Complete Introduction to Pandas

This lesson is a series of jupyter notebooks to learn the basic skills of working with python pandas.

This lesson convers basic to intermidiate topics such:

1. Creating and accessing Dataframes
2. Reading and writing data files
3. Pandas advacned selectors
4. Transformations via .map() and .apply() methods
5. Schema manipulation techniques
6. Aggregations and joins
7. Advanced I/O: writing to Google BigQuery

Step-by-Step Guide

For step-by-step guide please refer to our blog post.

Pre-requisites

You must have python3.7 installed on your system.

The installation script (install_jupyter.sh) takes care of all the rest.

Getting Started:

1. Clone the git project:

   git clone https://github.com/turalabs/pandas-intro.git

2. Make sure you have python3.7 install and run the installation script:

   ./install_jupyter.sh

3. Follow complete step-by-step guide on our blog post.