About Our Sponsors


Continuum Analytics




Python Software Foundation


The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers. The majority of the PSF's work is focused on empowering and supporting people within the Python community. The PSF has active grant programs that support sprints, conferences, meetups, user groups, and Python development efforts all over the world. In addition, the PSF underwrites and runs PyCon US, the primary Python community conference. Being part of the PSF means being part of the Python community. Recently we changed the PSF to an open membership organization, so that everyone who uses and supports Python can join. To learn more, visit https://www.python.org/psf/membership.



Yhat (pronounced Y-hat) provides a platform for deploying and managing data science models.

With Yhat's flagship product, ScienceOps, data scientists can transform static insights into production-ready decision making APIs that integrate seamlessly with any web or mobile app.

Yhat also created Rodeo, an open source integrated development environment (IDE) for Python.



At H2O.ai we see a world where all software will incorporate AI, and we’re focused on bringing AI to business through software. H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark. Some of H2O’s mission critical applications include predictive maintenance, operational intelligence, security, fraud, auditing, churn, credit scoring, user based insurance, predicting sepsis, ICU monitoring and more in over 5,000 organizations. H2O is brewing a grassroots culture of data transformation in its customer communities


Cloud Academy


At Cloud Academy, we’re obsessed with technology and how it’s changing the world around us. Everyday developers are creating new software, products and companies with better knowledge and faster tools. As the pace of innovation rapidly increases, cloud technologies are changing the IT industry worldwide. Students, developers and companies are all seeking simple solutions with quick results.
Our vision at Cloud Academy is to enable the cloud community to stay updated and build advanced products with the latest technologies. Today we’re integrated and recognized in thousands of industries worldwide. We think big and look at solving solutions on a global scale while also considering the most important cloud vendors and their ecosystem of smaller technologies and tools. We want to empower and lead future generations of engineers and entrepreneurs in building and creating the next big product and technology.




Since 1978, O’Reilly has been a chronicler and catalyst of technology development, homing in on the trends that really matter and spurring their adoption by exploring and disseminating cutting-edge information. An active participant in the technology community, the company has a long history of advocacy, meme-making, and evangelism. Company founder and CEO Tim O’Reilly has been called “the Oracle of Silicon Valley” by Inc. Magazine and “The Trend Spotter” by WIRED.

The Data Incubator


The Data Incubator is a Cornell-funded data science training organization. We run an advanced 8-week fellowship for PhDs looking to enter industry. A variety of innovative companies partner with The Data Incubator for their hiring and training needs, including LinkedIn, Genentech, Capital One, Pfizer, and many others.


Women Data Science DC


Made for women in data science, women working toward a data science career, and supporters of women in data science. We have data science speakers, networking events, mentoring opportunities, and workshops to learn new data science tools.



The Center for Open Science is a non-profit aimed at improving transparency, openness, and reproducibility in scientific research.