/blob/master/us-cities-top-1k.csv (MIT License)