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 that teaches 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. Topics include:

Designing effective GIS Python solutions
ArcPy and ArcGIS API for Python basics
Using imagery and GeoAI for advanced analysis
Object-oriented programming
Delivering work in various formats: Python scripts, Jupyter Notebook, ArcGIS Pro tools, geoprocessing services, and web applications
Data engineering and manipulation techniques
Managing ArcGIS Enterprise, ArcGIS Online, and other portal administration

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 and become more proficient and capable in your work.

About the Authors

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.

Daniel Yaw, GISP, is a Solutions Architect with HERE Technologies. Dan has over 15 years of experience in GIS, including Esri’s own Advanced Enterprise Systems team. He has a passion for developing cutting-edge technology and a proven track record of designing and implementing efficient and innovative enterprise-grade geospatial solutions.

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