The ArcGIS API for Python<\/A> has quickly developed into a very powerful tool for working with Web GIS. This is certainly partly because it is a scripting language that can be used not only by experienced programmers but also by power users. Of course, scripting in Jupyter Notebooks<\/A> is enjoyable and highly interactive. Ultimately, I think it is above all the broad range of applications of the API that makes it so powerful:<\/P><\/P><\/P><\/P>Just in time for the Esri User Conference 2017<\/A>, the ArcGIS API for Python has now reached version 1.2. The new version includes some exciting new features:<\/P><\/P>New extensive API for raster analysis<\/LI>SpatialDataFrames for the Pandas library<\/A><\/LI>Automation of distributed GIS solutions (Portal-to-Portal Collaboration)<\/LI>Powerful GIS administration with a new server submodule<\/LI><\/UL><\/P>In addition, numerous other improvements have been made and bugs fixed.<\/P><\/P>If you have taken a liking to it and are wondering how to get started, then I would like to recommend the blog Three Ways to Get Jupyter Notebooks and the ArcGIS API for Python | ArcGIS Blog<\/A>. You can also find more exciting blogs in the brand new ArcGIS API for Python Explorers' Corner<\/A>.<\/P><\/P>If, on the other hand, you have specific questions, ideas, or suggestions, please let us know here or check out the GeoNet group ArcGIS API for Python<\/A>.<\/P><\/BODY><\/HTML>
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Just in time for the
In addition, numerous other improvements have been made and bugs fixed.<\/P>
If you have taken a liking to it and are wondering how to get started, then I would like to recommend the blog
If, on the other hand, you have specific questions, ideas, or suggestions, please let us know here or check out the GeoNet group
Soeben ist auf Geoawesomeness zum Thema GIS und Python ein lesenswerter Blog erschienen, den ich Euch nicht vorenthalten wollte 🙂 Why Python is the Future of Web GIS? - Geoawesomeness
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