Scientific Programming | Chapter 2 : Data Handling and Data Visualisation
Hello Learners and Welcome Back to the Second chapter of our summer adventure.
In our Summer Journey, we want you to explore very hot topics in our days. We will go through Reinforcement Learning, Data for Global Warming, fake news e social network analysis.
In this tutorial we will explore global environment and we will do this using our beloved python and its libraries for data analysis.
This tutorial is divided in two part: Data Handling and Data Visualisation
In the first part you will learn how to deal with datasets using Pandas (https://pandas.pydata.org/), a very famous library which is the base of everything. If you want to be a data scientist you need to know pandas.
In the second part you will be guided from the basis of data visualisation (Matplotlib, https://matplotlib.org/), passing from the intermediate level (Seaborn, https://seaborn.pydata.org/) to very end interactive implementation (Plotly, https://plot.ly/).
You will find the notebook on our github:
https://github.com/MLJCUnito/Tensorshow/tree/master/SummerAdventure
Hope you’ll enjoy, I remind you to stay focused and to stay tuned for other updates coming.
Francesco,MLJC
P.S. If you find any bug / error or you have some problems with the code feel free to contact us at mljcunito@gmail.com
