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Resources

Python itself has good documentation and a decent getting started page here.
Python gives a list of good tutorials here. Many are focused on people with no programming background, but two that seem a bit less introductory are the Python in 10 minutes tutorial, and Google's Python class.
There is a Coursera course on Python running from Jan 9, 2016 through Feb 20, 2016.
I tend to find it easiest to learn languages with some application in mind, so I learned python using the Intro to NLP in Python. Highly recommend as a great way to learn two very useful skills at once!
Here's a guide on installing IPython.
You can also use the Installation Guide for the standard Linux (Ubuntu) VM.

Boto, a Python library for MTurk’s API. There is decent (although not perfect) documentation here and a good tutorial available here.
Scikit-learn is an amazingly easy library for doing machine learning in Python. It is also wonderfully verbosely documented with tons of examples.
Kaggle has some tutorials on sklearn
NLTK is a great library for doing natural language processing in Python.
spaCy is another NLP library in Python
Python client for the CrowdFlower API. There’s a tutorial on the People Pattern blog.
Seaborn: statistical data visualization in Python

Microsoft's Project Oxford APIs. These APIs include functions for computer vision, face recognition, speech recognition and generation.
Google Knowledge Graph Search APIs
Google Maps Geocoding API
Probability Tutorial from Peter Norvig
EM Tutorial from Dirk Hovy

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