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Parallel Computing with Python — Python tools for Big data

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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. Python for Data Analysis by Wes McKinney. Python Data Science Handbook by Jake VanderPlas Pandas. Dask PySpark Apache Arrow Parquet GCSFS Dask.distributed fastparquet Python Analyzing and Manipulating Data with Pandas Beginner: SciPy 2016 Tutorial by Jonathan Rocher. Dask Dask Examples Parallel Data Analysis with Dask Dask tutorial at PyCon 2018 by Tom Augspurger. Parallelizing Scientific Python with Dask SciPy 2018 Tutorial by James Crist and Martin Durant Parallelizing Scientific Python with Dask, SciPy 2017 Tutorial by James Crist. Parallel Python: Analyzing Large Datasets Intermediate, SciPy 2016 Tutorial by Matthew Rocklin. Parallel Data Analysis in Python, SciPy 2017 Tutorial by Matthew Rocklin, Ben Zaitlen & Aron Ahmadia. Matthew Rocklin - Streaming Processing with Dask Jacob Tomlinson -

Parallel Computing with Python# This course is being taught at as part of Master For Smart Data Science ENSAI Rennes. Run Jupyter notebooks with docker# Get docker app# Mac Windows 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 References# Books# Python for Data Analysis by Wes McKinney.…

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