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CPII_Emmy_Noether

I just copied the README-file from the StatPhys2022 course, and changed it a bit. You will probably recognize this once you have your first tutorial in that course.

Humboldt Universität zu Berlin - Computational Physics II WS2023/2024 (Prof. Dr. Agostino Patella)

Getting started

0. Clone and update this repository

To get all data included in this repository, open a terminal, navigate to the directory you want to work in and execute

git clone https://github.com/idawoestheinrich/CPII_Emmy_Noether.git

This will create a directory CPII_Emmy_Noether in the current directory.
You can do cd CPII_Emmy_Noether to change to that directory. If you do pwd, you should get the current directory: ...\CPII_Emmy_Noether.
Any updates that will be posted can be downloaded by running

git pull

For the Linux/OSX users, it is best to use the git command lines to submit your code.

Change directories to the \submissions folder

You can do it in this order:

  • git pull to pull any new changes from the repo.
  • git add (file name here) to add a file change to be committed. Make sure you include the whole file name, including the .ipynb bit for notebooks.
  • git commit -m "message here" to commit a change. Please enter a simple message here to describe what you're doing.
  • git push to push the commit to the repo.

For Windows users (and Unix users who do not like command lines...), see Desktop Github: https://desktop.github.com.

1. Installing Python / conda

Python is the programming language we will be using. If you're not familiar with Python basics there are plenty of introductions, see e.g. https://www.learnpython.org.

If you do not have a Python instance set up on your computer, we recommend installing conda. conda does not only provide the interpreter for Python but is also a package manager, that allows to easily install ad-on packages that we will need. You can find more info here: https://docs.conda.io/projects/conda/en/latest/index.html
We recommend installing the lightweight conda called Miniconda: https://docs.conda.io/en/latest/miniconda.html



### 2. Installing packages separately

You can install all packages via `pip`. The packages you can start with are `numpy`, `matplotlib`, `jupyterlab`, `scipy`, `pandas`, and `astropy`.
Make sure your environment is activated and execute

pip install 



### 3. Running `jupyter`

The `jupyter notebook` is an interface to the interactive `python` called `IPython`. 
Notebook files have the file extension `.ipynb`. To start it, activate your environment (if you haven't already) and run

jupyter notebook


This opens the `jupyter notebook` webpage in your browser. You can now browse for a Notebook file in the file browser on the left
and open it via double click.