The Ultimate GeoPython course
Master geospatial data analysis with Python in this comprehensive 50+ hour course. Learn vector and raster processing, satellite image analysis, web mapping, machine learning, and automation using libraries like GeoPandas, Rasterio, Streamlit, and ArcPy.
About This Course
🛰️ Mastering Geospatial Python: From Data to Dynamic Maps
A Complete 50+ Hour Guide to Vector, Raster, Remote Sensing, Machine Learning, Web Mapping & Automation
Unlock the full power of Python for geospatial analysis with this all-in-one, career-ready course. Whether you're a GIS analyst, remote sensing specialist, data scientist, or developer, this self-paced program will take you from beginner-level scripting to building powerful, automated geospatial solutions.
Learn to handle real-world spatial data, perform advanced raster and vector analysis, build interactive web apps, integrate with tools like QGIS & ArcGIS, and deploy modern cloud workflows.
💡 What You’ll Learn:
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Write efficient Python scripts for vector and raster GIS analysis
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Create stunning visualizations and interactive maps with Streamlit and Folium
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Work seamlessly with QGIS (PyQGIS) and ArcGIS (ArcPy) in Python
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Analyze LiDAR & 3D data using PDAL and open-source libraries
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Automate workflows, connect with PostGIS databases, and build RESTful spatial APIs
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Apply machine learning & deep learning to geospatial problems
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Build complete geospatial apps—from satellite image analysis to real-time web maps
This course is packed with hands-on labs, code-along demos, downloadable notebooks, and a capstone project that ties it all together.
📈 Ready to go from GIS user to geospatial developer?
🎓 Enroll now and start building the future of geospatial intelligence—with Python.
Course Stats
Course Content
Introduction to Python for GIS
Course Orientation
What You'll Learn in This Course Overview of the Geospatial Python Stack Installing Course …
Functions and Modules
Writing Functions and Returning Values …
File I/O – Reading and Writing Files
Opening, Reading, and Writing Text Files …
Error Handling and Debugging
Try, Except, and Finally
Intermediate Python Essentials
List Comprehensions Lambda …
Object-Oriented Programming (OOP)
Classes and Objects
Working with External Libraries
Installing Packages with pip/conda
Setting Up Your Python Environment
Setting up a robust Python environment is the foundation of successful GIS development. This comprehensive …
Variables & Data Types
What Is a Variable? Imagine a variable as a labeled box in …
Working with Lists, Tuples, and Dictionaries
Python provides powerful collection types to store and manage groups of related …
Control Flow – Conditions and Loops
Control flow lets your code make decisions and repeat tasks—key for any …
Vector Analysis with Python
Introduction to Vector Data
What is Vector Data? (Points, Lines, Polygons) …
Spatial Relationships and Geometry Operations
Geometry Types and Properties
Attribute Operations in GeoPandas
Filtering and Querying Features
Spatial Joins and Point-in-Polygon Analysis
What are Spatial Joins?
