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Added 14 samples to the yaml file with the appropriate thumbnails.:
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items_metadata.yaml

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description: In this notebook example, we used Sentinel-2 data in order to perform remote sensing.
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licenseInfo: ""
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tags: ["Data Science", "GIS", "Wildfire", "Sentinel-2"]
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- title: Interactive raster analytics using Jupyter Dashboards
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=f4e7815c90064f4bb058a1f7c9fdc745
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path: ./samples/02_power_users_developers/jupyter_dashboard_for_raster_analytics.ipynb
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thumbnail: ./static/thumbnails/jupyter_dashboard_for_raster_analytics.PNG
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snippet: Jupyter dashboard for raster analytics
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description: This sample illustrates one such app which can be used to detect the changes in vegetation between the two dates.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Dashboard"]
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- title: Exploring OpenStreetMap using Pandas and the Python API
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=1fcf2158a8844b3fa2fec87b9b9bbc51
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path: ./samples/02_power_users_developers/openstreetmap_exploration.ipynb
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thumbnail: ./static/thumbnails/openstreetmap_exploration.PNG
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snippet: OpenStreetMap exploration
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description: Develop map-driven tools to explore OSM with the full capabilities of the ArcGIS platform
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Open Street Map"]
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- title: A dashboard to explore world population
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=a2d94e983a354b608ee60e29011ed02f
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path: ./samples/02_power_users_developers/population_exploration_dashboard.ipynb
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thumbnail: ./static/thumbnails/population_exploration_dashboard.PNG
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snippet: Population exploration dashboard
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description: This sample illustrates one such app which can be used to detect the changes in vegetation between the two dates. Increases in vegetation are shown in green, and decreases are shown in magenta.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Population", "Dashboard"]
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- title: Tour the World with Landsat Imagery and Raster Functions
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=6e08b2b2be7948258440cfca8821d7b8
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path: ./samples/02_power_users_developers/tour_the_world_with_landsat_imagery_and_raster_functions.ipynb
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thumbnail: ./static/thumbnails/tour_the_world_with_landsat_imagery_and_raster_functions.PNG
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snippet: tour the world with landsat imagery and raster functions
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description: This notebook provides links to interesting locations using different band combinations of Landsat 8 imagery.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Raster", "Functions", "Landsat"]
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- title: Using Geometry Functions
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=4d09e890e36b446f8aaa17e366e58b80
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path: ./samples/02_power_users_developers/using_geometry_functions.ipynb
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thumbnail: ./static/thumbnails/using_geometry_functions.PNG
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snippet: using geometry functions
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description: This notebook uses the arcgis.geometry module to compute the length of a path that the user draws on the map.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Geometry"]
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- title: Using Geoprocessing Tools
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=5a5839d87b4645e685bcd46d79995358
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path: ./samples/02_power_users_developers/using_geoprocessing_tools.ipynb
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thumbnail: ./static/thumbnails/using_geoprocessing_tools.PNG
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snippet: using geoprocessing tools
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description: The analysis below uses a geoprocessing tool to deduce the path that the debris of a crashed airplane would take if it went down at different places in the ocean.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Geoprocessing tools"]
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- title: Hey GIS, Give me a map of the recent natural disasters
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=7eae3c9f586f4d7ab7494b0494c9a97c
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path: ./samples/05_content_publishers/hey_gis_give_me_a_map_of_the_recent_natural_disasters.ipynb
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thumbnail: ./static/thumbnails/hey_gis_give_me_a_map_of_the_recent_natural_disasters.PNG
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snippet: hey gis give me a map of the recent natural disasters
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description: The sample notebook takes advantage of NASA's Earth Observatory Natural Event Tracker (EONET) API to collect a curated and continuously updated set of natural event metadata, and transform them into ArcGIS FeatureCollection(s) and save them into Web Maps in your GIS.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Natural Disasters", "Map"]
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- title: HTML Table to Pandas Data Frame to Portal Item
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=8bbc583569244b2daabe8079c5644fc2
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path: ./samples/05_content_publishers/html_table_to_pandas_data_frame_to_portal_item.ipynb
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thumbnail: ./static/thumbnails/html_table_to_pandas_data_frame_to_portal_item.PNG
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snippet: html table to pandas data frame to portal item
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description: This sample shows how Pandas can be used to extract data from a table within a web page (in this case, a Wikipedia article) and how it can be then brought into the GIS for further analysis and visualization.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Table", "DataFrame"]
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- title: Identify Items That Use Insecure URLs
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=beb39a173457489f8a23e8254a8112ef
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path: ./samples/05_content_publishers/Identify_Items_That_Use_Insecure_URLs.ipynb
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thumbnail: ./static/thumbnails/Identify_Items_That_Use_Insecure_URLs.PNG
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snippet: Identify Items That Use Insecure URLs
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description: This notebook will search through all WebMap/WebScene/App Items in a portal/organization, identifying the 'insecure' ones if one or more service URLs use http\://.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Insecure URL"]
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- title: Overwriting feature layers
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=691578df03c04f88862bc61774501699
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path: ./samples/05_content_publishers/overwriting_feature_layers.ipynb
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thumbnail: ./static/thumbnails/overwriting_feature_layers.PNG
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snippet: overwriting feature layers
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description: In this sample, we edit individual features as updated datasets are available
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Overwrite", "Feature", "Layers"]
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- title: PDF Table to PDF Map
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=d4124579b757443fa0577a93ad1d07ab
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path: ./samples/05_content_publishers/pdf_table_to_pdf_map.ipynb
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thumbnail: ./static/thumbnails/pdf_table_to_pdf_map.PNG
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snippet: pdf table to pdf map
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description: This sample shows how Pandas can be used to extract data from a table within a PDF file into the GIS for further analysis and visualization
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "pdf", "Table", "Map"]
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- title: Publishing packages as web layers
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=d759771e21344942b5b67cf34439c91c
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path: ./samples/05_content_publishers/publishing_packages_as_web_layers.ipynb
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thumbnail: ./static/thumbnails/publishing_packages_as_web_layers.PNG
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snippet: publishing packages as web layers
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description: In this sample, we will observe how to publish web layers from tile, vector tile and scene layer packages.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Web", "Publish", "Layers"]
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- title: Publishing SDs, Shapefiles, and CSVs
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=a1db6db172bc49a8932daacc2ed3d3ac
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path: ./samples/05_content_publishers/publishing_sd_shapefiles_and_csv.ipynb
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thumbnail: ./static/thumbnails/publishing_sd_shapefiles_and_csv.PNG
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snippet: publishing sd shapefiles and csv
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description: This sample notebook shows how different types of GIS datasets can be added to the GIS, and published as web layers.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Shapefiles", "Publish", "CSV"]
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- title: Publishing web maps and web scenes
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url: https://geosaurus.maps.arcgis.com/home/item.html?id=9840ca386ee7480a880d84a497db41de
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path: ./samples/05_content_publishers/publishing_web_maps_and_web_scenes.ipynb
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thumbnail: ./static/thumbnails/publishing_web_maps_and_web_scenes.PNG
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snippet: publishing web maps and web scenes
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description: This sample demonstrates how to create and publish simple examples of web maps and scenes using the Python API.
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licenseInfo: ''
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tags: ['Data Science', 'GIS', "Maps", "Web Scenes", "Publish"]
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guides: []

