A monorepo consists of several Jupyter notebooks to learn Python

To run the code, you need the packages numpy, scipy, scikit-learn, matplotlib, pandas and pillow. Some of the visualizations of decision trees and neural networks structures also require graphviz. The chapter on text processing also requires nltk and spacy.

The easiest way to set up an environment is by installing Anaconda.

If you already have a Python environment set up, and you are using the conda package manager, you can get all packages by running

conda install numpy scipy scikit-learn matplotlib pandas pillow graphviz python-graphviz

For the chapter on text processing you also need to install nltk and spacy:

conda install nltk spacy

If you already have a Python environment and are using pip to install packages, you need to run

pip install numpy scipy scikit-learn matplotlib pandas pillow graphviz

You also need to install the graphiz C-library, which is easiest using a package manager. If you are using OS X and homebrew, you can brew install graphviz. If you are on Ubuntu or debian, you can apt-get install graphviz. Installing graphviz on Windows can be tricky and using conda / anaconda is recommended. For the chapter on text processing you also need to install nltk and spacy:

pip install nltk spacy

For the text processing chapter, you need to download the English language model for spacy using

python -m spacy download en