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:
- Start off by learning basic Python.
- Learn NumPy. NumPy provides advanced array support, making them more manipulable, and it feels almost like using a database, or R.
- Learn Pandas. Pandas is built atop NumPy. It’s a data analysis and visualization environment.
NumPy
NumPy User Guide – the official docs
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