qbeast-spark

(β˜… 233)

Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!

  • .gitignore
  • .scalafix.conf
  • .scalafmt.conf
  • build.sbt
  • CODE_OF_CONDUCT.md
  • CONTRIBUTING.md
  • LICENSE
  • NOTICE
  • README.md

# Installation Guide

1. Get the code
git clone https://github.com/Qbeast-io/qbeast-spark

Downloads the entire project code from GitHub to your computer.

cd qbeast-spark

Moves into the project folder you just downloaded.

2. Python

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
⚠️ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
pip install .

Installs the package published on PyPI directly β€” no need to clone the source.

jupyter notebook

Launches Jupyter in your browser so you can open and run the notebook (.ipynb) files.

βœ… If it runs without errors and prints output in the terminal, it worked.
// repository documentation