PyData Seattle 2023 π 1000 in-person attendees, 3-day conference, April 26 - 28 Hosted by Microsoft.
https://pydata.org/seattle2023/
Diversity Scholarships π π· by NumFOCUS π π
π πOne of PyData Seattle confenrence's goals is to increase awareness and excitement around opportunities for underrepresented groups in software engineering and data analytics. To increase diversity in scientific computing, our outreach program ranges from hosting workshops that introduce programming to young women to encouraging diversity in speakers at PyData.
πΈ πΌ Are you a member of an underrepresented group in technology and/or open source and looking for ways to develop your career further and increase your professional impact?
Apply here π https://forms.gle/wyU9KHeBQ6baqbtU8
Through the #PyData Diversity Scholarship, you will get connected to other professionals in the field and learn from their experiences.
Timeline:
β’ Jan 19: Applications open
β’ February 21: Application deadline
β’ February 28: Award letters to successful applicants
π Everyone is welcome to apply.
Help us spread the word our call for proposals is open! π π Submit a talk or tutorial here https://pydata.org/seattle2023/present/
- Reach an expected target audience of 1,000 in person attendees
- Increase awareness of your products and services
- Gain access to decision makers in fields such as Big Data, Data Analysis, Data Science, Python programming, R, Julia among other related software programming languages.
- Present your organization to our Seattle Tech community
ππ Sponsorship
A special call to all our allies/individuals π you can contribute to the open source community with sponsoring one scholarship for women who may otherwise be unable to attend the conference. Contact us at [masked] or fill out this form here https://forms.gle/aRarqBKB78CKkEz27
π Startups/Enterprises π·πΈ View sponsorship prospectus here: https://pydata.org/seattle2023/sponsors/ or contact [masked]
πππΈ Become a NumFOCUS Member! https://numfocus.org/
ππ· NumFOCUS 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific projects for Data Science, including: Pandas, Numpy, Jupyter, Julia, SciPi, Sympy, Scikit-learn, R and many more!
NumFOCUS envisions an inclusive scientific and research community that utilizes actively supported open source software to make impactful discoveries for a better world π π