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Recently, the first public beta version of the ArcGIS Python API was released. The API differs significantly from the well-known ArcPy and enables a completely new approach to maps, content, and analysis functions.<\/P>
The user of the API can enter, edit, and execute code snippets via an interactive, graphical shell and immediately receives visual feedback. The visual feedback goes far beyond the capabilities of classic, text-based shells and displays results in the form of images, HTML structures, videos, or of course also maps.<\/P>
The ArcGIS API offers the user a very focused view of the contents of an ArcGIS Portal and frees them as much as possible from technical implementation details.<\/P>
For example, entering the following code snippet in the browser window is sufficient to display a map:<\/P>
from arcgis.gis import *<\/SPAN><\/P>gis = GIS()<\/SPAN><\/P>gis.map()<\/SPAN><\/P>
<\/SPAN><\/P>Each of these notebooks can be saved in the system or made publicly available. Not only the script code can be saved, but also accompanying text and the output of the script. This approach makes development very fast and easy for third parties to understand.<\/P>Already in the beta, some sample notebooks<\/A> are provided, from which the different target groups for the API become apparent:<\/P>- Power Users and Developers<\/LI>
- Administrators<\/LI>
- GIS Analysts and Data Scientists<\/LI>
- Content Publishers<\/LI><\/OL>
The examples are loaded into the
Jupyter Notebook<\/A> and can be viewed, executed, and adapted immediately.<\/P>Users can display maps using the provided modules, search content and embed it into existing maps temporarily or persistently, or update data content. The examples include working with basemaps, big data analyses, raster analyses, cloning portal content, and much more.<\/P>
Access to usage statistics is possible for the portal administrator just as creating or assigning users is.<\/P>
For analysis purposes, not only the API itself but also the extensive content from ArcGIS Online is available. The integration of
SciPy<\/A> combined with the diverse analysis and GeoProcessing functions allows analysts a step-by-step approach to structuring and visualizing data.<\/P>
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Sign up now for the
Beta Program<\/A> and test the new API<\/A>.<\/P><\/DIV><\/BODY><\/HTML>