Photo by Pascal Bernardon on Unsplash

In this Repository you can find Jupyter Notebooks that you should work on together as Pair-Programmers.

Please make sure you have forked the repo and set up a new virtual environment.

For this purpose you use following commands:

python -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt

The added requirements file contains all libraries and dependencies we need to execute Pandas and Numpy.

At the end of this repo you should

• understand why Pandas and Numpy are valuable tools for Data Scientists
• be familiar to handle data in Pandas DataFrames and Numpy-Arrays
• know how to combine datasets
• be able to do some EDA on a new dataset
• know how to plot some basic plots for better data understanding

This repo covers:

• Introduction to Pandas
• Practice Pandas functionalities
• Introduction to Pandas visualization
• Practice Pandas functionalities and visualizations
• More Pandas practice and EDA
• Combining DataFrames
• Introduction to Numpy
• Practice Numpy functionalities
• One last exercise :)
• Working with large data
• Dealing with date and time data