April 2022
Intermediate to advanced
586 pages
12h 37m
English
Content preview from Python for ArcGIS Pro
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10
Geospatial Data Processing with NumPy
Data processing tools are often limited to the pre-built tools discussed in other chapters, or open-source tools such as Shapely, Rasterio, or GDAL. These tools can be limited in terms of processing speed and flexibility. When creating geospatial data workflows, you will often have to create custom tools to process data quickly, and those other libraries can be limiting.
NumPy offers a third way. Used for scientific computing, it is an incredibly fast and powerful module written in C, with a Python code “wrapper” so it can be used in your existing Python environment. It is built to read, analyze, and write multidimensional arrays of data.
Esri has included easy tools to convert rasters into NumPy arrays ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.