Thanks to This Year's Sponsors

PyData NYC 2022 could not happen without support from amazing sponsors. Are you interested in becoming a sponsor? If so, please see our sponsorship prospectus.


Founded in 1975, Microsoft is the worldwide leader in devices and services that help people and businesses realize their full potential. At Microsoft, we’re motivated and inspired every day by how our customers use our products to find creative solutions to business problems, develop breakthrough ideas, and stay connected to what’s most important to them.


With more than 25 million users, Anaconda is the world’s most popular data science platform and the foundation of modern machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world.

Noteable is a collaborative notebook platform that enables teams to use and visualize data, together. Its cloud-based and secure deployment options, no-code visualizations, and collaborative environment make it easy for teams to work with data in a single platform. Noteable is built for businesses by the experts behind the most successful enterprise-grade and open-source notebook initiatives. To learn more, visit

CVS Health is America’s leading health solutions company delivering care in ways no one else can. Our purpose is simple and clear: Bringing our heart to every moment of your health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart. We employ thousands of data scientists and engineers who support the broader organization (Aetna health care business, retail, and pharmacy services) by embedding deep insights into key decision processes and focusing on our biggest, most complex problems.


Taipy meets the challenge of rapidly transforming a bare algorithm into a full-fledged Decision Support System for end-users! We provide the next generation of Open-Source Software that enables Python Developers to quickly build interactive end-user applications.

Taipy is composed of:

  • Taipy GUI for the development of highly interactive GUIs ready for production
  • Taipy Core provides facilities for smart pipeline management, data caching as well as scenario and cycle management

Ntropy enables developers to parse financial transactions in under 100ms with super-human accuracy, unlocking the path to a new generation of autonomous finance, powering products and services that have never before been possible. It converts raw streams of transactions into contextualized, structured information by combining data from multiple sources, including natural language models, search engines, internal databases, external APIs, and existing transaction data from across our network.

BlockScience is a complex systems engineering firm. Our work leverages open source tooling to design, test, monitor, operate, and govern digital infrastructures. Our in-house research teams cover an array of topics ranging from developing software to increase the reproducibility of data science work, to designing algorithmic policies for participatory governance of digital platforms.

Two Sigma is a financial sciences company. We combine rigorous inquiry, data analysis, and invention to solve the toughest challenges across financial services. We use Open Source Software, and we’re passionate about giving back to the programming community. We want to make sure that the OSS projects that we and so many others rely on will still be functional far into the future. Supporting OSS can take many forms: making substantial contributions to projects we use regularly, open sourcing tools we’ve developed in house, and financially sponsoring non-profits that contribute to a healthy open source ecosystem.

Deepgram is a speech company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an end-to-end deep learning platform. This AI architectural advantage means users don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice.  Our easy-to-use APIs allow developers to quickly test and embed our STT solution into their voice product or experience.

Shopify is a leading provider of essential internet infrastructure for commerce, offering trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Proudly founded in Ottawa, Shopify powers millions of merchants in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, Heinz, Tupperware, FTD, Netflix, FIGS, and many more.

Posit – formerly Rstudio – open source and enterprise-ready, professional software combines robust and reproducible data analysis with tools to effectively share data products. Our flagship professional products RStudio Server Pro, RStudio Connect, and RStudio Package Manager equip professional data science teams to develop and share their work at scale.


Cubist Systematic Strategies is the systematic investing business of Point72. We deploy systematic, computer-driven trading strategies across multiple liquid asset classes. The core of our effort is rigorous research into a wide range of market anomalies, driven by our passion to understand the world around us and fueled by unparalleled access to a wide range of publicly available data sources.

Qwak simplifies the productionisation of machine learning models. Qwak’s ML Platform empowers data science and ML engineering teams to productionize models at scale.

By abstracting the complexities of feature engineering, model deployment, integration and optimization, Qwak brings agility and high-velocity to all ML initiatives designed to transform business, innovate, and create a clear competitive advantage.


Don’t Use This Code wants you to be a better data scientist or data analyst. We believe the path to industry-leading data science and data analysis goes through a deep investment in open source scientific computing, both in terms of supporting the community and also in terms of developing expertise with the tools.
Join us for an upcoming training session free to the public — — reach out to us about corporate training for your team — ( — our trainings are completely custom and the best in the world; connect with us — — about consulting projects; we will help you do things you never imagined possible.

Our world-class tools, content, products, and services are designed to help people adapt to our changing world, navigate its challenges and opportunities, and ultimately make progress in their lives. Because where learning flourishes, so do people.