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\n\t\t PyData Seattle 2023<\/h2>

\n\t\t April 26-28, 2023
\n\ufe3e\n\t\t <\/p>Buy Tickets NOW<\/a><\/div>\n\t\t \n\t\t <\/div>\n\n\t\t <\/div>\n\n\t\t <\/div>\n\n\t\t <\/div><\/div>[\/vc_column][\/vc_row][vc_row content_placement=”middle” opacity_bg_pattern=”0.1″ el_class=”section_padding” el_id=”about”][vc_column]

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Keynote Speakers<\/h3><\/div>\n <\/div>[vc_row_inner equal_height=”yes” content_placement=”middle”][vc_column_inner width=”1\/4″]
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\"Holden\"Holden<\/div>
\n\t\t\t\t\t\t Holden Karau<\/span>\n\t\t\t\t\t\t <\/div>
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Holden Karau<\/span>
Holden is a transgender Canadian open source developer with a focus on Apache Spark, Airflow, Kubeflow, Ray, Dask and related ``big data`` tools. She is the co-author of Learning Spark, High Performance Spark, Scaling Python with Ray, and Kubeflow for Machine Learning. She is a committer and PMC on Apache Spark. She was tricked into the world of big data while trying to improve search and recommendation systems and has long since forgotten her original goal. She has worked at Amazon, Apple, and Google and is now working at Netflix.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/4″]
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\"Peter\"Peter<\/div>
\n\t\t\t\t\t\t Peter Wang<\/span>\n\t\t\t\t\t\t <\/div>
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Peter Wang<\/span>
Peter Wang is the CEO and co-founder of Anaconda, and helped found the PyData conferences and global community. Prior to starting Anaconda, Peter worked as a software engineer in scientific computing and visualization. He has extensive experience in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging. Peter holds a BA in Physics from Cornell University.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/4″]
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\"Travis\"Travis<\/div>
\n\t\t\t\t\t\t Travis Oliphant<\/span>\n\t\t\t\t\t\t <\/div>
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Travis Oliphant<\/span>
Dr. Oliphant has a Ph.D. in Biomedical Engineering from the Mayo Clinic, and M.S. and B.S. degrees in Electrical Engineering (and Math) from Brigham Young University. Travis has worked extensively with Python for numerical and scientific programming since 1997, and was the primary developer of the NumPy package and the author of the definitive Guide to NumPy. He is also the primary founding author of the SciPy package. During his academic career, he has worked in the fields of satellite remote sensing, Magnetic Resonance Imaging (MRI), Ultrasound, elastography, and general inverse problems. He was an Assistant Professor of Electrical and Computer Engineering at Brigham Young University from 2001 to 2007 where he taught courses in probability theory, electromagnetics, inverse problems, and signal processing. In addition, he directed the BYU Biomedical Imaging Lab, and performed research on scanning impedance imaging. He has done consulting work since 1997 in laser scattering off of semiconductors, sparse matrix calculations for search engines, and mesh transformations for fluid dynamics. Dr. Oliphant served as President of Enthought from 2007 until 2011, where he oversaw the establishment of additional satellite offices in New York City, Belgium, Cambridge UK, and Mumbai, India. During this time, he worked with Fortune 50 companies such as Shell, J.P. Morgan, and Proctor and Gamble in all aspects of the contractual relationship \u2013 from contracts to training to code architecture and code development. He also served on the Board of Directors for Enthought from 2008 until 2011, and during that time, formed strong connections with J.P. Morgan technical leadership staff and other industry leaders.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/4″]
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\"Katrina\"Katrina<\/div>
\n\t\t\t\t\t\t Katrina Riehl<\/span>\n\t\t\t\t\t\t <\/div>
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Katrina Riehl<\/span>
Dr. Katrina Riehl is President of the Board of Directors at NumFOCUS, Head of the Streamlit Data Team at Snowflake, and Adjunct Lecturer at Georgetown University. For almost two decades, Katrina has worked extensively in the fields of scientific computing, machine learning, data mining, and visualization. Most notably, she has helped lead data science efforts at the University of Texas Austin Applied Research Laboratory, Apple, HomeAway (now, Vrbo), and Cloudflare.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″ el_class=”section_padding” el_id=”What-to-Expect”][vc_column]
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What to Expect<\/h3><\/div>\n <\/div>[vc_column_text css_animation=”none” el_class=”font-family-alt”]<\/p>\n

Tutorials: April 26 | Talks: April 27-28<\/h3>\n

[\/vc_column_text][vc_column_text css_animation=”none” el_class=”font-family-alt”]<\/p>\n

The PyData Seattle Conference is where users, contributors, and newcomers can share experiences to learn from one another and grow together. 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.<\/p>\n

This physical conference consists of 3-days of talks, tutorials, and discussions to bring attendees the latest project features along with cutting edge use cases hosted at the Microsoft Conference center in Seattle, WA.<\/p>\n

