Classes

For the course

For more detailed informations on what is seen in this course, we refer you to the following book, that can easily be found online :

Wes Mckinney - Python for Data Analysis, 2nd edition - O'Reilly 2017

About the exercises

For some exercises you will have to use Jupyter Notebook. You shouldn't have to install anything more is you followed the installation guidelines as it is part of the Anaconda distribution. It should appear in your Windows start menu when you look for it.
Once you click on it, a tab will be opened in your browser, showing your computer folder and files. From there, find the .ipynb (jupyter notebook extension) file you need to open and click on it to open it.

Extra material

The github that comes with the book "Python for Data Analysis" by Wes McKinney contains the notebooks with the book's exercises.

Sessions

	Slides	Exercises	Videos
Session 1	Intro & Python Basics	Basic Python	Video
Session 2	-	Advanced Lists	Video
Session 3	Python Basics 2	Data Structures	Video
Session 4	NumPy Plotting & Visualization	NumPy & Matplotlib	Video
Session 5	Pandas	PandasBasics	Video
Session 6	Files	FilesBasics	Video

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Last Updated : 02/06/2021

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