Features of ArcGIS API for Python
Geospatial deep learning
Leverage specialized deep learning algorithms for workflows such as pixel and image classification, object detection, and instance segmentation. Access tools that help with every step of the workflow, including preparing data, training models, deploying them to making inferences, and disseminating results for decision-making.
Work with geospatial big data
Tap into distributed processing via ArcGIS API for Python in conjunction with ArcGIS GeoAnalytics to visualize spatial big data, analyze relationships, explore multiple dimensions across geographies, and predict or model events in meaningful ways.
Imagery and raster analysis
Perform distributed batch analysis on raster and imagery data with over 140 raster functions that enable math operations, data management, advanced analysis, and more. Create raster function chains that allow the output of one function to be used as an input for another to build an entire raster analytical workflow easily.
Interoperability with the Python ecosystem
Effortlessly analyze and visualize spatial data using spatially enabled DataFrames built on top of pandas. Perform queries and transformations, and easily integrate with hundreds of open-source scientific Python libraries such as Scikit-Learn, Seaborn, and NumPy for your analytical workflows.
Get started with ArcGIS API for Python
Access via conda install -c esri arcgis
Start with ArcGIS Developer
Get the capabilities of ArcGIS API for Python with an ArcGIS Developer subscription. Start for free with the Essentials Plan and pay as you go for more features.
Get started with ArcGIS Notebooks
Leverage the capabilities of ArcGIS API for Python in ArcGIS Notebooks, an integrated Jupyter environment that seamlessly lives within ArcGIS.
Installation guide
Learn how to install ArcGIS API for Python and set it up.
Get started with these helpful resources
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