Lagou Tutorial on Data Science in Python

Author: Fido Wong

This repository contain files and other info associated with Lagou Data Science Introduction Tutorial on python.

To open notebooks in IPython, download the files to a directory on your computer and from that directory run:

$ ipython notebook

This will open a new page in your browser with a list of the available notebooks.

A previous introduction by Rong in Python Programming can be found in https:/ghostrong/idiomatic_python

Installation Notes

This tutorial requires the following packages:

• Python version 2.6-2.7 or 3.3-3.4
• numpy version 1.5 or later: http://www.numpy.org/
• scipy version 0.10 or later: http://www.scipy.org/
• pandas version 0.17.0 or later: http://pandas.pydata.org/
• matplotlib version 1.3 or later: http://matplotlib.org/
• scikit-learn version 0.14 or later: http://scikit-learn.org
• ipython version 2.0 or later, with notebook support: http://ipython.org
• seaborn version 0.5 or later: http://web.stanford.edu/~mwaskom/software/seaborn/

The easiest way to get these is to use the conda environment manager. I suggest downloading and installing miniconda.

Once miniconda is installed, the following command will install all required packages in your Python environment:

$ conda install numpy pandas scipy matplotlib scikit-learn ipython-notebook seaborn

Alternatively, you can download and install the (very large) Anaconda software distribution, found at https://store.continuum.io/.

Downloading the Tutorial Materials

Downloading of the materials is highly recommended by using git.
Once git is installed, you can clone the material in this tutorial by using the git address shown above:

$ git clone git:/popfido/tutorial_lagou

If you can't or don't want to install git, there is a link above to download the contents of this repository as a zip file. Further changes would be making since I may have new idea on its content.

Reference

This tutorial is partially referred from sklearn-tutorial, PyCon 2015