{"id":765,"date":"2021-04-02T21:13:21","date_gmt":"2021-04-02T21:13:21","guid":{"rendered":"https:\/\/pydata21.wpengine.com\/?page_id=765"},"modified":"2022-11-10T19:31:26","modified_gmt":"2022-11-10T19:31:26","slug":"sponsors","status":"publish","type":"page","link":"https:\/\/pydata.org\/nyc2022\/sponsors\/","title":{"rendered":"Sponsor"},"content":{"rendered":"<p>[vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;200px&#8221;]<div class=\"no-padding-rl no-padding-top padding-8\">\n                <div class=\"text-center\"><h3 class=\"font-family-alt font-weight-700 letter-spacing-2 text-uppercase xs-title-small title-medium title-sideline-base-color\">Thanks to This Year's Sponsors<\/h3><\/div>\n            <\/div>[vc_row_inner][vc_column_inner][vc_column_text]<\/p>\n<p style=\"text-align: left;\">PyData NYC 2022 could not happen without support from amazing sponsors. Are you interested in becoming a sponsor? If so, please see our sponsorship <a href=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/07\/PyData-2022-Sponsorship-Prospectus-v4.pdf\">prospectus<\/a>.<\/p>\n<p>[\/vc_column_text][vc_btn title=&#8221;View Sponsorship Prospectus&#8221; style=&#8221;classic&#8221; shape=&#8221;square&#8221; color=&#8221;peacoc&#8221; align=&#8221;center&#8221; i_icon_fontawesome=&#8221;fas fa-file-alt&#8221; add_icon=&#8221;true&#8221; link=&#8221;url:https%3A%2F%2Fpydatanyc2022.wpengine.com%2Fwp-content%2Fuploads%2F2022%2F07%2FPyData-2022-Sponsorship-Prospectus-v4.pdf|target:_blank&#8221; css=&#8221;.vc_custom_1657222799031{margin-bottom: 100px !important;}&#8221;]<div class=\"no-padding-rl no-padding-top padding-8\">\n                <div class=\"text-center\"><h3 class=\"font-family-alt font-weight-700 letter-spacing-2 text-uppercase xs-title-small title-medium title-sideline-base-color\">Host<\/h3><\/div>\n            <\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]Founded in 1975, <strong>Microsoft<\/strong> is the worldwide leader in devices and services that help people and businesses realize their full potential. At Microsoft, we&#8217;re motivated and inspired every day by how our customers use our products to find creative solutions to business problems, develop breakthrough ideas, and stay connected to what&#8217;s most important to them.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_column_text]<a href=\"https:\/\/www.microsoft.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-1503 aligncenter\" src=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/10\/microsoft_logo_print_no_background-300x64.png\" alt=\"\" width=\"300\" height=\"64\" srcset=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/10\/microsoft_logo_print_no_background-300x64.png 300w, https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/10\/microsoft_logo_print_no_background.png 350w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;]<div class=\"no-padding-rl no-padding-top padding-8\">\n                <div class=\"text-center\"><h3 class=\"font-family-alt font-weight-700 letter-spacing-2 text-uppercase xs-title-small title-medium title-sideline-base-color\">Diamond<\/h3><\/div>\n            <\/div>[\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<a href=\"https:\/\/www.anaconda.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1426 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/07\/2020_Anaconda_Logo_RGB_300x100.png\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]With more than 25 million users,\u00a0<strong>Anaconda<\/strong>\u00a0is the world\u2019s most popular data science platform and the foundation of modern machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow\u2019s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world.[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<strong><span class=\"il\">Noteable<\/span>\u00a0<\/strong>is a collaborative notebook platform that enables teams to use and visualize data, together. Its cloud-based and secure deployment options, no-code visualizations, and collaborative environment make it easy for teams to work with data in a single platform.\u00a0<span class=\"il\">Noteable<\/span>\u00a0is built for businesses by the experts behind the most successful enterprise-grade and open-source notebook initiatives. To learn more, visit\u00a0<a href=\"http:\/\/www.noteable.io\/\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=http:\/\/www.noteable.io&amp;source=gmail&amp;ust=1657898618224000&amp;usg=AOvVaw0jkhHZUF78ayClu5bsLY0h\">www.