Introduction to Python for Analytics

Key Notebooks

1. Learn the basics
2. Project exercises / answers

Purpose

Learning objectives

• Understand data wrangling architecture that leverages Python and Jupyter Notebooks
• Be able to perform basic data wrangling

Pre-requisites

• Exposure to basic computer science concepts
• Some experience writing code
• Basic understanding of Python

Pre-work

Install Docker

Follow these instructions on the Docker website.

NOTE you may have to have IT enable virtualization in your system BIOS for Docker to work correctly.

Get the Source Code

Create a Github account.

Install git.

Clone this Github repository:

git clone https://github.com/maxmelnick/analytics-python-intro.git

Start and access Jupyter Notebook

# change directories to the project root
cd analytics-python-intro

# use docker to start Jupyter
docker-compose up -d

# view docker logs to get the url to access Jupyter
docker logs

Architecture Overview

Python

Why Python?

Alternatives to Python?

Jupyter Notebook

Why Jupyter Notebooks?

Alternatives to Jupyter Notebooks?

Docker

Why Docker?

Alternatives to Docker?