Lesson 00 General Resources - adparker/GADSLA_1403 GitHub Wiki

Python and Data Science Resources

The class will be taught with Python 2.7. There's an ecosystem of Python tools we'll be using, listed below.

• Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. This book is a great place to start.

Intro to Python

• Python at Code Academy: Browser-based interactive introduction
• Free E-Book: Python for Informatics: Exploring Information by Charles Sverance -- This is a remix of How to Think Like a Computer Scientist
  • Companion Videos to Python for Informatics
• Free E-Book: How to Think Like a Computer Scientist / Learning with Python by Allen Downey, Jeff Elkner and Chris Meyers

iPython and iPython Notebook

• iPython: A nicer interactive interface for Python
• iPython Notebook: To create Python reports:

Pandas (Python Data Analysis Library)

• Pandas Official Page
• Pandas Video Intro
• Pandas Tutorial by Hernan Rojas

Scikit-Learn (Python Machine Learning Libraries)

• Scikit-Learn: Python Machine Learning Libraries

Code Editors

I mostly use Emacs but am not religious about it. If you're new to writing code, here are some recommended editors:

• Sublime Text version 2 I'm starting to use this myself. Works on Mac / Windows / Linux
• TextMate version 2 Works on Mac only.
• Pycharm version 3 This is a full-blown IDE (integreated development environment), and might be overkill. Works on Mac / Windows / Linux

Cloud-hosted Development Environments (Cloud IDEs)

I have no experience with these, but they look great. All you need is a web browser and you get to develop on a virtual server. You don't need to install any code editors. There are many options here, just Google for "Cloud IDE". To get you started, I've listed two:

• Koding I've used this briefly. You get root access to a virtual Linux server. Also great for collaborating.
• Nitrous.io This is what a several of the General Assembly Web Dev Immersive students are using. I haven't used it myself.

Intro to SQL and NoSQL Technologies

• SQL Zoo Browser-based intro to SQL
• Try MongoDB Browser-based intro to MongoDB
• Try Redis Browser-based intro to Redis