To run the tutorials of this course, you will need to have python3 installed. The easiest way to install python on any platforms is via the conda installation manager. This will also allow you to install spyder, which is a great Python editor (similar to RStudio for R).
Install the Python3 version of miniconda: https://docs.conda.io/en/latest/miniconda.html
Once miniconda or anaconda is installed you can access it via the command line. If you are using macos or linux you can just open your Terminal app. If you are a windows user you need to use the specific conda powershell that was installed with your miniconda installation (in case you can’t find it after installing miniconda, it could be that you have to download all of anaconda instead, which you can do here: https://www.anaconda.com/products/individual).
Once you are in your terminal or conda powershell execute the following command:
conda create -n ggbc_course python (press y when you are asked to do so)
This will create a new environment named ‘ggbc_course’ where python is installed. You can connect to it using:
conda activate ggbc_course
and disconnect from it with:
conda deactivate
When connected to the virutal environment you can run python by just typing python into the command line.
To install spyder (python editor) run the following command, while connected to the ggbc_course environment:
conda install spyder
Once it's finished, open spyder by just typing spyder into your command line.
Tutorial 1 - Python introduction
Tutorial 2 - Reading data and plotting
Tutorial 3 - Creating functions and python programs (on the example of DNA data processing)
Tutorial 6 - Statistical models
In case the tutorial links don't work or don't properly compile, you can open the tutorials as pre-compiled pdf versions here (not as pretty, but reliable to work).