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 ...

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.

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 ...

A selection of books and book chapters that describe the uses and techniques of graphical data analysis: Janert, P. K. (2011), Data Analysis with Open Source Tools, is my preferred book for teaching ...

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 ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...