[\/vc_column_text][vc_btn title=”More About Pydata and PyData Seattle” style=”outline” shape=”square” color=”black” align=”center” css_animation=”fadeInUp” link=”url:https%3A%2F%2Fseattle2023.wpengine.com%2Fabout|title:About”][vc_separator color=”peacoc”][vc_row_inner el_id=”diversity-scholars”][vc_column_inner width=”1\/2″]

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Diversity Scholarship<\/h3><\/div>\n <\/div>[vc_column_text css_animation=”none” el_class=”font-family-alt”]<\/p>\n

One of PyData’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.<\/p>\n

For PyData Seattle 2023, we are offering scholarship opportunities to those from underrepresented groups who may otherwise be unable to attend the conference.<\/p>\n

Please note scholarships do not cover travel and lodging costs<\/p>\n

Timeline<\/strong>:
\n\u2022 \u00a0 21 Feb : application deadline<\/del>
\n\u2022 \u00a0 28 Feb : award letters to successful applicants<\/del><\/h4>\n

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Sponsor a Scholar<\/h3><\/div>\n <\/div>[vc_column_text css_animation=”none” el_class=”font-family-alt”]<\/p>\n

Want to give back to the community? Sponsor a diversity scholar!<\/p>

Your contribution will provide more diversity scholarships to this year’s PyData Seattle event. Donation form below:<\/p>\n

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Volunteer Sign Up<\/h3><\/div>\n <\/div>[vc_column_text css_animation=”none” el_class=”font-family-alt”]<\/p>\n

Want to get involved? Join us as a volunteer at PyData Seattle 2023!<\/p>\n

Everyone is welcome to apply. Volunteers will receive free admission to the conference. No travel or accommodations are covered.<\/p>\n

Example Volunteer Duties Include:<\/p>\n

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  • Check-in at registration desk<\/li>\n
  • Introduce speakers<\/li>\n
  • Ensure talks start and end on time<\/li>\n
  • Moderate Q&A<\/li>\n
  • Answer or appropriately redirect questions from attendees and speakers<\/li>\n
  • Appropriately redirect any Code of Conduct complaints<\/li>\n<\/ul>\n

    Please complete the sign up form by the 26th of March, 2023.<\/b><\/p>\n

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    THANKS TO OUR SPONSORS<\/strong><\/h1>\n

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    Host<\/h3><\/div>\n <\/div>[vc_row_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1442″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.microsoft.com\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][\/vc_row_inner]
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    Diamond<\/h3><\/div>\n <\/div>[vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1493″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/delta.io\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1443″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.anaconda.com\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1504″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/posit.co\/”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1519″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.union.ai\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][\/vc_row_inner]
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    Platinum<\/h3><\/div>\n <\/div>[vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1444″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.taipy.io\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1460″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/statsig.com\/?utm_content=pydata_partnership”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1524″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.griddynamics.com\/”][\/vc_column_inner][\/vc_row_inner]
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    Gold<\/h3><\/div>\n <\/div>[vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1463″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/datapane.com\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1491″ img_size=”” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.coiled.io\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1492″ img_size=”” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.capitalone.com\/tech\/machine-learning\/”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1527″ img_size=”” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/noteable.io\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner]
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    Community<\/h3><\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1476″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.meetup.com\/seattle-pyladies\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1475″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/womentechmakers.com\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1481″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.alluxio.io\/”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1495″ img_size=”” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/codebasics.io\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1510″ img_size=”” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.meetup.com\/seattle-deep-learning\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1496″ img_size=”” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.ray.io\/”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1511″ img_size=”” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.meetup.com\/cloud-development-meetup\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1512″ img_size=”” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.meetup.com\/robust-responsible-ai-seattle\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1484″ img_size=”150×149″ alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.meetup.com\/seattle-spark-meetup\/”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1509″ img_size=”” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.meetup.com\/seattle-daml\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1517″ img_size=”” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/tryolabs.com\/?utm_source=pydata&utm_medium=pydata&utm_campaign=pydata”][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”2\/12″][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

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PyData provides a […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-483","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nHome | PyData Seattle 2023<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/pydata.org\/seattle2023\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Home | PyData Seattle 2023\" \/>\n<meta property=\"og:description\" content=\"[vc_row full_width=”stretch_row_content_no_spaces” opacity_bg_pattern=”0.6″ ova_bg_pattern=”#000000″][vc_column parallax=”content-moving” parallax_image=”1030″][\/vc_column][\/vc_row][vc_row content_placement=”middle” opacity_bg_pattern=”0.1″ el_class=”section_padding” el_id=”about”][vc_column][vc_row_inner equal_height=”yes” content_placement=”middle”][vc_column_inner width=”1\/4″][\/vc_column_inner][vc_column_inner width=”1\/4″][\/vc_column_inner][vc_column_inner width=”1\/4″][\/vc_column_inner][vc_column_inner width=”1\/4″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″ el_class=”section_padding” el_id=”What-to-Expect”][vc_column][vc_column_text css_animation=”none” el_class=”font-family-alt”] Tutorials: April 26 | Talks: April 27-28 [\/vc_column_text][vc_column_text css_animation=”none” el_class=”font-family-alt”] The PyData Seattle Conference is where users, contributors, and newcomers can share experiences to learn from one another and grow together. 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