This directory includes material for the course Experimental Cosmology at the Humboldt University Berlin.
All of the exercises require a working Python instance. It's recommended to use conda to set up a virtual
environment in which you can install the required Python packages.
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/JannisNe/ExperimentalCosmology_WS22-23_private.git
This will create a directory ExperimentalCosmology_WS22-23_private in the current directory.
Any updates that will be posted can be downloaded by simply executing
git pull
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
Having installed conda you can set up a virtual environment that acts as a closed of programming environment and does
not interfere with any other programing projects. All info for the environment is contained in env.yml.
In your terminal type
conda env create -f env.yml
If for some reason this does not work you can set up an empty environment with
conda create --name experimental_cosmology python==3.10
You will have to install the packages manually as described in 5.
To activate the environment type
conda activate experimental_cosmology
If you want to leave the environment do
conda deactivate
If you successfully created the environment from env.yml, all packages are installed and you do not need to do
anything else.
If you set up an empty environment in step 2. (or you prefered a different way of setting up an environment),
you can install all packages via pip.
All info about packages that are required for this course is located in requirements.txt.
Make sure your environment is activated and execute
pip install -r requirements.txt
The jupyter notebook is an interface to the interactive python called IPython.
Notebook files have the file extension .ipynb. The jupyter lab allows you to view files, open terminals and
run several Notebooks. To start it, activate your environment (if you haven't already) and run
jupyter lab
This opens the jupyter lab in your browser. You can now browse for a Notebook file in the file browser on the left
and open it via double click.