This course can also be completed through self-study from this repository. To do this, you will need to run the Jupyter Notebooks on your computer. These should be studied in numerical order. You ...

Matplotlib is one of the most popular and flexible function libraries for data visualization in use today. This crash course is meant to summarize and compliment the official documentation, but you ...

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 ...

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 ...

Abstract: Inefficient energy consumption is a global issue, with domestic energy usage rising consistently in the Ludhiana district of Punjab, India, due to population growth and lack of awareness ...

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.