<span class=\"il\">noteable<\/span>.io<\/a>.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_column_text]<a href=\"http:\/\/www.noteable.io\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1452 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/07\/noteable-300x100-1.jpg\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<a href=\"https:\/\/www.cvshealth.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1461 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/08\/CVS_Health_logo_300x100.png\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<strong>CVS Health<\/strong> is America\u2019s leading health solutions company delivering care in ways no one else can. Our purpose is simple and clear: Bringing our heart to every moment of your health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart. We employ thousands of data scientists and engineers who support the broader organization (Aetna health care business, retail, and pharmacy services) by embedding deep insights into key decision processes and focusing on our biggest, most complex problems.[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;]<div class=\"no-padding-rl no-padding-top padding-8\">\n                <div class=\"text-center\"><h3 class=\"font-family-alt font-weight-700 letter-spacing-2 text-uppercase xs-title-small title-medium title-sideline-base-color\">Platinum<\/h3><\/div>\n            <\/div>[\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<span style=\"font-weight: 400;\"><strong>Taipy<\/strong> meets the challenge of rapidly transforming a bare algorithm into a full-fledged Decision Support System for end-users! <\/span>We provide the next generation of Open-Source Software that enables Python Developers to quickly build interactive end-user applications.<\/p>\n<p><span style=\"font-weight: 400;\">Taipy is composed of:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Taipy GUI<\/b><span style=\"font-weight: 400;\"> for the development of highly interactive GUIs ready for production<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Taipy Core<\/b><span style=\"font-weight: 400;\"> provides facilities for smart pipeline management, data caching as well as scenario and cycle management<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<a href=\"https:\/\/www.taipy.io\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1460 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/08\/Taipy-300x100-1.png\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<a href=\"https:\/\/ntropy.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1465 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/08\/Ntropy_logo_300x100.png\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<strong>Ntropy<\/strong>\u00a0enables developers to parse financial transactions in under 100ms with super-human accuracy, unlocking the path to a new generation of autonomous finance, powering products and services that have never before been possible. It converts raw streams of transactions into contextualized, structured information by combining data from multiple sources, including natural language models, search engines, internal databases, external APIs, and existing transaction data from across our network.[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<\/p>\n<div class=\"p-client_container\">\n<div class=\"p-client p-client--show-team-sidebar p-client--custom-titlebar p-client--toggle-larger-top-nav-bar p-client--a11y-layout\">\n<div class=\"p-workspace-layout\" role=\"tabpanel\" aria-label=\"NumFOCUS\">\n<div>\n<div class=\"p-workspace__primary_view\" role=\"group\" aria-roledescription=\"Primary view\" aria-label=\"Conversation with @Jim Weiss\">\n<div class=\"p-workspace__primary_view_contents\">\n<div class=\"p-file_drag_drop__container\">\n<div role=\"presentation\">\n<div class=\"p-workspace__primary_view_body\">\n<div class=\"p-message_pane p-message_pane--classic-nav p-message_pane--scrollbar-float-adjustment p-message_pane--with-bookmarks-bar\" data-qa=\"message_pane\">\n<div>\n<div role=\"presentation\">\n<div class=\"c-virtual_list c-virtual_list--scrollbar c-message_list c-message_list--floating c-scrollbar