# Top KDnuggets tweets, July 26-28: Statistical Data Analysis in Python and Pandas;Julia – a high-level scientific language

Statistical Data Analysis in Python and Pandas, SciPy2013 Tutorial; A Beginner look at Julia – a high-level scientific language; Statisticians are envious, asking “Aren’t We Data Science?” No; Intuitive Classiﬁcation and Clustering using kNN and Python, well explained

Most popular KDnuggets tweets

(see twitter.com/kdnuggets ) for July 26-28 were

**Most viewed:**

A Beginner’s look at Julia – a high-level scientific language, intended to replace R, Python, MATLAB, C, Scala bit.ly/16nJNWF

**Most Retweeted:**

Statistical Data Analysis in Python and Pandas, SciPy2013 Tutorial – very comprehensive bit.ly/14bYhgw

**Most Favorited:**

Statistical Data Analysis in Python and Pandas, SciPy2013 Tutorial – very comprehensive bit.ly/14bYhgw

**Top 10 Tweets**

- Statistical Data Analysis in Python and Pandas, SciPy2013 Tutorial – very comprehensive bit.ly/14bYhgw
- A Beginner’s look at Julia – a high-level scientific language, intended to replace R, Python, MATLAB, C, Scala bit.ly/16nJNWF
- Statisticians are envious, asking “Aren’t We Data Science?” No, Statistics is important, but not all of Data Science bit.ly/1ccxam4
- Intuitive Classiﬁcation and Clustering using kNN and Python, well explained with charts and humor bit.ly/177ZuAy
- 8 sins (challenges) data scientists confessed to: 1. Not knowing when to STOP 2. Guilty of data torture. bit.ly/14UECAN
- People analytics: #BigData can predict job success before your 1st day on the job bit.ly/13p8PSg
- Data Science Certification Program Emerges, starting with INFORMS #BigData ubm.io/13aeKiA
- A Self-Driving Car will create 1 GB/sec data stream – how to use this mobile #BigData? bit.ly/13iwIff
- 5 Roles You Need on Your Big Data Team: Data Hygienists, Data Explorers bit.ly/1c0i9Fu
- MOOC attrition rate is 95% – here is an approach for predicting online student retention bit.ly/14gWHTz