
Esri Advanced Guide to Python in ArcGIS
Description
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Solving complex geospatial problems and delivering solutions has never been easier.
Ready to take your Python knowledge to the next level? Esri Advanced Guide to Python in ArcGIS guides working GIS professionals through integrating Python with ArcGIS capabilities with increasing complexity through each consecutive chapter. Every chapter includes a project teaching technical skills and problem-solving applicable to practical, job-focused assignments, including understanding client needs, performing market analytics, and managing ArcGIS Online organizations.¿
Esri Advanced Guide to Python in ArcGIS uses step-by-step tutorials with an informal, conversational style of writing so you can easily follow and immediately apply the skills explained. Perfect for intermediate to advanced programmers looking to enhance their GIS capabilities, Esri Advanced Guide to Python in ArcGIS will quickly help you become skilled at using Python for geospatial solutions.
Dave Crawford¿is a technical consultant and Python developer with Esri's Professional Services division based in Oakland, CA. Prior to his work with geospatial data, he was an archaeologist. Now he spends his time designing and implementing data engineering and automation solutions.
Daniel Yaw, GISP, is a GIS and location intelligence solutions manager with HERE Technologies. Dan has more than 15 years of experience in GIS, including Esri's Advanced Enterprise Systems team. He has a passion for developing cutting-edge technology and a track record of designing and implementing efficient and innovative enterprise-grade geospatial solutions.
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Dave Crawford is a technical consultant and Python developer with Esri's Professional Services division based in Oakland, CA. Prior to his time working with geospatial data, he was an archaeologist. Now he spends his time designing and implementing data engineering and automation solutions.
Content
Introduction
Chapter 1 Designing your python solution
Chapter 2 Data structures and flow
Chapter 3 ArcPY Basics
Chapter 4 ArcGIS python API basics
Chapter 5 Object Oriented Programming
Chapter 6 Interactive python and notebooks
Chapter 7 Web APIs
Chapter 8 Data manipulation
Chapter 9 Data engineering
Chapter 10 Concurrency and parallelism
Chapter 11 Data visualization
Chapter 12 Interacting with databases
Chapter 13 Geoprocessing and toolboxes
Chapter 14 ArcGIS Enterprise and ArcGIS Online Administration
Chapter 15 Web frameworks
Chapter 16 Distributing your code
Chapter 17 Documenting your code
Chapter 18 Imagery and GeoAI
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File format: ePUB
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use a reading software that can process the file format ePUB: e.g., Adobe Digital Editions or FBReader – both free (see eBook Help).
- Tablet/Smartphone (Android; iOS): Before downloading, install the free app Adobe Digital Editions (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePUB works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.