Week 2

Algèbre relationnelle et SQL

Important

• Room: Sophie Germain 0014
• Friday 24 January 2025 15h45-17h45
• Calendar

Lecture : slides

We shall briefly come back to several parts of

• Python Data Science Stack

  • Data processing
  • Visualization

Notebooks

You shall have gone through (on your own)

• Jupyter notebook I : tour of Python
• html: tour of Python

You shall have gone through

• Jupyter notebook II : tour of numpy
• html: tour of numpy

up to Section Sparse Matrices (not included)

We shall spend most of the lecture on

• Jupyter notebook III : tour of pandas
• html: tour of Pandas

References

You can watch the Introduction to NumPy conference presented at EuroSciPy 2023

The Pandas book by Wes McKinney

Pandas exercises on Kaggle

Contenders to Pandas are gaining attention: Polars

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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