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://github.com/ghostrong/idiomatic_python
This tutorial requires the following packages:
- Python version 2.6-2.7 or 3.3-3.4
numpyversion 1.5 or later: http://www.numpy.org/scipyversion 0.10 or later: http://www.scipy.org/pandasversion 0.17.0 or later: http://pandas.pydata.org/matplotlibversion 1.3 or later: http://matplotlib.org/scikit-learnversion 0.14 or later: http://scikit-learn.orgipythonversion 2.0 or later, with notebook support: http://ipython.orgseabornversion 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 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://github.com/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.
This tutorial is partially referred from sklearn-tutorial, PyCon 2015