Computer Science – Further Computing

_{^{© Martin Grandjean (CC BY-SA 3.0)}}

In this module, we will cover the basics of four topics:

1. Scientific Computing,
2. Data Wrangling,
3. Data Visualization,
4. Machine Learning.

We will do this by working directly with tools of the industry. We’ll use Python and Jupyter notebooks to look at four Python packages that cover the four topics above:

• NumPy,
• pandas,
• Matplotlib,
• scikit-learn.

---

Important Module Information:

• Basic module information – the basics.
• Jupyter Notebooks – a GitHub repository where anyone (even without a GitHub account) can download the relevant files.
  • zip file containing all the notebooks so far (directly from GitHub).
• Canvas Page

---