Contains the material for the introduction to data analysis in Python taught at Harvard and Northwestern in Spring 2021. It provides a crash-course about numpy (scipy), pandas and matplotlib.
If you would like to run the code on your local machine, the easiest way is to create a conda
environment for this workshop. After installing conda, you can download the notebooks (or git pull
this repository) and, then, type in your terminal:
conda install -n tools -c conda-forge numpy scipy matplotlib pandas jupyter
conda activate tools
jupyter notebook
You can run the notebooks online. To run the notebooks on Google Colab:
To open the entire repository on an online instance of Jupyter Notebook you can clik on the Binder badge:
You can find the solutions to the exercises in the following links:
To see how the solutions work, you will have to copy paste the code in the original notebooks of the first / second part.