PyData is a three-day event where data science professionals, in both academia and enterprise, come together to discuss the challenges and management of data using Python. The community-led conferences are dedicated to providing a place for Python enthusiasts to share ideas and learn from each other, especially with respect to topics of data analytics, processing and visualization.
The 2015 PyData conference series had over 3,500 attendees spread over six conferences in four countries. In 2016, PyData will continue to expand with eleven conferences in six countries!
PyData Sponsorship has many benefits including positioning your company at the forefront of the open-source Python data community. Your sponsorship supports the language and its tools through the knowledge sharing and educational opportunities found at PyData events.
PyData is organized by, and all proceeds benefit, NumFOCUS, a 501(c)(3) public charity. Proceeds are used for the continued development of open-source tools used by data scientists. Programs of NumFOCUS include: Women in Technology Initiatives, the John Hunter Technical Fellowship, conference scholarships, research and development of open-source projects, grants, project fiscal sponsorship and promotional support.
Our past conference websites can be found by visiting https://pydata.org/. If you would like additional information on sponsorship, please contact us at: admin@pydata.org.
You can also download this prospectus.
Diamond | $25000 |
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Platinum | $15000 |
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Gold | $7000 |
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Gold | $5000 |
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Lanyard | $3000 |
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Silver | $3000 |
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Supporting | $1500 |
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Diversity Scholarship | $500 | |
Media |
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Community | Organizations in the Python Data community supporting PyData events through promotions, volunteers and community support. |
To apply for sponsorship, please let us know your company’s name and contact, and the level in which you would like to sponsor. Include a short description of your company or organization and a logo to be used on the website and on our banner and conference signage.
First time in @parsely's history that I've been *overwhelmed* with top-quality engineering candidates, inbound. Many via @PyDataConf.
— Andrew Montalenti (@amontalenti) November 21, 2013