Python has positioned itself as a highly suitable programming / scripting language for data exploration and analysis with its rich ecosystem of libraries such as NumPy, SciPy, pandas, maptplolib, scikit-learn, etc. and interactive visualization environments such as Jupyter notebooks. The ArcGIS Python API follows suite in being your library for comprehensive analyses of geospatial data. With an intuitive design and easy to use syntax, the API opens up access to rich geoprocessing services and big data analysis capabilities of your web GIS.
Join us at this tech workshop to learn how you can use ArcGIS Python API:
· to tap into the geospatial component of your big data datasets and discern meaningful patterns
· to analyze and visualize spatial patterns in interactive Jupyter notebooks
· with other data analysis libraries to solve real world problems