We will use Jupyter Notebooks running a Python 3+ kernel for the Lab Sessions.

You can access the environment required in different ways.

You can install Anaconda in your local computer and then launch Jupyter Notebook using the Anaconda Navigator. The Anaconda distribution contains all the Python libraries that we will use in this module (e.g. Pandas, NumPy, SciPy, Matplotlib, Pytorch, etc).

If you are a Linux or MacOS user, you can open a Jupyter Notebook by typing on your terminal

jupyter notebook Lab 1 - Probability and Introduction to Jupyter Notebooks.ipynb

The University of Sheffield has a remote desktop service that you can use. The remote desktops have Anaconda already installed. Once you connect to the remote desktop, use the Anaconda Navigator to open a Jupyter Notebook. If you connect to a Linux computer, you can open Jupyter Notebook using the terminal as explained in Option 1.

You can run the Jupyter Notebooks directly on Binder. Click on the logo

Notice that Binder takes some time starting the server where the notebook will be running. Also, it might get slow when there are a lot of users accessing simultaneously.