Update README.md

Author: ujjwalkarn

README.md

@@ -23,6 +23,7 @@ This repo contains several Python tutorials for data analysis tasks.
 ##Data Science with Python
 - [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/)
+- [**5 important Python Data Science advancements of 2015**](https://medium.com/@elgehelge/the-5-most-important-python-data-science-advancements-of-2015-a136482da89b#.sp2c1la9z)
 - [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)
@@ -43,7 +44,7 @@ This repo contains several Python tutorials for data analysis tasks.
 - [Wiki](https://en.wikipedia.org/wiki/Scikit-learn)
 - [**Introduction to machine learning with scikit-learn**](https://github.com/justmarkham/scikit-learn-videos), [**Videos!**](http://blog.kaggle.com/author/kevin-markham/)
 - [**A Gentle Introduction to Scikit-Learn: A Python Machine Learning Library**](http://machinelearningmastery.com/a-gentle-introduction-to-scikit-learn-a-python-machine-learning-library/)
-- [sklearn_scipy2013](https://github.com/jakevdp/sklearn_scipy2013)
+- [**PyData Seattle 2015 Scikit-learn Tutorial**](https://github.com/jakevdp/sklearn_pydata2015), [sklearn_scipy2013](https://github.com/jakevdp/sklearn_scipy2013)
 - [SKLEARN BENCHMARKS: A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.](https://github.com/rhiever/sklearn-benchmarks)
 - [**Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark**](https://github.com/mapr-demos/spark-sklearn-airbnb-predict)
 - [**ML with scikit learn**](http://amueller.github.io/sklearn_tutorial/)