Название: Esri Advanced Guide to Python in ArcGISАвтор: Dave Crawford, Daniel Yaw
Издательство: Esri Press
Год: 2025
Страниц: 268
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
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 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.
Trying to learn Python to advance your career can seem like an insurmountable task. So many of us live in the space between being a GIS professional and a Python developer, and at times the impostor syndrome can seem very real. There are so many paths you can take in the Python world, even if your primary interest is geospatial data. You could go head first into analytic and datacentric work, or you could forge into building interactive user interfaces or so many other things. When you finish Esri Advanced Guide to Python in ArcGIS, you’ll have been exposed to a variety of Python projects, allowing you to decide what paths you’re interested in.
This book is designed to help you expand your Python skillset by working hands-on and building scripts and programs with a range of focus areas. Regardless of whether you want exposure to geospatial workflows or are developing geoprocessing tools and are interested in web user interfaces, this book has a lot of value for you. The step-by-step tutorials in each of the 18 chapters help you work your way through familiar or totally new workflows and provide experience in working code and development patterns.
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.
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