{"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":"2022-07-28T22:53:38","modified_gmt":"2022-07-28T22:53:38","slug":"sponsors","status":"publish","type":"page","link":"https:\/\/pydata.org\/yerevan2022\/sponsors\/","title":{"rendered":"Sponsor"},"content":{"rendered":"

[vc_row][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_empty_space height=”200px”]

\n

Thanks to This Year's Sponsors<\/h3><\/div>\n <\/div>[vc_row_inner][vc_column_inner][vc_column_text]<\/p>\n

PyData Yerevan 2022 could not happen without support from amazing sponsors. Are you interested in becoming a sponsor? If so, please see our sponsorship prospectus<\/a>.<\/p>\n

[\/vc_column_text][vc_btn title=”View Sponsorship Prospectus” style=”outline” shape=”square” color=”black” align=”center” i_icon_fontawesome=”fas fa-file-alt” add_icon=”true” link=”url:https%3A%2F%2Fpydata.org%2Fyerevan2022%2Fwp-content%2Fuploads%2F2022%2F06%2FPyData-2022-Yerevan-Sponsorship-Prospectus-1.pdf|target:_blank” css=”.vc_custom_1655222700581{margin-bottom: 100px !important;}”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row disable_element=”yes” opacity_bg_pattern=”0.1″][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text]\"\"[\/vc_column_text][\/vc_column][vc_column width=”3\/4″]

\n

Platinum<\/h3><\/div>\n <\/div>[vc_empty_space height=”12px”][vc_column_text]Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.[\/vc_column_text][\/vc_column][\/vc_row][vc_row disable_element=”yes” opacity_bg_pattern=”0.1″][vc_column width=”3\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_empty_space height=”12px”][vc_column_text]Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.[\/vc_column_text][\/vc_column][vc_column width=”1\/4″][vc_column_text]\"\"[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”]
\n

Platinum<\/h3><\/div>\n <\/div>[vc_separator color=”peacoc”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text]\"\"<\/a>[\/vc_column_text][\/vc_column][vc_column width=”3\/4″][vc_empty_space height=”12px”][vc_column_text]NVIDIA’S<\/strong> INVENTION OF THE GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI \u2014 the next era of computing \u2014 with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_separator color=”turquoise”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column width=”3\/4″][vc_empty_space height=”12px”][vc_column_text]Quantori<\/span>\u00a0<\/strong>is an end-to-end digital IT service provider for the life science and healthcare industries. With over 100 years of combined experience in the life sciences industry,\u00a0Quantori<\/span> aims to help biotech and pharma clients unlock the power of digital IT for their business. Our projects have to do with: Scientific Informatics – Laboratory Informatics – Data Science – Cloud Engineering – High-Performance Computing – Artificial Intelligence.[\/vc_column_text][\/vc_column][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text]\"\"<\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_separator color=”peacoc”]
\n

Gold<\/h3><\/div>\n <\/div>[vc_separator color=”peacoc”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column width=”3\/4″][vc_empty_space height=”12px”][vc_column_text]Aim<\/strong> is an open-source, self-hosted ML experiment tracking tool. It’s good at tracking lots (1000s) of training runs and it allows you to compare them with a performant and beautiful UI. <\/span>You can use not only the great Aim UI but also its SDK to query your runs’ metadata programmatically. That’s especially useful for automations and additional analysis on a Jupyter Notebook. <\/span>Aim’s mission is to democratize AI dev tools.<\/span>[\/vc_column_text][\/vc_column][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text]<\/p>\n

\"\"<\/a><\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_separator color=”peacoc”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text]\"\"<\/a>[\/vc_column_text][\/vc_column][vc_column width=”3\/4″][vc_empty_space height=”12px”][vc_column_text]At <\/span>Plat.ai<\/b> we are providing real-time predictive analytics services to a wide range of clients. We meet them where they are and take them to the level of an AI-driven enterprise by automating the core decision-making processes.<\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_separator color=”peacoc”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column width=”3\/4″][vc_empty_space height=”12px”][vc_column_text]<\/p>\n

Grid<\/span> Dynamics<\/span><\/strong> is a publicly-traded end-to-end software engineering, information technology consulting company working with enterprise clients across numerous industries. And our esteemed clients are some of the most respected brands in the world, so there\u2019s a great chance you\u2019ve seen our work!<\/p>\n

We bring deep expertise in customer experience, data analytics, and cloud, powered by top global engineering talent, lean software development practices, and high-performance product culture. The key to our success has been a business culture that puts products over projects, customer success over contract terms, and real business results over pure technical innovation.<\/p>\n