c-scrollbar--fade\" role=\"presentation\">\n<div class=\"c-scrollbar__hider\" role=\"presentation\" data-qa=\"slack_kit_scrollbar\">\n<div class=\"c-scrollbar__child\" role=\"presentation\">\n<div class=\"c-virtual_list__scroll_container\" tabindex=\"-1\" role=\"list\" data-qa=\"slack_kit_list\" aria-label=\"Jim Weiss (direct message, away)\">\n<div id=\"1662472801.863139\" class=\"c-virtual_list__item c-virtual_list__item--initial-activeitem\" tabindex=\"0\" role=\"listitem\" data-qa=\"virtual-list-item\" data-item-key=\"1662472801.863139\">\n<div class=\"c-message_kit__background c-message_kit__background--hovered p-message_pane_message__message c-message_kit__message\" role=\"presentation\" data-qa=\"message_container\" data-qa-unprocessed=\"false\" data-qa-placeholder=\"false\">\n<div class=\"c-message_kit__hover c-message_kit__hover--hovered\" role=\"document\" aria-roledescription=\"message\" data-qa-hover=\"true\">\n<div class=\"c-message_kit__actions c-message_kit__actions--default\">\n<div class=\"p-autoclog__hook\">\n<div class=\"c-message_kit__gutter\">\n<div class=\"c-message_kit__gutter__right\" role=\"presentation\" data-qa=\"message_content\">\n<div class=\"c-message_kit__blocks c-message_kit__blocks--rich_text\">\n<div class=\"c-message__message_blocks c-message__message_blocks--rich_text\" data-qa=\"message-text\">\n<div class=\"p-block_kit_renderer\" data-qa=\"block-kit-renderer\">\n<div class=\"p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first\">\n<div class=\"p-rich_text_block\" dir=\"auto\"><strong>Quansight<\/strong> is a data science and engineering consulting firm specializing in open source software. Quansight is led by Travis Oliphant, who founded Anaconda, NumFOCUS, PyData, and authored or led the creation of foundational Python ecosystem packages NumPy, SciPy, Numba, and Conda.<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_column_text]<a href=\"https:\/\/quansight.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1467 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/09\/Quansight-300x100-1.png\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<a href=\"http:\/\/block.science\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1469 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/09\/BlockScience_logo-300x100-1.png\" alt=\"\" width=\"238\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<strong>BlockScience<\/strong>\u00a0is a complex systems engineering firm. Our work leverages open source tooling to design, test, monitor, operate, and govern digital infrastructures. Our in-house research teams cover an array of topics ranging from developing software to increase the reproducibility of data science work, to designing algorithmic policies for participatory governance of digital platforms.[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<\/p>\n<div class=\"p-client_container\">\n<div class=\"p-client p-client--show-team-sidebar p-client--custom-titlebar p-client--toggle-larger-top-nav-bar p-client--a11y-layout\">\n<div class=\"p-workspace-layout\" role=\"tabpanel\" aria-label=\"NumFOCUS\">\n<div class=\"p-workspace__primary_view\" role=\"group\" aria-roledescription=\"Primary view\" aria-label=\"Conversation with @Jim Weiss\">\n<div class=\"p-workspace__primary_view_contents\">\n<div class=\"p-file_drag_drop__container\">\n<div role=\"presentation\">\n<div class=\"p-workspace__primary_view_body\">\n<div class=\"p-message_pane p-message_pane--classic-nav p-message_pane--scrollbar-float-adjustment p-message_pane--with-bookmarks-bar\" data-qa=\"message_pane\">\n<div role=\"presentation\">\n<div class=\"c-virtual_list c-virtual_list--scrollbar c-message_list c-message_list--floating c-scrollbar c-scrollbar--fade\" role=\"presentation\">\n<div class=\"c-scrollbar__hider\" role=\"presentation\" data-qa=\"slack_kit_scrollbar\">\n<div class=\"c-scrollbar__child\" role=\"presentation\">\n<div class=\"c-virtual_list__scroll_container\" tabindex=\"-1\" role=\"list\" data-qa=\"slack_kit_list\" aria-label=\"Jim Weiss (direct message, away)\">\n<div id=\"1662472801.863139\" class=\"c-virtual_list__item c-virtual_list__item--initial-activeitem\" tabindex=\"0\" role=\"listitem\" data-qa=\"virtual-list-item\" data-item-key=\"1662472801.863139\">\n<div class=\"c-message_kit__background c-message_kit__background--hovered p-message_pane_message__message