{"id":339931,"date":"2020-05-12T18:17:12","date_gmt":"2020-05-13T01:17:12","guid":{"rendered":"https:\/\/www.esri.com\/about\/newsroom\/?post_type=arcuser&#038;p=339931"},"modified":"2020-06-01T18:02:10","modified_gmt":"2020-06-02T01:02:10","slug":"agolnotebooks","status":"publish","type":"arcuser","link":"https:\/\/www.esri.com\/about\/newsroom\/arcuser\/agolnotebooks","title":{"rendered":"ArcGIS Notebooks for ArcGIS Online Beta"},"author":1031,"featured_media":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","castos_file_data":"","podmotor_file_id":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","_links_to":"","_links_to_target":""},"categories":[10712,10392,25052],"tags":[335362,451811,278902,198052,276362,201052],"arcuser_issues":[445651],"class_list":["post-339931","arcuser","type-arcuser","status-publish","format-standard","hentry","category-arcgis-api-for-python","category-arcgis-online","category-software-and-data","tag-arcgis-notebooks","tag-arcuser-spring-2020","tag-data-science","tag-jupyter-notebook","tag-open-source","tag-python","arcuser_issues-spring-2020"],"acf":{"short_description":"ArcGIS Notebooks is available in beta in ArcGIS Online so users can access standard analysis tools in ArcGIS API for Python and access ArcPy.","pdf":{"host_remotely":false,"file":"","file_url":""},"flexible_content":[{"acf_fc_layout":"pdf","file":339941},{"acf_fc_layout":"content","content":"ArcGIS Notebooks is also available in beta within ArcGIS Online. Users can leverage ArcGIS Notebooks to access standard analysis tools through the ArcGIS API for Python as well as access more than 1,400 geoprocessing tools via ArcPy. ArcGIS Python libraries can be combined with hundreds of open-source Python libraries and be used to solve complex analytical problems.\r\n\r\nIn ArcGIS Online, there are three options for ArcGIS Notebooks:\r\n<ul>\r\n \t<li>Standard<\/li>\r\n \t<li>Advanced<\/li>\r\n \t<li>Advanced with GPU Support<\/li>\r\n<\/ul>\r\nDuring the public beta, activities such as running analysis using a built-in tool or accessing premium content from the ArcGIS Living Atlas of the World, will still consume credits as they normally would.\r\n\r\nThe Standard option, an ideal one for administrators wishing to automate processes, includes the ArcGIS API for Python and open-source Python libraries. This option consumes less compute and memory resources than other options. After the beta ends, ArcGIS Notebooks Standard will require no additional credits to create or run.\r\n\r\nThe Advanced option, which includes ArcPy, in addition to the ArcGIS API for Python and open-source libraries, provides a moderate amount of compute and memory resources and is suitable for most workflows. After the beta ends, ArcGIS Notebooks Advanced will consume credits to create or run.\r\n\r\nThe Advanced with GPU Support option adds dedicated GPU infrastructure and capabilities in addition to ArcGIS Python and open-source libraries, which allows for computationally intensive deep learning workflows to be performed such as object detection and pixel classification. After the beta ends, ArcGIS Notebooks Advanced with GPU Support will consume credits to create or run.\r\n\r\nLearn more about <a href=\"http:\/\/go.esri.com\/arcgisnotebooks-online\">ArcGIS Notebooks in ArcGIS Online<\/a>."}],"references":null},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ArcGIS Notebooks for ArcGIS Online Beta<\/title>\n<meta name=\"description\" content=\"ArcGIS Notebooks is available in beta in ArcGIS Online so users can leverage it to access standard analysis tools through the ArcGIS API for Python and access ArcPy geoprocessing tools, ArcGIS Python libraries and open-source Python libraries and be used to solve complex analytical problems.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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