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 ...

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 ...

OncoPrint, the plot to visualize an overview of genetic variants in sequencing data, has been widely used in the field of cancer genomics. However, still, there have been no Python libraries capable ...

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 ...

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.