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\n\t\t PyData NYC 2022<\/h2>

\n\t\t November 9-11th, 2022<\/strong>
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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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\"Thomas\"Thomas<\/div>
\n\t\t\t\t\t\t Thomas Caswell<\/span>\n\t\t\t\t\t\t <\/div>
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Thomas Caswell<\/span>Lead developer of Matplotlib, Core developer of h5py, and Staff Scientist at Brookhaven National Lab<\/span>
Tom Caswell, a trained physicist and staff scientist at NSLS-II at Brookhaven National Lab (BNL), works to bring modern programming and computational tools to the daily life of research scientists. At BNL, Caswell is a founder and core architect of the Bluesky Project which aims to simplify the scaling of particle physics research projects. Caswell is also a regular contributor to many core projects in the Scientific Python ecosystem, and was named a PSF Fellow in Q2 2022 in recognition of his contribution and leadership across the broader Python community.<\/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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\"Chelle\"Chelle<\/div>
\n\t\t\t\t\t\t Chelle Gentemann, Ph.D.<\/span>\n\t\t\t\t\t\t <\/div>
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Chelle Gentemann, Ph.D.<\/span>Program Scientist Transform to Open Science at NASA<\/span>
Chelle Gentemann studies the sea from space. The core of her research has been data production and analysis to understand and monitor changes in our weather and climate. Her approach has been to use cutting-edge technologies to bring sweeping changes to data and science, specifically targeting expansions data access and participation in science. At NASA headquarters she leads the Transform to Open Science (TOPS) mission. TOPS will create a scientific culture that is ready for 21st century challenges.<\/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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\"Paul\"Paul<\/div>
\n\t\t\t\t\t\t Paul Romer<\/span>\n\t\t\t\t\t\t <\/div>
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Paul Romer<\/span>University Professor at NYU, Co-Recipient of the 2018 Nobel Prize in Economic Sciences<\/span>
Paul Romer, a University Professor at NYU, was co-recipient of the 2018 Nobel Prize in Economics Sciences. His work lies in the intersection of economics, innovation, technology, and urbanization. The central conclusion is that there are many feasible ways to speed human progress. Before coming to NYU, Paul taught at Stanford, and while there, started Aplia, an education technology company he later sold to Thomson Learning. Prior to his current role at NYU, Paul taught at Stanford, UC Berkeley, the University of Chicago, and the University of Rochester.<\/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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\"Melissa\"Melissa<\/div>
\n\t\t\t\t\t\t Melissa Mendon\u00e7a<\/span>\n\t\t\t\t\t\t <\/div>
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Melissa Mendon\u00e7a<\/span>Software Engineer at Quansight<\/span>
Melissa is an applied mathematician and former university professor who fell in love with open source communities. She has been involved with the Python and PyData communities for some time, with a focus on outreach, education and DEI. She works at Quansight as a Senior Developer Experience Engineer, is a maintainer for NumPy and SciPy, and believes in the power of contributions beyond code.<\/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_row_inner][vc_column_inner width=”1\/2″][vc_column_text css_animation=”none” el_class=”font-family-alt”]<\/p>\n
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PyData NYC 2022 is a 3-day event 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, and R.<\/p>\n<\/div>\n<\/div>\n

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Over the span of 3 days, attendees will have the opportunity to participate in workshops, attend live keynote sessions and talks, as well as get to know fellow members of the PyData Community. The event will be in-person at the Microsoft Conference Center, Times Square. (<\/b>11 Times Sq, New York, NY 10036<\/b>) Wednesday and Thursday, November 9-10 are talk days, and Friday, November 11th is a tutorial day.<\/b><\/p>\n<\/div>\n<\/div>\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=”1503″ 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=”1461″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.cvshealth.com\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1426″ 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=”1452″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/noteable.io\/”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner]
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Platinum<\/h3><\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1467″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/quansight.com\/”][\/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:\/\/www.taipy.io\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1465″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/ntropy.com\/”][\/vc_column_inner][\/vc_row_inner][vc_row_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:\/\/www.twosigma.com\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1469″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/block.science\/”][\/vc_column_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.hopsworks.ai\/”][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1508″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”http:\/\/www.prefect.io\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1486″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/deepgram.com\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1451″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.shopify.com\/”][\/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=”1559″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.rstudio.com\/”][\/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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Gold<\/h3><\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1509″ img_size=”large” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.qwak.com\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1501″ img_size=”medium” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/point72.com\/cubist\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][\/vc_row_inner]
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Supporting<\/h3><\/div>\n <\/div>[vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1555″ img_size=”medium” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”http:\/\/dutc.io\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_single_image image=”1571″ img_size=”medium” alignment=”center” onclick=”custom_link” img_link_target=”_blank” css_animation=”fadeInUp” link=”https:\/\/www.pearson.com\/us\/”][\/vc_column_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=”2\/12″][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[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_row_inner][vc_column_inner width=”1\/2″][vc_column_text css_animation=”none” el_class=”font-family-alt”] PyData NYC 2022 is a 3-day event 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 […]<\/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 NYC 2022<\/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\/nyc2022\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Home | PyData NYC 2022\" \/>\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_row_inner][vc_column_inner width=”1\/2″][vc_column_text css_animation=”none” el_class=”font-family-alt”] PyData NYC 2022 is a 3-day event for the international community of users and developers of data analysis tools to share ideas and learn from each other. 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