[\/vc_column_text][\/vc_column][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text]\"\"<\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_separator color=”peacoc”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text]\"\"<\/a>[\/vc_column_text][\/vc_column][vc_column width=”3\/4″][vc_empty_space height=”12px”][vc_column_text]WorldQuant<\/strong> is a global quantitative asset management firm guided by the belief that there are an infinite number of insights to discover. Fueled by divergent thinking and a relentless pursuit of ideas, WorldQuant\u2019s more than 750 employees around the globe are all striving to get to the future faster.<\/u>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][\/vc_column][\/vc_row][vc_row disable_element=”yes” opacity_bg_pattern=”0.1″][vc_column width=”1\/2″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_separator color=”peacoc”][\/vc_column][vc_column width=”1\/2″][\/vc_column][\/vc_row][vc_row disable_element=”yes” opacity_bg_pattern=”0.1″][vc_column width=”3\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_empty_space height=”12px”][vc_column_text]Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.[\/vc_column_text][\/vc_column][vc_column width=”1\/4″][vc_column_text]\"\"[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_separator color=”turquoise”]

\n

Silver<\/h3><\/div>\n <\/div>[\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_separator color=”peacoc”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column width=”3\/4″][vc_empty_space height=”12px”][vc_column_text]LabelMe<\/strong> provides data collection and data annotation services for machine learning and artificial intelligence technologies.[\/vc_column_text][\/vc_column][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text]\"\"<\/a>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_separator color=”turquoise”][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_empty_space height=”200px”][vc_row_inner][vc_column_inner][vc_column_text] PyData Yerevan 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=”View Sponsorship Prospectus” style=”outline” shape=”square” color=”black” align=”center” i_icon_fontawesome=”fas fa-file-alt” add_icon=”true” link=”url:https%3A%2F%2Fpydata.org%2Fyerevan2022%2Fwp-content%2Fuploads%2F2022%2F06%2FPyData-2022-Yerevan-Sponsorship-Prospectus-1.pdf|target:_blank” css=”.vc_custom_1655222700581{margin-bottom: 100px !important;}”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row disable_element=”yes” opacity_bg_pattern=”0.1″][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text][\/vc_column_text][\/vc_column][vc_column […]<\/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":"\nSponsor | PyData Yerevan 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\/yerevan2022\/sponsors\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sponsor | PyData Yerevan 2022\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_empty_space height=”200px”][vc_row_inner][vc_column_inner][vc_column_text] PyData Yerevan 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=”View Sponsorship Prospectus” style=”outline” shape=”square” color=”black” align=”center” i_icon_fontawesome=”fas fa-file-alt” add_icon=”true” link=”url:https%3A%2F%2Fpydata.org%2Fyerevan2022%2Fwp-content%2Fuploads%2F2022%2F06%2FPyData-2022-Yerevan-Sponsorship-Prospectus-1.pdf|target:_blank” css=”.vc_custom_1655222700581{margin-bottom: 100px !important;}”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row disable_element=”yes” opacity_bg_pattern=”0.1″][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text][\/vc_column_text][\/vc_column][vc_column […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/pydata.org\/yerevan2022\/sponsors\/\" \/>\n<meta property=\"og:site_name\" content=\"PyData Yerevan 2022\" \/>\n<meta property=\"article:modified_time\" content=\"2022-07-28T22:53:38+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/pydata.org\/yerevan2022\/wp-content\/uploads\/2021\/01\/favicon.png\" \/>\n\t<meta property=\"og:image:width\" content=\"512\" \/>\n\t<meta property=\"og:image:height\" content=\"512\" \/>\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\/yerevan2022\/wp-content\/uploads\/2021\/01\/favicon.png\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/sponsors\\\/\",\"url\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/sponsors\\\/\",\"name\":\"Sponsor | PyData Yerevan 2022\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/sponsors\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/sponsors\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/cropped-PyData_logo_ICON.png\",\"datePublished\":\"2021-04-02T21:13:21+00:00\",\"dateModified\":\"2022-07-28T22:53:38+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/sponsors\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/sponsors\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/sponsors\\\/#primaryimage\",\"url\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/cropped-PyData_logo_ICON.png\",\"contentUrl\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/cropped-PyData_logo_ICON.png\",\"width\":512,\"height\":512},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/sponsors\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Sponsor\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/#website\",\"url\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/\",\"name\":\"PyData