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JuliaCon 2020

Jul 27 - 31, 2020 · Lisboa, Portugal

JuliaCon is coming to Lisbon. Expect cutting-edge technical talks, hands-on workshops, a chance to meet the broader Julia community and Julia's creators.

Over the years, JuliaCon presentations have ranged from introductory to advanced and have been from industry and academia. The conference consists of workshop events deep-diving into a particular Julia package or subsystem and traditional conference talks as well as longer keynote talks. The conference ends with an informal hackathon day where you'll get the chance to hang out in with Julia developers to collaborate on your favorite Julia projects. To get a feel for previous years’ presentations, take a look at our past programs and recordings: (2019, 2018; 2017; 2016; 2015 and 2014).

Ticket costs will support the Julia Community through donations to NumFOCUS, a non-profit public charity promoting and supporting the ongoing research and development of open-source scientific data tools through educational, community and public channels

Looking forward to seeing you there!

Schedule:
Monday: Workshop
Tuesday-Thursday: Talks
Friday: Hackathon


Interested in sponsoring? Any other questions? Email the organisers at juliacon@julialang.org. More information abut the event is available on our website: http://juliacon.org/2020/.


FAQs

How can I contact the organizer with any questions?

Please email juliacon@julialang.org with you questions.

What's the refund policy?

Refunds are available upto 30 days prior to the event. After that period, refunds will be considered within 24 hours of purchase. Please contact us immediately.

Is my registration fee or ticket transferrable?

We will be happy to transfer the registration if the original purchaser is unable to attend. Please email us with your request.

Event organizers
  • NumFOCUS/PyData

    NumFOCUS is a 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific software. The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research. We accomplish this mission through our educational programs and events as well as through fiscal sponsorship of open source data science projects. We aim to increase collaboration and communication within the scientific computing community. PyData

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