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Python weekly assignment for "Laboratory of Computational Physics" course - 2023 - UniPD

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Laboratory of Computational Physics (mod. A)

This is the official repository of the course, and contains the Jupyter Notebooks guiding students through the world of data analysis with python.

This repo should be forked by each individual student.

Git instructions are provided in the dedicated README files in the repo.

IPython notebooks instructions and tips

Notebooks are extremely powerful tools, you may find useful to discover some of their functionalities on this tutorial page or by checking these tips list

Git instructions

To begin with, you need to have a GitHub account. If you don't already have one, go to github and sign up. Follow instructions on the screen. Tip: use a reasonable username that resembles your actual name.

Once you have your github account, fork this repository clicking on the top-right button Fork.

Generate your Token on GitHub following this guide. Copy the token to a safe place. Remember you can see it only the first time, otherwise if you lose it you have to create another one.

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Python weekly assignment for "Laboratory of Computational Physics" course - 2023 - UniPD

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