c-message_kit__message\" role=\"presentation\" data-qa=\"message_container\" data-qa-unprocessed=\"false\" data-qa-placeholder=\"false\">\n<div class=\"c-message_kit__hover c-message_kit__hover--hovered\" role=\"document\" aria-roledescription=\"message\" data-qa-hover=\"true\">\n<div class=\"c-message_kit__actions c-message_kit__actions--default\">\n<div class=\"p-autoclog__hook\">\n<div class=\"c-message_kit__gutter\">\n<div class=\"c-message_kit__gutter__right\" role=\"presentation\" data-qa=\"message_content\">\n<div class=\"c-message_kit__blocks c-message_kit__blocks--rich_text\">\n<div class=\"c-message__message_blocks c-message__message_blocks--rich_text\" data-qa=\"message-text\">\n<div class=\"p-block_kit_renderer\" data-qa=\"block-kit-renderer\">\n<div class=\"p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first\">\n<div class=\"p-rich_text_block\" dir=\"auto\"><strong>Prefect<\/strong>\u00a0is a dataflow automation platform for data engineers to build, automatically run, and monitor complex pipelines at any scale. Prefect is used by organizations of all sizes across the globe, and its open-source code base is supported by thousands of community members. Founded in 2018 by Jeremiah Lowin, Prefect raised its Series B in early 2021. Investors include Bessemer Venture Partners and Tiger Global Management. For more information on Prefect, visit\u00a0<a href=\"http:\/\/www.prefect.io\/\" target=\"_blank\" rel=\"noopener noreferrer\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=http:\/\/www.prefect.io&amp;source=gmail&amp;ust=1663175184738000&amp;usg=AOvVaw3mu4B2tZRrY82e4gj9XGbt\"><u>https:\/\/www.prefect.io<\/u><\/a>.<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_column_text]<a href=\"https:\/\/www.prefect.io\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1470 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/09\/prefect-logo-mark-gradient100x100.png\" alt=\"\" width=\"100\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<a href=\"https:\/\/www.twosigma.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1475 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/09\/two_sigma300x100.png\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<strong>Two Sigma<\/strong>\u00a0is a financial sciences company. We combine rigorous inquiry, data analysis, and invention to solve the toughest challenges across financial services. We use Open Source Software, and we\u2019re passionate about giving back to the programming community. We want to make sure that the OSS projects that we and so many others rely on will still be functional far into the future. Supporting OSS can take many forms: making substantial contributions to projects we use regularly, open sourcing tools we\u2019ve developed in house, and financially sponsoring non-profits that contribute to a healthy open source ecosystem.[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<\/p>\n<div class=\"p-client_container\">\n<div class=\"p-client p-client--show-team-sidebar p-client--custom-titlebar p-client--toggle-larger-top-nav-bar p-client--a11y-layout\">\n<div class=\"p-workspace-layout\" role=\"tabpanel\" aria-label=\"NumFOCUS\">\n<div class=\"p-workspace__primary_view\" role=\"group\" aria-roledescription=\"Primary view\" aria-label=\"Conversation with @Jim Weiss\">\n<div class=\"p-workspace__primary_view_contents\">\n<div class=\"p-file_drag_drop__container\">\n<div role=\"presentation\">\n<div class=\"p-workspace__primary_view_body\">\n<div class=\"p-message_pane p-message_pane--classic-nav p-message_pane--scrollbar-float-adjustment p-message_pane--with-bookmarks-bar\" data-qa=\"message_pane\">\n<div role=\"presentation\">\n<div class=\"c-virtual_list c-virtual_list--scrollbar c-message_list c-message_list--floating c-scrollbar c-scrollbar--fade\" role=\"presentation\">\n<div class=\"c-scrollbar__hider\" role=\"presentation\" data-qa=\"slack_kit_scrollbar\">\n<div class=\"c-scrollbar__child\" role=\"presentation\">\n<div class=\"c-virtual_list__scroll_container\" tabindex=\"-1\" role=\"list\" data-qa=\"slack_kit_list\" aria-label=\"Jim Weiss (direct message, away)\">\n<div id=\"1662472801.863139\" class=\"c-virtual_list__item c-virtual_list__item--initial-activeitem\" tabindex=\"0\" role=\"listitem\" data-qa=\"virtual-list-item\" data-item-key=\"1662472801.863139\">\n<div