Playing with Pandas

Lets get our hands dirty with some exploratory data analytics with Pandas!

Things we will learn or touch on

• Pandas
• Plotting Libraries
• Interactive Python Environment - Jupyter Notebook
• Useful data analytics techniques
• Sklearn and Basic machine learning
• Exporting models for web frameworks

What is a Jupyter Notebook?

see Jupyter

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

Installing Dependencies

1. Install Python
2. Install Pip, a Python Package Manager (https://pip.pypa.io/en/stable/installing/)
3. Optional Steps:

• Install Virtualenv using pip install virtualenv
• Install Virtualenvwrapper (http://virtualenvwrapper.readthedocs.io)
• Run mkvirtualenv pandas-intro

4. Run pip install -r requirements.txt

What are you waiting for?

Clone this repository and play around with it :)