Global 2021\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/#organization\",\"name\":\"PyData Global 2021\",\"url\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/pydata.org\\\/yerevan2022\\\/#\\\/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\\\/yerevan2022\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Sponsor | PyData Yerevan 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\/yerevan2022\/sponsors\/","og_locale":"en_US","og_type":"article","og_title":"Sponsor | PyData Yerevan 2022","og_description":"[vc_row][vc_column css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_empty_space height=”200px”][vc_row_inner][vc_column_inner][vc_column_text] PyData Yerevan 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=”View Sponsorship Prospectus” style=”outline” shape=”square” color=”black” align=”center” i_icon_fontawesome=”fas fa-file-alt” add_icon=”true” link=”url:https%3A%2F%2Fpydata.org%2Fyerevan2022%2Fwp-content%2Fuploads%2F2022%2F06%2FPyData-2022-Yerevan-Sponsorship-Prospectus-1.pdf|target:_blank” css=”.vc_custom_1655222700581{margin-bottom: 100px !important;}”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row disable_element=”yes” opacity_bg_pattern=”0.1″][vc_column width=”1\/4″ css=”.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}”][vc_column_text][\/vc_column_text][\/vc_column][vc_column […]","og_url":"https:\/\/pydata.org\/yerevan2022\/sponsors\/","og_site_name":"PyData Yerevan 2022","article_modified_time":"2022-07-28T22:53:38+00:00","og_image":[{"width":512,"height":512,"url":"https:\/\/pydata.org\/yerevan2022\/wp-content\/uploads\/2021\/01\/favicon.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_image":"https:\/\/pydata.org\/yerevan2022\/wp-content\/uploads\/2021\/01\/favicon.png","twitter_misc":{"Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/pydata.org\/yerevan2022\/sponsors\/","url":"https:\/\/pydata.org\/yerevan2022\/sponsors\/","name":"Sponsor | PyData Yerevan 2022","isPartOf":{"@id":"https:\/\/pydata.org\/yerevan2022\/#website"},"primaryImageOfPage":{"@id":"https:\/\/pydata.org\/yerevan2022\/sponsors\/#primaryimage"},"image":{"@id":"https:\/\/pydata.org\/yerevan2022\/sponsors\/#primaryimage"},"thumbnailUrl":"https:\/\/pydata.org\/yerevan2022\/wp-content\/uploads\/2022\/03\/cropped-PyData_logo_ICON.png","datePublished":"2021-04-02T21:13:21+00:00","dateModified":"2022-07-28T22:53:38+00:00","breadcrumb":{"@id":"https:\/\/pydata.org\/yerevan2022\/sponsors\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/pydata.org\/yerevan2022\/sponsors\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/pydata.org\/yerevan2022\/sponsors\/#primaryimage","url":"https:\/\/pydata.org\/yerevan2022\/wp-content\/uploads\/2022\/03\/cropped-PyData_logo_ICON.png","contentUrl":"https:\/\/pydata.org\/yerevan2022\/wp-content\/uploads\/2022\/03\/cropped-PyData_logo_ICON.png","width":512,"height":512},{"@type":"BreadcrumbList","@id":"https:\/\/pydata.org\/yerevan2022\/sponsors\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/pydata.org\/yerevan2022\/"},{"@type":"ListItem","position":2,"name":"Sponsor"}]},{"@type":"WebSite","@id":"https:\/\/pydata.org\/yerevan2022\/#website","url":"https:\/\/pydata.org\/yerevan2022\/","name":"PyData Global 2021","description":"","publisher":{"@id":"https:\/\/pydata.org\/yerevan2022\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/pydata.org\/yerevan2022\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/pydata.org\/yerevan2022\/#organization","name":"PyData Global 2021","url":"https:\/\/pydata.org\/yerevan2022\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/pydata.org\/yerevan2022\/#\/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\/yerevan2022\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/pydata.org\/yerevan2022\/wp-json\/wp\/v2\/pages\/765","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pydata.org\/yerevan2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pydata.org\/yerevan2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pydata.org\/yerevan2022\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/pydata.org\/yerevan2022\/wp-json\/wp\/v2\/comments?post=765"}],"version-history":[{"count":0,"href":"https:\/\/pydata.org\/yerevan2022\/wp-json\/wp\/v2\/pages\/765\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pydata.org\/yerevan2022\/wp-json\/wp\/v2\/media\/1412"}],"wp:attachment":[{"href":"https:\/\/pydata.org\/yerevan2022\/wp-json\/wp\/v2\/media?parent=765"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}