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Python Programming
An Introduction to Python Programming with a GIS Focus
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An Introduction to Python Programming with a GIS Focus

This self-paced course is designed to instill the basics of Python Programming by incrementally increasing your knowledge section-upon-section. Each section has a corresponding chapter of a workbook to fill out and by the end of this course you will have your very own Python reference handbook. So how does this course have a GIS focus? Simple, most elements of the course have GIS and geospatial data in mind. Instead of using non-descript variables and values, we will use terms such as population, city, x_coord, y_coord, and so on. This will aid participants with pinpointing how they can relate geospatial data to Python. There are some elements, for simplicity, we will use an alternate approach. At the end of most sections we will have a ‘GIS Use Cases’ topic which will further demonstrate where the material from the section can be applied in GIS.

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There is a skills gap when it comes to ArcPy for ArcGIS Pro and the ArcGIS API for Python with ArcGIS Online. At Final Draft Mapping we offer an avenue to boost your skills with training that suits your requirements. Our self-paced courses come with lifetime access, ensuring that you can keep up with advancements as needed. Invest in yourself or invest in your team! Learning Python, ArcPy and the ArcGIS API for Python are golden tickets to career progression and enhancing potential earnings.

Python Programming

We offer a free self-paced course packed with over 10 hours of content.

ArcGIS API for Python

Enhances automation within ArcGIS Online / Portal for aministration, content management, map production, and many more.

ArcPy

ArcPy offers an efficient pathway for automating within ArcGIS Pro desktop application.

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Excellent introductory course.

This course was excellent. Each video and associated script was very well prepared and thought out. The course material felt very comprehensive and included so many real-life examples, configurations, etc.

This course extensively covers Data Management and Geoprocessing using ArcPy. The author provides comprehensive details, making it a useful reference.

The instructor put a lot of effort into making the learning experience very smooth, this really set it apart from other instructors on Udemy. Below are what I like about the course: 1) easy to follow and clear instruction 2) use of zoom in and out of screen to make thing clear 3) comprehensive documentation in the provided python script files 4) repeat same information in different lectures. Some may consider this redundant, I consider this as thoughtful, because I may not watch the lectures in order, so it may be the first time I hear about certain things, even if it has been said in previous lectures.