🔅 Python Scripting Using the ArcGIS API for Python

🌐 Author: Jennifer Harrison
🔰 Level: Advanced

⏰ Duration: 4h 28m

🌀 Enhance your Python and GIS skills by learning to write noscripts in Python that call the ArcGIS API to create, analyze, and manage GIS web services.

📗 Topics: ArcGIS Pro, Geographic Information Systems, Scripting

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📂 Full denoscription

In this course, Jennifer Harrison—the president of TeachMeGIS—explores the transformative power of the ArcGIS API for Python as it automates and enhances GIS tasks. Learn about the fundamentals of managing ArcGIS user accounts, maintaining web services, and executing spatial analysis efficiently. Dive into Python noscripting to adeptly handle GIS data, automate geoprocessing, and streamline GIS operations. Explore powerful Python libraries and ArcGIS Notebooks, and learn how to utilize Esri geoprocessing tools online. Find out how to automate your GIS projects, leading to improved precision and productivity. Whether you're a GIS technician, data analyst, or spatial planner, harnessing the ArcGIS API for Python will enrich your geographic data management skills.

📱Learn Python
📱Python Scripting Using the ArcGIS API for Python

📱Learn Python
📱Python Scripting Using the ArcGIS API for Python

📱Learn Python
📱Python Scripting Using the ArcGIS API for Python

📱Learn Python
📱Python Scripting Using the ArcGIS API for Python

📱Learn Python
📱Python Scripting Using the ArcGIS API for Python

📱Learn Python
📱Python Scripting Using the ArcGIS API for Python

📱Learn Python
📱Python Scripting Using the ArcGIS API for Python

🔰 Master File Paths with `pathlib` in Python

📋 The pathlib module makes working with files and directories simple, clean, and powerful — no more messy string operations!

✨ Example Output:

File Name: report.txt  
Parent Directory: /home/user/documents  
File Stem: report  
File Suffix: .txt  
Exists: True  
Is File: True  
Is Directory: False  
New Path: /home/user/documents/archive/old_report.txt  
Found File: notes.txt  
Found File: report.txt  
File copied successfully!

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🔅 Hands-On Data Science using SQL, Tableau, Python, and Spark

📝 Get practical, hands-on data science experience using SQL, Tableau, Python, and Spark.

🌐 Author: Ben Sullins
🔰 Level: Intermediate
⏰ Duration: 1h 13m

📋 Topics: Data Science, SQL, Python

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📱Learn Python
📱Hands-On Data Science using SQL, Tableau, Python, and Spark

📦 Exercise Files

🔰 5 different ways to swap two numbers in python