Home Product Integrations Customers Company Jobs Resources SQL School Playbook Sign In

7 Python Data Science Influencers to Follow

A few months ago, Stack Overflow confirmed what many people have been predicting for years, and crowned Python king of the software jungle. According to the results of their 2017 survey, Python is currently both the fastest-growing language and the most visited Stack Overflow tag.*

Source: Stack Overflow - The incredible growth of Python

Among data scientists and analysts, too, Python is a top contender for the title of “scripting language of choice.” Kaggle’s 2017 survey found that Python is currently the most commonly-used tool among data scientists in general (though statisticians still prefer R).

Python’s well-developed ecosystem of scientific computing libraries (like NumPy, SciPy, and pandas) lets analysts use Python for solving all kinds of problems. You can pull, clean, and manipulate data in Python, or run statistics, models, and predictions. Python notebooks (available natively in Mode) have drawn lots of fans among analysts since they make literate programming (in which you present code or results surrounded by contextualizing prose) easy.

Whether you’re just getting started with Python for data science, or you’re already a pro Pythonista, listening in on conversations among influencers in the community is a great way to stay up to speed. We’ve compiled a list of the people we follow most closely in the Python data science community. If you want to stay in the know, too, here are 7 people you should follow on Twitter.


1) Wes McKinney. Creator of pandas, the most widely-used Python library for data analysis. Author of Python for Data Analysis. Senior Vice President and Software Architect at Two Sigma.

Follow Wes: @wesmckinn

2) Hilary Mason. Founder of Fast Forward Labs. Data Scientist in Residence at Accel. Founder of HackNY and co-host of DataGotham.

Follow Hilary: @hmason

3) Jake VanderPlas. Author of Python Data Science Handbook. Senior Data Science Fellow and Director of Research at the University of Washington’s eScience institute.

Follow Jake: @jakevdp

4) Sarah Guido. Co-author of Introduction to Machine Learning with Python. Senior Data Scientist at Mashable. Co-organizer of the New York Python Meetup.

Follow Sarah: @sarah_guido

5) Renee Teate. Creator and host of Becoming a Data Scientist podcast. Creator of the Data Science Learning Club. Data Scientist at Helio Campus.

Follow Renee: @becomingdatasci

6) Lorena Mesa. Co-organizer of PyLadies Chicago and Tech Ladies Chicago city organizer. Python Software Foundation director. Software engineer on data science at Sprout Social.

Follow Lorena: @looorenanicole

7) Randy Olson. Senior Data Scientist at Penn Institute for Biomedical Informatics. Community leader for DataIsBeautiful. Co-organizer of Data Science Philly.

Follow Randy: @randal_olson


Are there Python data science influencers you think we should add to this list? We’d love to hear who you follow! Reach out to us on the forum, where you can talk to other analysts and data scientists and compare notes.

No coding experience? No problem. Learn Python using real-world data with our free tutorial.

*This statistic applies to tags in high-income nations only.

Recommended resources: