PyData is an educational program of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. Through the combined efforts of NumFOCUS staff and the PyData community, we have created a strong brand recognized for events that:

  • Deliver valuable content from excellent speakers and presenters;
  • Serve the community through a strong organized network;
  • Provide beneficial sponsorship opportunities;
  • Give attendees a place to share and exchange knowledge, as well as to network with others in the field of data science; and
  • Uphold the high standards of conduct and conference diversity held by NumFOCUS.

Obtaining Approval for a PyData Track

Conferences wishing to host a PyData track (using the PyData brand name and logo) should reach out to NumFOCUS in advance for approval. Approval must be renewed each year of the conference. Please email [email protected] with the details of your request.

PyData Track Guidelines

The following guidelines will be used for all PyData track events that are part of larger conferences:

  1. PyData tracks should include on the website:
    PyData is an educational program of
  2. If the larger event has a (no-cost) community sponsorship or some equivalent, we would appreciate it if NumFOCUS can be listed. Please use the logo above and link to numfocus.org
  3. Please use the following description of PyData:
    • PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, R, and Stan.
  4. PyData organizing committees should ensure that women and other underrepresented groups are members of the organizing committee and well represented among conference participants and invited speakers.

    We strongly encourage you to read through the full DISCOVER Cookbook and incorporate its recommendations into your conference planning.

  5. PyData events should have a robust code of conduct. If the larger event does not have a Code of Conduct in place, please list the following paragraph on the website as well as include the following link: PyData Code of Conduct (https://pydata.org/code-of-conduct.html)

    • CODE OF CONDUCT

      PyData is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of conference participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate for any conference venue, including talks. Be kind to others. Do not insult or put down other attendees. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for PyData. Attendees violating these rules may be asked to leave the conference without a refund at the sole discretion of the conference organizers. Thank you for helping make this a welcoming, friendly event for all.

      If you are being harassed, notice that someone else is being harassed, or have any other concerns, please contact a member of conference staff.

      If the matter is especially urgent, please call/contact:

      Leah Silen
      NumFocus, Executive Director
      [email protected]
      +1 (972) 896-3688

      Conference staff will be happy to help participants contact hotel/venue security or local law enforcement, provide escorts, or otherwise assist those experiencing harassment to feel safe for the duration of the conference. We value your attendance.

LOGOS

If you would like to use a personalized version of the logo (example), please share the proposed logo with [email protected] for approval.

Banner Logo

Small Logo

NumFOCUS

NumFOCUS will provide hi-res logos for use by approved PyData Tracks.

If we can be of further help, let us know! ([email protected])

Responsibility Matrix

The following table delineates responsibilities between the track organizing committee and NumFOCUS:

On-Location Organizing CommitteeNumFOCUS
Website & MarketingManage PyData page on conference website (as applicable); marketing and social media promotionList PyData track on pydata.org; support marketing efforts via PyData social media accounts
SpeakersDetermine speakersHelp with suggestions and contact of keynote speaker(s) if needed.
SponsorsObtain sponsorships to cover the cost of the track/event (as applicable). Forward sponsor contact info to NumFOCUS.NumFOCUS is available to help secure sponsorships for your PyData track, so long as those sponsorships are split 50/50 between the conference and NumFOCUS. PyData events traditionally play an important role in generating funds to support NumFOCUS sponsored projects.
Video RecordingArrange any video recording of the PyData track through the main conference (as applicable).If there will be PyData track videos and you’d like them published to the PyData YouTube channel, please contact NumFOCUS in advance to let us know. There are certain standardized features of PyData videos that we require for all videos that go up on our channel. Details provided upon request.
Post-ConferenceShare feedback on how the track went; share attendee contact information (emails) with NumFOCUS, if possible.