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Welcome to the Getting-Started-With-Python-and-Data-Science wiki!

Python

Intro to Python (WIP)

Getting started in Data Science

Data Science involves skills in many areas:

• Math and Statistics
• Problem formulation
• Data visualization
• Data cleaning
• Data manipulation
• Data modeling
• Interpreting and communicating results

Quick Start Guide

1. Install Anaconda
2. Start Jupyter notebook
3. Download data for Titanic Dataset on Kaggle
4. Follow one of the tutorials

Ultra quick start (no local installation)

1. Create a kaggle account (free)
2. Create a new kernel for the Titanic dataset

Setting up your Python environment

Anaconda - A great way to get most of the scientific computing libraries you will need is to install the Anaconda Python distribution from Continuum Analytics. This free distribution comes with 100s of the most commonly used Python libraries that you will come across while learning Data Science.

Docker images

NumFocus
Common Python package

Kaggle