Introduction to the Blaze ecosystem

The Blaze Ecosystem provides Python users high-level access to efficient computation on inconveniently large data. Blaze can refer to both a particular library as well as an ecosystem of related projects that have spun off of Blaze development.
- Blaze documentation

Running the notebook:

• Clone the repo.
  git clone https://github.com/analyticalmonk/blaze_getting_started
• Change into the repo’s directory.
  cd blaze_getting_started
• Install the requirements.
  pip install -r requirements.txt
  Alternatively, you can create a conda environment using the environment.yml file in the repo.
  conda env create -f environment.yml
• Start the notebook.
  jupyter notebook kmeans_elbow.ipynb

If you are new to Jupyter notebooks, check out the official Quick Start Guide.

Credits:

Most of the content in this notebook has been taken or adapted from the talk: Christine Doig - Scale your data, not your process: Welcome to the Blaze Ecosystem.
Shoutout to Christine Doig for the great talk and Continuum Analytics for their amazing contributions towards the PyData ecosystem.