class=\"c-message_kit__background c-message_kit__background--hovered p-message_pane_message__message c-message_kit__message\" role=\"presentation\" data-qa=\"message_container\" data-qa-unprocessed=\"false\" data-qa-placeholder=\"false\">\n<div class=\"c-message_kit__hover c-message_kit__hover--hovered\" role=\"document\" aria-roledescription=\"message\" data-qa-hover=\"true\">\n<div class=\"c-message_kit__actions c-message_kit__actions--default\">\n<div class=\"p-autoclog__hook\">\n<div class=\"c-message_kit__gutter\">\n<div class=\"c-message_kit__gutter__right\" role=\"presentation\" data-qa=\"message_content\">\n<div class=\"c-message_kit__blocks c-message_kit__blocks--rich_text\">\n<div class=\"c-message__message_blocks c-message__message_blocks--rich_text\" data-qa=\"message-text\">\n<div class=\"p-block_kit_renderer\" data-qa=\"block-kit-renderer\">\n<div class=\"p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first\">\n<div class=\"p-rich_text_block\" dir=\"auto\"><strong>Hopsworks Feature Store<\/strong>\u00a0is an enterprise and python friendly Machine Learning platform for the full lifecycle of AI projects. It offers best in-class performances and an effective collaborative layer for all data teams, allowing them to leverage any data source for any application, at any performance level and across any environment.<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_column_text]<a href=\"https:\/\/www.hopsworks.ai\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1476 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/09\/Hopsworks-Logo-TRS300x100.png\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<a href=\"https:\/\/deepgram.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1486 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/09\/stacked-logo-red-300x100-1.png\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<strong>Deepgram<\/strong> is a speech company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an end-to-end deep learning platform. This AI architectural advantage means users don\u2019t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice.\u00a0 Our easy-to-use APIs allow developers to quickly test and embed our STT solution into their voice product or experience.[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<strong>Shopify<\/strong>\u00a0is a leading provider of essential internet infrastructure for commerce, offering trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Proudly founded in Ottawa, Shopify powers millions of merchants in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, Heinz, Tupperware, FTD, Netflix, FIGS, and many more.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_column_text]<a href=\"https:\/\/www.shopify.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1451 aligncenter\" src=\"https:\/\/pydatanyc2022.wpengine.com\/wp-content\/uploads\/2022\/07\/shopify_logo_black300x100.png\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<a href=\"https:\/\/posit.co\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1559 aligncenter\" src=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/11\/posit-300x100-1.png\" alt=\"\" width=\"300\" height=\"100\" \/><\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<strong>Posit <\/strong>&#8211; formerly Rstudio &#8211; open source and enterprise-ready, professional software combines robust and reproducible data analysis with tools to effectively share data products. Our flagship professional products RStudio Server Pro, RStudio Connect, and RStudio Package Manager equip professional data science teams to develop and share their work at scale.[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;]<div class=\"no-padding-rl no-padding-top padding-8\">\n                <div class=\"text-center\"><h3 class=\"font-family-alt font-weight-700 letter-spacing-2 text-uppercase xs-title-small title-medium title-sideline-base-color\">Gold<\/h3><\/div>\n            <\/div>[\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]<strong>Cubist Systematic Strategies<\/strong> is the systematic investing business of Point72. We deploy systematic, computer-driven trading strategies across multiple liquid asset classes. The core of our effort is rigorous research into a wide range of market anomalies, driven by our passion to understand the world around us and fueled by unparalleled access to a wide range of publicly available data sources.