https://github.com/pnavaro/big-data

Python tools for big data
https://github.com/pnavaro/big-data

dask data-science hadoop jupyter-book notebooks python spark

Last synced: 13 days ago
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Python tools for big data

• Host: GitHub
• URL: https://github.com/pnavaro/big-data
• Owner: pnavaro
• Created: 2019-09-09T19:52:16.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-10-09T08:37:59.000Z (about 1 year ago)
• Last Synced: 2024-07-03T04:31:49.095Z (4 months ago)
• Topics: dask, data-science, hadoop, jupyter-book, notebooks, python, spark
• Language: Jupyter Notebook
• Homepage: https://pnavaro.github.io/big-data
• Size: 167 MB
• Stars: 50
• Watchers: 5
• Forks: 30
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Parallel Computing with Python

Notebooks for [Master for Smart Data Science ENSAI Rennes](https://ensai.fr/en/2-cursus/msc-statistics-for-smart-data/)

[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/pnavaro/big-data/master)

[![JupyterBook](https://github.com/pnavaro/big-data//workflows/book/badge.svg)](https://github.com/pnavaro/big-data/actions/)

- [Website](https://pnavaro.github.io/big-data) generated with [jupyterbook](https://jupyterbook.org).

- [Website](https://pnavaro.github.io/big-data/quarto/intro.html) generated with [quarto](https://quarto.org).

The content of these notebooks are made thanks to these [references](https://pnavaro.github.io/big-data/intro.html).

## Run Jupyter notebooks with docker

### Get docker app

 - [Mac](https://www.docker.com/docker-mac)

 - [Windows](https://www.docker.com/docker-windows)

 - [Linux](https://runnable.com/docker/install-docker-on-linux)

You can run these notebooks with Docker. The following command starts a container with the Notebook 

server listening for HTTP connections on port 8888 and 4040 without authentication configured.

```

git clone https://github.com/pnavaro/big-data.git

docker run --rm -v $PWD/big-data:/home/jovyan/ -p 8888:8888 -p 4040:4040 pnavaro/big-data

```


This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.