An introduction to solving biological problems with Python - course materials

Materials for the course run by the Graduate School of Life Sciences, University of Cambridge.

• Course website: http://alanwilter.github.io/pycam/

If you wish to run the course on your personal computer, here are the steps to follow to get up and running.

Clone this github project

git clone https://github.com/alanwilter/python-basic.git
cd python-basic

Dependencies

Install Python 3 by downloading the latest version from https://www.python.org/.

Python 2.x is legacy, Python 3.x is the present and future of the language.

Create first a virtual environment using the venv library. Update pip if needed, install jupyter and RISE to get a slideshow extension into jupyter.

Note A virtual environment is a Python environment such that the Python interpreter, libraries and scripts installed into it are isolated from those installed in other virtual environments.

python3 -m venv venv
# activate your virtual environment
source venv/bin/activate
# update pip if needed
pip install --upgrade pip
# install jupyter
pip install jupyter

# slideshow extension (optional, but nice to have it)
pip install rise
jupyter-nbextension install rise --py --sys-prefix
jupyter nbextension enable rise --py --sys-prefix

Usage

Go to the directory where you've cloned this repository, activate your virtual environment and run jupyter.

Your web browser should automatically open with this url http://localhost:8888/tree where you see the directory tree of the course with all the jupyter notebooks.

# cd python-basic
# source venv/bin/activate

jupyter notebook

To shutdown jupyter, type ctrl-C into the terminal you've ran jupyter notebook, answer y and press enter.

You may wish to deactivate the virtual environment, by entering into the terminal:

deactivate