There are no further sessions taking place this academic year. Course dates for 2025-26 will be available to book from late September. Python can be used to analyse or create large datasets.

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

Welcome to the Advanced Plotting Application! This powerful and user-friendly application allows you to easily create, customize, and save a variety of different plot types using Python. Whether ...

To complete this course, you will need to run Jupyter Notebook files on your computer. The easiest way to do this is to ensure you have a Google account. This will allow us to use the online Google ...

What is Matplotlib? It’s the de facto standard for creating visualizations—charts, plots, graphs, even animations—with Python. Matplotlib is a comprehensive library for creating static, animated, and ...

We use matplotlib for plotting in python. We also have to convert SymPy matrices to NumPy arrays prior to plotting. Therefore, we prefer to define vectors as NumPy arrays if we intend to just plot ...

We use matplotlib for plotting in python. To have some more control over the coordinate axis we'll use .subplots. The first few lines of code just change the plot from a bounding box to a set of ...