Virtual Expo Hall

Welcome to the SciPy 2020 Virtual Expo Hall! Since our sponsors can’t be with you in person, we’ve created a place to provide their content online.

Sponsors are what make this conference possible every year. These organizations have chosen to continue supporting SciPy and the Python community virtually this year. This support makes providing content for our attendees possible. We can not thank our sponsors enough and we invite you to learn more about them here.

Watch their recorded workshops and product demos, take part in their Python challenges, and learn about their job openings here!


Enthought accelerates science for business impact. We combine science expertise, AI software solutions, and transformation services to turn our customers into digital scientists and set up their organizations to win in today's digital world.


Our team of “scientists who code” pairs in-depth science expertise with data strategy, modeling, simulation, AI and more to transform businesses that depend on science. We solve complex problems for some of the most innovative and respected organizations across the oil and gas, life sciences, chemical, and semiconductor industries.


Founded in 2001, Enthought built the first scientific distribution of Python and has been the institutional sponsor of the annual SciPy conference since its inception. Enthought is headquartered in Austin, Texas, with offices in Houston, Texas, Cambridge, United Kingdom, Zürich, Switzerland, and Tokyo, Japan.

Learn more at



Shell is a global energy company. Around 84,000 employees across more than 70 countries work together to power progress through more and cleaner energy solutions. We use advanced technologies and take an innovative approach to help build a sustainable energy future.


Shell is an international energy company with expertise in the exploration, production, refining and marketing of oil and natural gas, and the manufacturing and marketing of chemicals.

Learn more at


BlackLocus is a former startup acquired by The Home Depot, the top home improvement retailer in the world. To stay ahead of the curve, The Home Depot is making a substantial investment in data science, innovation, technology and design. Here at BlackLocus, that means we get to collaborate with smart and diverse minds to explore exciting opportunities in the rapidly transforming retail space. We approach problem solving holistically, integrating our research and knowledge of customer motivations and buying habits with scalable technology.

Learn more at


The mission of NumFOCUS is to promote open practices in research, data, and scientific computing by serving as a fiscal sponsor for open source projects and organizing community-driven educational programs. NumFOCUS envisions an inclusive scientific and research community that utilizes actively supported open source software to make impactful discoveries for a better world.


Learn more at



At JetBrains, we have a passion for making people more productive through smarter software. Today JetBrains makes some of the most intelligent and powerful IDEs in the market. Our products are used by millions of developers worldwide, and you’ve probably heard of some of them: IntelliJ IDEA for Java, enterprise and web development; ReSharper for .NET; PyCharm for Python; CLion for C++, as well as other smart tools for individual developers and teams. We are also the creators of Kotlin, a new JVM programming language.


Learn more at


RMOTR began in 2015 with a clear goal: provide high-quality, affordable Data Science education, giving everyone and anyone the opportunity to learn at their own pace, on their own time. RMOTR’s expert instructors provide engaging, hands-on Data Science and Python training to beginners and experts alike. Their on-demand courses, programming exercises, GitHub projects, and quizzes are the perfect blend of in-depth instruction and hands-on learning that goes beyond the fundamentals. RMOTR offers both individual and company-wide training subscriptions, designed to help you or your entire organization build a clear path to success with Data Science.

Learn more at


Gordon and Betty Moore Foundation

The Gordon and Betty Moore Foundation fosters path-breaking scientific discovery, environmental conservation, patient care improvements and preservation of the special character of the Bay Area.


Learn more at or follow @MooreFound

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Two Sigma

Two Sigma uses data science and technology to discover value in markets worldwide.

We’re looking for people who see beauty in data and the possibilities it reveals. Modelers who see connections and patterns in unexpected places. Engineers who build tools that channel massive amounts of data into insights. And people across multiple disciplines to support our growth and position at the forefront of investment management, insurance, securities, private equity, and venture capital.


Learn more at

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Mu Sigma

In this hyper-evolving VUCA world, Mu Sigma acts as a Transformation Sherpa to 140+ Fortune 500 clients to help re-imagine the way they compete. Organizations out-collaborate with Mu Sigma through a unique engagement model consisting of an interactive ecosystem of people, processes & training, and platforms, which enables them to build capabilities in the long term while creating impact in the short term. - Organizational Consciousness video - Why Mu Sigma video and AoPS - MuPDNA accelerator

Learn more at



TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Get started quickly by running Colab notebooks directly in your browser.


Learn more at


Saturn Cloud

Saturn Cloud is a managed data science and machine learning platform that automates DevOps and ML infrastructure engineering so your team can focus on analytics. Saturn focuses on Jupyter and Dask to scale Python for big data using the libraries you know and love, while leveraging Docker and Kubernetes so that your work is reproducible, shareable and ready for production.


Learn more at

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Institutional Sponsor

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