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4. Introduction to pandas and matplotlib - Necla Mutlu - 20.04.2020

This workshop introduces to important data science libraries in python: Pandas and Matplotlib with a case study.

Case Study

You'll examine US Covid-19 data by using tools provided by pandas and matplotlib packages. Kaggle US Counties Covid-19 Dataset

What you'll need

You'll need basic Python knowledge.

Installations

You will need Python 3.6+, Jupyter Notebook, pandas and matplotlib packages. To install python packages we'll use the pip. Pip is already installed in Python.

Run $ pip install jupyter notebook to install Jupyter Notebook.

Run $ pip install pandas to install pandas.

Run $ pip install matplotlib to install matplotlib.

Open Jupyter Notebook

After install the Jupyter Notebook:

To open a new notebook:

Run $ jupyter notebook

Presentation

Presentation Link

Case Study Notebook

Summary

This workshop aims to show how Python can be used for data science. In this workshop, we will examine the USA Covid-19 data with the tools provided by pandas and matplotlib packages.

Links