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Data Science in Python

In this repository you can see some very simple examples of doing data science in Python.

At the moment, there are some .ipynb files in here. Some steps you can take to view these files:

  1. Install Python 3.4 using Anaconda: https://www.continuum.io Anaconda ships with scikit-learn, numpy, scipy, etc.
  2. Install Jupyter: conda install jupyter (See https://jupyter.readthedocs.org/en/latest/index.html)
  3. Run the notebook server: jupyter notebook
  4. Create a new Python 3 Notebook in the web app (which runs on 127.0.0.1:8888 by default)
  5. Input some Python statements to play a bit
  6. Type %matplotlib inline if you want plots to show inline (after importing matplotlib.pyplot)

Congratulations! You are doing data science with Python. The site http://ipython.org/notebook.html contains some nice tutorial videos on what you can do now.

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Just playing a bit with Jupyter Notebook and some open data.

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