IS&T RCS Tutorial - Data Visualization in Python

Python is one of the most popular programming languages for data analysis, data mining, and machine learning applications. In this tutorial we will introduce the following powerful Python plotting/visualization packages: Matplotlib Seaborn Plotly This tutorial will explore the many useful functions of these packages by doing hands-on exercises on some real data sets. Python programming experience is advised. This tutorial will introduce and use the popular Jupyter Notebook system for working with Python code. We will briefly introduce the pandas library for data preprocessing but strongly recommend that you have prior experience using Pandas. If you do not have Python installed on your computer, please read and follow these instructions prior to attending the tutorial. A conda environment file with the required packages and instructions for activation will be provided prior to the session. This environment will need to be installed and activated if you plan to work with your own machine.