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_column_text]<a href=\"https:\/\/point72.com\/cubist\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-1501 aligncenter\" src=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/10\/Cubist-Logo-Primary-256x300.png\" alt=\"\" width=\"256\" height=\"300\" srcset=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/10\/Cubist-Logo-Primary-256x300.png 256w, https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/10\/Cubist-Logo-Primary-873x1024.png 873w, https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/10\/Cubist-Logo-Primary-768x900.png 768w, https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/10\/Cubist-Logo-Primary-1310x1536.png 1310w, https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/10\/Cubist-Logo-Primary-1747x2048.png 1747w\" sizes=\"auto, (max-width: 256px) 100vw, 256px\" \/><\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<a href=\"https:\/\/www.qwak.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1509 aligncenter\" src=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/10\/Qwak-logo300x100.png\" alt=\"\" width=\"300\" height=\"124\" \/><\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<strong>Qwak<\/strong> simplifies the productionisation of machine learning models. Qwak\u2019s ML Platform empowers data science and ML engineering teams to productionize models at scale.<\/p>\n<p>By abstracting the complexities of feature engineering, model deployment, integration and optimization, Qwak brings agility and high-velocity to all ML initiatives designed to transform business, innovate, and create a clear competitive advantage.[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;]<div class=\"no-padding-rl no-padding-top padding-8\">\n                <div class=\"text-center\"><h3 class=\"font-family-alt font-weight-700 letter-spacing-2 text-uppercase xs-title-small title-medium title-sideline-base-color\">Community<\/h3><\/div>\n            <\/div>[\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<strong>Don\u2019t Use This Code<\/strong> wants you to be a better data scientist or data analyst. We believe the path to industry-leading data science and data analysis goes through a deep investment in open source scientific computing, both in terms of supporting the community and also in terms of developing expertise with the tools.<br \/>\nJoin us for an upcoming training session free to the public \u2014 <a href=\"http:\/\/learning.dutc.io\/\">http:\/\/learning.dutc.io\/<\/a> \u2014 reach out to us about corporate training for your team \u2014 (<a href=\"http:\/\/dutc.io\/\">http:\/\/dutc.io\/<\/a> \u2014 our trainings are completely custom and the best in the world; connect with us \u2014 <a href=\"https:\/\/www.linkedin.com\/company\/dont-use-this-code\/\">https:\/\/www.linkedin.com\/company\/dont-use-this-code\/<\/a> \u2014 about consulting projects; we will help you do things you never imagined possible.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_column_text]<a href=\"http:\/\/dutc.io\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1555 size-medium\" src=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/11\/DUTC_Logo_Stacked_White_654px-300x103.png\" alt=\"\" width=\"300\" height=\"103\" srcset=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/11\/DUTC_Logo_Stacked_White_654px-300x103.png 300w, https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/11\/DUTC_Logo_Stacked_White_654px.png 654w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<a href=\"https:\/\/www.pearson.com\/us\/\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1571 aligncenter\" src=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/11\/330px-Pearson_logo.svg_.png\" alt=\"\" width=\"330\" height=\"99\" srcset=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/11\/330px-Pearson_logo.svg_.png 330w, https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/11\/330px-Pearson_logo.svg_-300x90.png 300w\" sizes=\"auto, (max-width: 330px) 100vw, 330px\" \/><\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]Our world-class tools, content, products, and services are designed to help people adapt to our changing world, navigate its challenges and opportunities, and ultimately make progress in their lives. Because where learning flourishes, so do people.