Welcome to our third workshop in Data Science with Python series! In this workshop we start to introduce our third Python package called Matplotlib. Packages often contain a lot of useful in-built functions. Matplotlib allows you to create many type of visualisations.

Author: Tania Turdean, Science Executive, UCL Data Science Society ([email protected])
Proudly presented by the UCL Data Science Society

• Install Anaconda:

For Windows use: https://repo.anaconda.com/archive/Anaconda3-2020.07-Windows-x86_64.exe
For MacOS use: https://repo.anaconda.com/archive/Anaconda3-2020.07-MacOSX-x86_64.pkg

• Run this code in a code cell in the Jupyter Notebook to intall Matplotlib library:

!conda install matplotlib.pyplot

├── DS03 - Data Science with Python: Matplotlib
│   ├── Coronadata30_31mareu_usa.xlsx
│   ├── finaltimeline.xlsx
│   ├── README.md
│   ├── KinEnergy1.txt
│   ├── problem.ipynb
│   ├── solution.ipynb
    └── workshop.ipynb