samples/02_power_users_developers/jupyter_dashboard_for_raster_analytics.ipynb

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}
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],
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"metadata": {
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"esriNotebookRuntime": {
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"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
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"notebookRuntimeVersion": "4.0"
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},
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"extensions": {
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"jupyter_dashboards": {
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"activeView": "report_default",

samples/02_power_users_developers/openstreetmap_exploration.ipynb

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}
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"metadata": {
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"esriNotebookRuntime": {
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"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
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"notebookRuntimeVersion": "4.0"
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},
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"extensions": {
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"jupyter_dashboards": {
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"activeView": "report_default",

samples/02_power_users_developers/population_exploration_dashboard.ipynb

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}
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],
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"metadata": {
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"esriNotebookRuntime": {
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"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
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"notebookRuntimeVersion": "4.0"
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},
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"extensions": {
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"jupyter_dashboards": {
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"activeView": "report_default",

samples/02_power_users_developers/tour_the_world_with_landsat_imagery_and_raster_functions.ipynb

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"metadata": {
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"anaconda-cloud": {},
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"esriNotebookRuntime": {
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"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
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"notebookRuntimeVersion": "4.0"
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},
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",

samples/02_power_users_developers/using_geometry_functions.ipynb

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"metadata": {
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"anaconda-cloud": {},
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"esriNotebookRuntime": {
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"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
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"notebookRuntimeVersion": "4.0"
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},
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"kernelspec": {
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samples/02_power_users_developers/using_geoprocessing_tools.ipynb

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"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
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"notebookRuntimeVersion": "4.0"
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},
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"kernelspec": {
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samples/05_content_publishers/Identify_Items_That_Use_Insecure_URLs.ipynb

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"notebookRuntimeVersion": "4.0"
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},
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samples/05_content_publishers/hey_gis_give_me_a_map_of_the_recent_natural_disasters.ipynb

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"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
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"notebookRuntimeVersion": "4.0"
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},
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"kernelspec": {
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samples/05_content_publishers/html_table_to_pandas_data_frame_to_portal_item.ipynb

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"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
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"notebookRuntimeVersion": "4.0"
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},
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"kernelspec": {
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"display_name": "Python 3",
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