[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;200px&#8221;][vc_row_inner][vc_column_inner][vc_column_text] PyData NYC 2022 could not happen without support from amazing sponsors. Are you interested in becoming a sponsor? If so, please see our sponsorship prospectus. [\/vc_column_text][vc_btn title=&#8221;View Sponsorship Prospectus&#8221; style=&#8221;classic&#8221; shape=&#8221;square&#8221; color=&#8221;peacoc&#8221; align=&#8221;center&#8221; i_icon_fontawesome=&#8221;fas fa-file-alt&#8221; add_icon=&#8221;true&#8221; link=&#8221;url:https%3A%2F%2Fpydatanyc2022.wpengine.com%2Fwp-content%2Fuploads%2F2022%2F07%2FPyData-2022-Sponsorship-Prospectus-v4.pdf|target:_blank&#8221; css=&#8221;.vc_custom_1657222799031{margin-bottom: 100px !important;}&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]Founded [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":1412,"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-765","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Sponsor | 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\/sponsors\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sponsor | PyData NYC 2022\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;200px&#8221;][vc_row_inner][vc_column_inner][vc_column_text] PyData NYC 2022 could not happen without support from amazing sponsors. Are you interested in becoming a sponsor? If so, please see our sponsorship prospectus. [\/vc_column_text][vc_btn title=&#8221;View Sponsorship Prospectus&#8221; style=&#8221;classic&#8221; shape=&#8221;square&#8221; color=&#8221;peacoc&#8221; align=&#8221;center&#8221; i_icon_fontawesome=&#8221;fas fa-file-alt&#8221; add_icon=&#8221;true&#8221; link=&#8221;url:https%3A%2F%2Fpydatanyc2022.wpengine.com%2Fwp-content%2Fuploads%2F2022%2F07%2FPyData-2022-Sponsorship-Prospectus-v4.pdf|target:_blank&#8221; css=&#8221;.vc_custom_1657222799031{margin-bottom: 100px !important;}&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]Founded [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/pydata.org\/nyc2022\/sponsors\/\" \/>\n<meta property=\"og:site_name\" content=\"PyData NYC 2022\" \/>\n<meta property=\"article:modified_time\" content=\"2022-11-10T19:31:26+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/03\/PyData_logo_ICON.png\" \/>\n\t<meta property=\"og:image:width\" content=\"5000\" \/>\n\t<meta property=\"og:image:height\" content=\"5000\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/03\/cropped-PyData_logo_ICON.png\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"11 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/sponsors\\\/\",\"url\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/sponsors\\\/\",\"name\":\"Sponsor | PyData NYC 2022\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/sponsors\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/sponsors\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/cropped-PyData_logo_ICON.png\",\"datePublished\":\"2021-04-02T21:13:21+00:00\",\"dateModified\":\"2022-11-10T19:31:26+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/sponsors\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/sponsors\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/sponsors\\\/#primaryimage\",\"url\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/cropped-PyData_logo_ICON.png\",\"contentUrl\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/cropped-PyData_logo_ICON.png\",\"width\":512,\"height\":512},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/sponsors\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Sponsor\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/#website\",\"url\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/\",\"name\":\"PyData Global 2021\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/#organization\",\"name\":\"PyData Global 2021\",\"url\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/pydata21.wpengine.com\\\/wp-content\\\/uploads\\\/2021\\\/01\\\/favicon.png\",\"contentUrl\":\"https:\\\/\\\/pydata21.wpengine.com\\\/wp-content\\\/uploads\\\/2021\\\/01\\\/favicon.png\",\"width\":512,\"height\":512,\"caption\":\"PyData Global 2021\"},\"image\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/nyc2022\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Sponsor | PyData