Week 3

Pandas/Dask

Important

• Room: Sophie Germain 0014
• Friday 31 January 2025 15h45-17h45
• Calendar

Lecture : slides

• Dask

We shall briefly come back to several parts of

• Python Data Science Stack

  • Data processing
  • Visualization

Notebooks

We shall spend most of the lecture on

Dask Tutorial

You shall have gone through (on your own)

• Jupyter notebook I : tour of Python
• html: tour of Python
  
• Jupyter notebook II : tour of numpy
• html: tour of numpy
  
• Jupyter notebook III: tour of pandas
• html: tour of Pandas

References

• Dask Docs

• Dask Examples

• Dask Code

• Dask Blog

• Pandas cheatsheet

Logistics

To work the jupyter notebooks, install python 3, and modules related to jupyter: jupyter-cache, jupyter_client, jupyter_core, jupyterlab_widgets (this induces the installation of dependencies).

https://jupyter.org

Download the jupyter notebooks from notebooks listings.

If you do not already have an ENT account, follow instructions on Moodle to get one. You shall need this account to connect to PostGres cluster.

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