Coordinate Reference Systems (CRS)
Understanding EPSG Codes and Projections …
Mini Projects 1
Download and Analyze OSM Road Networks
Mini Project 2
Perform Overlay Analysis to Detect Encroachment
Reading Vector Data from Files
Reading Files with GeoPandas: .shp, .geojson, .gpkg, .kml Loading CSV/Excel with Coordinate Columns Setting …
Advanced Tools for Vector Processing
Introduction to PyGEOS for Fast Geometry Operations SpatialPandas + Datashader for Big Vector Data …
Working with Fiona and OGR
Low-Level Vector File Access with Fiona Schema Inspection and Custom Field Types Writing Complex …
Automating Vector Workflows
Writing Python Scripts for Batch Processing Traversing Directories and File Cleanup Automating Downloads and …
Accessing Vector Data from Online Sources
Downloading Vector Data via HTTP and APIs Reading from OpenStreetMap using OSMnx Using the …
Creating GIS Data in Python from Scratch
Introduction to Geometry Objects with Shapely Creating Points, Lines, and Polygons Programmatically Constructing a …
Raster Analysis with Python
Understanding Raster Geometry and CRS
Affine Transform Basics
Reading Raster Files in Python
Installing and Importing rasterio, rioxarray …
Introduction to Raster Data
What is Raster Data? (Imagery, Grids, DEMs) Common Formats: GeoTIFF, IMG, NetCDF, HDF Structure …
Clipping and Masking Rasters
Masking with Shapefiles (vector mask) …
Resampling, Reprojecting, and Mosaicking
Resampling Methods: nearest, bilinear, cubic …
Terrain and Elevation Analysis
Working with DEMs
Raster Zonal Statistics
Mean, Sum, Max, Min per Polygon Zonal Stats with rasterstats and xarray-spatial Working with …
Working with Time-Series Raster Data
Using xarray and rioxarray for 4D data (time, band, lat, lon) Loading NetCDF / …
Reading from Cloud and Web Sources
Reading Cloud-Optimized GeoTIFFs (COG) Streaming rasters using rasterio and fsspec Accessing Open Datasets (AWS, …
Automating Raster Workflows
Automating Raster Downloads (e.g., from Sentinel/S3) Batch Clipping, Resampling, and Reprojecting Writing Modular Functions …
Mini Project 1
Calculate NDVI for a Region and Export Clipped NDVI Map
Mini Project
Extract Mean Elevation per Watershed
Raster Math and Band Operations
Raster Algebra with NumPy (addition, ratio, masking) NDVI and Vegetation Indices from Multiband Images …
Visualization and Cartography in Python
Principles of Cartography and Map Design
What Makes a Good Map? Map Types: Choropleth, Thematic, Reference, Analytical Visual Hierarchy, Color, …
Static Map Plotting with GeoPandas and Matplotlib
Plotting GeoDataFrames with .plot() Theming by Attribute (colors, sizes, styles) Adding Legends, Titles, North …
Advanced Layouts with contextily and matplotlib
Adding Basemaps using contextily Creating Subplots and Inset Maps Using cartopy for Graticules and …
Interactive Maps with Folium
Creating Leaflet Maps in Python with folium Adding Points, Lines, and Choropleth Layers Adding …
Interactive Visualization with ipyleaflet and Jupyter Widgets
Creating Maps in Notebooks using ipyleaflet Adding Interactivity (click, zoom, draw tools) Integrating with …
Unified Web Mapping with leafmap
Introduction to leafmap: one-stop library for interactive maps Displaying Local & Cloud GeoTIFFs, GeoJSONs …
High-Performance Mapping with DeckPy (deck.gl)
Intro to Deck.gl and WebGL Rendering Working with DeckPy Layers: Scatterplot, Arc, Path, Grid, …
Building Web Apps with Python and GIS
Adding GIS Functionality with leafmap and streamlit-folium
Using leafmap to display raster and vector data Layer control, basemaps, drawing tools Exporting …
Introduction to Streamlit for GIS
What is Streamlit? When to use it Installing and running your first streamlit hello …
Uploading and Processing Geospatial Files
File uploader for GeoJSON, Shapefile (ZIP), CSV Extracting and displaying geometries Performing clipping, buffering, …
Building Interactive Spatial Analysis Tools
Example 1: Buffer analysis app (draw → buffer → download) Example 2: Zonal statistics …
Deploying Streamlit GIS Apps
Streamlit Cloud free hosting Deploying to Hugging Face Spaces Dockerizing Streamlit apps Adding password …