NYC 2022","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/pydata.org\/nyc2022\/sponsors\/","og_locale":"en_US","og_type":"article","og_title":"Sponsor | PyData NYC 2022","og_description":"[vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;200px&#8221;][vc_row_inner][vc_column_inner][vc_column_text] PyData NYC 2022 could not happen without support from amazing sponsors. Are you interested in becoming a sponsor? If so, please see our sponsorship prospectus. [\/vc_column_text][vc_btn title=&#8221;View Sponsorship Prospectus&#8221; style=&#8221;classic&#8221; shape=&#8221;square&#8221; color=&#8221;peacoc&#8221; align=&#8221;center&#8221; i_icon_fontawesome=&#8221;fas fa-file-alt&#8221; add_icon=&#8221;true&#8221; link=&#8221;url:https%3A%2F%2Fpydatanyc2022.wpengine.com%2Fwp-content%2Fuploads%2F2022%2F07%2FPyData-2022-Sponsorship-Prospectus-v4.pdf|target:_blank&#8221; css=&#8221;.vc_custom_1657222799031{margin-bottom: 100px !important;}&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;12px&#8221;][vc_column_text]Founded [&hellip;]","og_url":"https:\/\/pydata.org\/nyc2022\/sponsors\/","og_site_name":"PyData NYC 2022","article_modified_time":"2022-11-10T19:31:26+00:00","og_image":[{"width":5000,"height":5000,"url":"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/03\/PyData_logo_ICON.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_image":"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/03\/cropped-PyData_logo_ICON.png","twitter_misc":{"Est. reading time":"11 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/pydata.org\/nyc2022\/sponsors\/","url":"https:\/\/pydata.org\/nyc2022\/sponsors\/","name":"Sponsor | PyData NYC 2022","isPartOf":{"@id":"https:\/\/pydata.org\/nyc2022\/#website"},"primaryImageOfPage":{"@id":"https:\/\/pydata.org\/nyc2022\/sponsors\/#primaryimage"},"image":{"@id":"https:\/\/pydata.org\/nyc2022\/sponsors\/#primaryimage"},"thumbnailUrl":"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/03\/cropped-PyData_logo_ICON.png","datePublished":"2021-04-02T21:13:21+00:00","dateModified":"2022-11-10T19:31:26+00:00","breadcrumb":{"@id":"https:\/\/pydata.org\/nyc2022\/sponsors\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/pydata.org\/nyc2022\/sponsors\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/pydata.org\/nyc2022\/sponsors\/#primaryimage","url":"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/03\/cropped-PyData_logo_ICON.png","contentUrl":"https:\/\/pydata.org\/nyc2022\/wp-content\/uploads\/2022\/03\/cropped-PyData_logo_ICON.png","width":512,"height":512},{"@type":"BreadcrumbList","@id":"https:\/\/pydata.org\/nyc2022\/sponsors\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/pydata.org\/nyc2022\/"},{"@type":"ListItem","position":2,"name":"Sponsor"}]},{"@type":"WebSite","@id":"https:\/\/pydata.org\/nyc2022\/#website","url":"https:\/\/pydata.org\/nyc2022\/","name":"PyData Global 2021","description":"","publisher":{"@id":"https:\/\/pydata.org\/nyc2022\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/pydata.org\/nyc2022\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/pydata.org\/nyc2022\/#organization","name":"PyData Global 2021","url":"https:\/\/pydata.org\/nyc2022\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/pydata.org\/nyc2022\/#\/schema\/logo\/image\/","url":"https:\/\/pydata21.wpengine.com\/wp-content\/uploads\/2021\/01\/favicon.png","contentUrl":"https:\/\/pydata21.wpengine.com\/wp-content\/uploads\/2021\/01\/favicon.png","width":512,"height":512,"caption":"PyData Global 2021"},"image":{"@id":"https:\/\/pydata.org\/nyc2022\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/pydata.org\/nyc2022\/wp-json\/wp\/v2\/pages\/765","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pydata.org\/nyc2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pydata.org\/nyc2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pydata.org\/nyc2022\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/pydata.org\/nyc2022\/wp-json\/wp\/v2\/comments?post=765"}],"version-history":[{"count":0,"href":"https:\/\/pydata.org\/nyc2022\/wp-json\/wp\/v2\/pages\/765\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pydata.org\/nyc2022\/wp-json\/wp\/v2\/media\/1412"}],"wp:attachment":[{"href":"https:\/\/pydata.org\/nyc2022\/wp-json\/wp\/v2\/media?parent=765"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}