python-data-science-setup.md

Python for Data Science

Install dependencies

# Leave Python virtual environment
deactivate

# Install Graphviz - Keras dependency
brew install Graphviz

Create a Python virtual environment

# Example using Python 3.10.7
pyenv shell 3.10.7
mkvirtualenv py310
pip install --upgrade pip

Install TensorFlow

TensorFlow is an end-to-end open source platform for machine learning.

# Activate the virtual environment
workon py310

# Install TensorFlow
if [[ "$(/usr/bin/uname -m)" == "arm64" ]]; then
    # ARM macOS https://developer.apple.com/metal/tensorflow-plugin
    pip install tensorflow-macos
    pip install tensorflow-metal
else
    # Intel macOS
    pip install tensorflow
fi

Install Keras

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.

# Activate the virtual environment
workon py310

# Install Keras
pip install h5py pydot keras

Install Python scientific libraires

# Activate the virtual environment
workon py310

# Install libraries
pip install numpy \
            pandas \
            scipy \
            pillow \
            scikit-learn \
            scikit-image \
            sk-video

Install basic libraires

# Activate the virtual environment
workon py310

# Install libraries
pip install autopep8 \
            Cython \
            ipykernel \
            progressbar2 \
            pydocstyle \
            pylint \
            pytest \
            requests \
            markdown

Install Matplotlib

# Activate the virtual environment
workon py310

# Install Matplotlib
pip install ipympl matplotlib

# Fix Matplotlib backend
mkdir -p "${HOME}/.config/matplotlib"
echo "backend : TkAgg" > "${HOME}/.config/matplotlib/matplotlibrc"

Install Jupyter Lab

1. Install Node

   # Leave Python virtual environment
   deactivate
   
   # Install Node
   brew install node

2. Install Jupyter Lab

   # Activate Python environment
   workon py310
   
   # Install Jupyterlab
   pip install jupyterlab jupyterlab_widgets ipywidgets

3. Install Jupyter Lab extensions

   # Activate Python environment
   workon py310
   
   # Install extensions
   pip install tensorboard jupyter-tensorboard jupytext
   
   # Check extensions status
   jupyter labextension list