Python Data Science Study

Finally, I have some reason to study this. I had been using R sporadically, but a lot of less advanced work is done in Python. I am not advanced, nor intermediate, nor even really a beginner at stats… so R is too much power for me 🙂

This is a pathfinder about learning the data science stack. The basics go something like this:

  1. Start off by learning basic Python.
  2. Learn NumPy. NumPy provides advanced array support, making them more manipulable, and it feels almost like using a database, or R.
  3. Learn Pandas. Pandas is built atop NumPy. It’s a data analysis and visualization environment.

NumPy

NumPy User Guide – the official docs