This workshop will give a basic introduction to the numerical and data analysis tools available in Python, particularly focusing on:

Pandas for time-series analysis,
NumPy for fast numerical calculations on large data sets
and Matplotlib for publication-quality graphs and plots.

It will also introduce the Jupyter Notebook as a way of interleaving prose with your code as a form of 'literate programming'.

Prerequisites: This workshop will be based on Python and you should already have a good working knowledge of Python or have completed the 'Beginning Python' and 'Intermediate Python' courses.

You will need to have Anaconda Python 3.7 already installed.

https://www.anaconda.com/distribution/

Location: online

Important Notes:

This event is only open to University of Bristol staff and students, please register with your University of Bristol email address. Bookings made with other email addresses will be cancelled.

These workshops always have waiting lists so please cancel in advance (via Eventbrite) if you are unable to attend.

Intro to Data Analysis with Python (Spring 2020) (3) online