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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.
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Bloomberg is building the world’s most trusted information network for financial professionals. Our 6,000+ engineers are dedicated to advancing and building new systems for the Bloomberg Terminal and other products to solve complex, real-world problems.
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Two Sigma Investments was founded in 2001 on the belief that innovative technology and data science could help discover value in the world’s data. Today, Two Sigma, through its use of algorithms and with its unique culture, drives transformations in many industries including investment management and insurance.
IBM's goal is to lead in the creation, development, and manufacture of the industry’s most advanced information technologies, including computer systems, software, networking systems, storage devices, and microelectronics.
InfuseAI is a machine learning company whose goal is to equip enterprises with an effortless entrance into the world of artificial intelligence. Top-rated educational and financial institutions in Taiwan use its platform, PrimeHub, to collaborate in multi-user Jupyter environments. PrimeHub paves the way for productivity, collaboration, and innovation across industries.
GitHub is a development platform inspired by the way you work. From open source to business, you can host and review code, manage projects, and build software alongside 50 million developers.
JupyterCon provides many unique opportunities for sponsors. On the one hand, the conference is certainly the best event in the world in which to engage the community that sustains and evolves Project Jupyter. Join us and become a participant in that dialogue. One the other hand, the conference provides access to a breadth of communities that leverage Project Jupyter:
- as standard tooling for research worldwide
- widespread use cases throughout education
- emerging use cases for interactive content in publishing
- integration points for enterprise data infrastructure, and enterprise concerns: collaboration, compliance, privacy, security, reproducibility, and so on
- a place to reach practitioners, such as in data science
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