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Jupyter notebooks

To reflect the current developments in the use of computing in the scientific community, we have modernised the way in which we use Python! Instead of requiring students to run Python on a command line, all the new learning resources are based on interactive Jupyter notebooks.

Notebook Resources:

Current students can access the Python handbook using their CIS username and account via BLU.

Using python and Jupyter notebooks outside of the notebook server

You can also run python and Jupiter notebooks on your own laptop or computer. To do so you need to install python and Jupyter. The easiest way is to use anaconda (https://www.anaconda.com/distribution/). It is widely used in scientific contexts and there is a lot of help and tutorials available on the web.

Useful Python Links

• Some introductory tasks for beginners
• The Python documentation site
• The "official" Python tutorial
• All you ever wanted to know about NumPy
• The Python Module Index

There are also lots of online Python tutorials for you to find!