This repo contains several Python tutorials for data analysis tasks.

##General Stuff
- [Quick Reference to Python](http://www.dataschool.io/python-quick-reference/)
- [**awesome-python**](https://github.com/vinta/awesome-python)
- [Pycon India 2015 Notes](http://www.analyticsvidhya.com/blog/2015/10/notes-impressions-experience-excitement-pycon-india-2015/)
- [Data Exploration with Numpy cheat sheet](http://www.analyticsvidhya.com/blog/2015/07/11-steps-perform-data-analysis-pandas-python)
- [NLP](http://www.datasciencecentral.com/profiles/blogs/python-nlp-tools)
- [Querying Craiglist with Python](http://chrisholdgraf.com/querying-craigslist-with-python/?imm_mid=0d8940&cmp=em-data-na-na-newsltr_20150916)
- [Create NBA Shot Charts](http://savvastjortjoglou.com/nba-shot-sharts.html)

##scikit-learn
- [Awesome Tutorials!](http://blog.kaggle.com/author/kevin-markham/)
- [sklearn_scipy2013](https://github.com/jakevdp/sklearn_scipy2013)

##Machine Learning
- [Machine Learning with scikit learn](http://www.dataschool.io/machine-learning-with-scikit-learn/)
- [Cheatsheet](http://www.analyticsvidhya.com/blog/2015/09/full-cheatsheet-machine-learning-algorithms/)

##Linear Regression
- [Linear Regression in Python](http://nbviewer.ipython.org/github/justmarkham/DAT4/blob/master/notebooks/08_linear_regression.ipynb), [Blog Post](http://www.dataschool.io/linear-regression-in-python/)

##Logistic Regression
- [Logistic Regression with scikit learn](http://www.dataschool.io/logistic-regression-in-python-using-scikit-learn/)

##Neural Networks
- [Implementing a Neural Network from scratch](http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/), [Code](https://github.com/dennybritz/nn-from-scratch)
- [Speeding up your Neural Network with Theano and the gpu](http://www.wildml.com/2015/09/speeding-up-your-neural-network-with-theano-and-the-gpu/), [Code](https://github.com/dennybritz/nn-theano)
- [Recurrent Neural Net Tutorial Part 1](http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/), [Part 2] (http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/), [Code](https://github.com/dennybritz/rnn-tutorial-rnnlm/)