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Intro: ArcGIS Pro Notebooks = Jupyter notebooks
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Classroom Contents
Beginner Python in ArcGIS Pro Notebooks - Geospatial Data Analysis Skills
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- 1 Intro: ArcGIS Pro Notebooks = Jupyter notebooks
- 2 The “data science notebook” metaphor and why it matters
- 3 ArcGIS Notebooks inside ArcGIS Pro and beyond Esri
- 4 Why Python matters for geospatial careers
- 5 Quick intro to pandas why it’s important
- 6 ArcPy overview Python in the ArcGIS Pro ecosystem
- 7 Python environments + Package Manager libraries & setup
- 8 Create and organize a new notebook in ArcGIS Pro
- 9 Notebook cells: code vs markdown, running cells
- 10 Python basics: variables, strings, and data types
- 11 Using the type function to inspect data types
- 12 Printing + f-strings clean output with variables
- 13 Lists: creating, printing, and indexing
- 14 Dictionaries: key-value pairs and why they’re useful
- 15 Conditionals: if / elif / else + indentation rules
- 16 Loops: iterating through a list
- 17 pandas in ArcGIS Pro: confirming it’s available
- 18 Import pandas, build a DataFrame, and plot a bar chart
- 19 Wrap-up: where this workflow goes next for spatial analysis
