Python-bloggers

In the last couple of years, there has been a lot of buzz around open source community. Almost every day, there are a lot of tools being open sourced. With a ton of open source tools in the market, don’t expect to have drivers built for every platform. I am a big fan of open... Continue Reading → [...Read more...]

An elevator, a phone, ... and a nerd [...Read more...]

I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2018 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging though all 40+ pages of my report, … Continue reading → [...Read more...]

Below is the latest update to The Popularity of Data Science Software. It contains an analysis of the tools used in the most recent complete year of scholarly articles. The section is also integrated into the main paper itself. New … Continue reading → [...Read more...]

What tools do we use most for data science, machine learning, or analytics? Python, R, SAS, KNIME, RapidMiner,…? How do we use them? We are about to find out as the two most popular surveys on data science tools have … Continue reading → [...Read more...]

The field of data science is changing so rapidly that it’s quite hard to keep up with it all. When I first started tracking The Popularity of Data Science Software in 2010, I followed only ten packages, all of them classic … Continue reading → [...Read more...]

I’ve just updated the Competition Use section of The Popularity of Data Science Software. Here’s just that section for your convenience. Competition Use Kaggle.com is a web site that sponsors data science contests. People post problems there along the amount … Continue reading → [...Read more...]