Introduction to Django and GeoDjango
Django vs Flask vs Streamlit for GIS Installing Django and setting up a project …
Creating a GeoDjango Model and Admin Interface
Defining spatial models (PointField, PolygonField, Multi*) Auto-generating admin forms with Leaflet map widgets Uploading …
Spatial Queries and Views
Spatial filters: contains, intersects, distance, etc. Serving GeoJSON via Django REST Framework Adding bounding …
Integrating Leaflet for Custom Frontend Maps
Creating custom map pages using Django templates Loading layers from backend APIs Displaying property …
Deploying a GeoDjango App
Preparing for deployment (collectstatic, media, gunicorn) Deploying to Railway, or DigitalOcean with PostGIS Using …
Create a land monitoring system
Admins upload forest boundaries Users draw encroachments Spatial overlap is calculated and saved Results …
Python & ESRI Ecosystem (ArcPy & ArcGIS API)
Introduction to ArcPy and the ArcGIS Environment
What is ArcPy? How does it differ from open-source libraries? Installing ArcPy and verifying …
Working with Data and Workspaces
Setting the workspace and listing feature classes Describing datasets (geometry, fields, projections) Copying, renaming, …
Spatial Analysis with ArcPy
Buffer, Clip, Dissolve, Erase Spatial and attribute joins Using arcpy.analysis and arcpy.management toolboxes Building …
Automating Map Documents and Layouts
Manipulating .mxd and .aprx files Exporting maps as PNG, PDF Updating layer symbology and …
Raster Analysis with ArcPy
Reading raster properties Calculating NDVI or slope from rasters Zonal statistics and reclassification Using …
Introduction to ArcGIS API for Python
What is the ArcGIS API? Where does it run? Setting up an account with …
Searching and Accessing GIS Content
Logging in and listing content Searching for feature layers, maps, web apps Inspecting layer …
Creating and Publishing GIS Content
Uploading shapefiles, CSVs, GeoJSONs Publishing hosted feature layers Updating hosted layer attributes Sharing layers …
Performing Web-based Spatial Analysis
Running buffers, overlays, geocoding from the cloud Accessing analysis tools via arcgis.analysis Working with …
Mapping and Visualization
Creating maps in notebooks with MapView Adding layers, symbols, and popups Embedding web maps …
Python & QGIS (PyQGIS & Plugin Development)
Introduction to QGIS and PyQGIS
What is QGIS? What is PyQGIS? QGIS Architecture: Project, Layers, Layouts, Processing Toolbox Setting …
Navigating the QGIS Python API
QgsProject, QgsVectorLayer, QgsRasterLayer, QgsFeature Loading Layers Programmatically Working with QGIS Plugins vs Scripts Accessing …
Automating Vector and Raster Tasks
Opening Shapefiles, GeoJSONs, and TIFFs Performing Buffer, Clip, Intersection using QgsProcessing Handling geometry errors …
Customizing the QGIS Interface
Accessing the current map canvas Updating layer styles with Python Adding buttons and tools …
Writing and Registering QGIS Plugins
Anatomy of a QGIS Plugin Using Plugin Builder to scaffold a new plugin Defining …
Accessing Web and Remote Layers
Loading WMS/WFS layers via PyQGIS Handling XYZ Tiles, WMTS Downloading layers and caching Styling …
Batch Processing and Automation
Looping through folders of vector/raster layers Applying same operations to multiple layers Automating layout …
Python & GEE for satellite data analysis
Introduction to GEE and Remote Sensing Datasets
What is GEE? Key use cases and strengths Earth Engine data catalog overview Account …
Earth Engine Python API + geemap
Installing earthengine-api and geemap Logging in and authenticating from Python / Colab Exploring the …
Loading and Filtering Image Collections
Filtering by date, bounds, and cloud cover Working with ee.Image, ee.ImageCollection, and ee.Geometry Visualizing …
Vector and Raster Operations
Uploading and accessing shapefiles and GeoJSONs Clipping rasters to AOI Zonal statistics over regions …
Supervised Classification with GEE
Creating training data manually or via shapefiles Using ee.Classifier.smileRandomForest or CART Accuracy assessment with …
Exporting Maps and Data
Exporting raster to GeoTIFF in Google Drive or GCS Exporting vector tables as CSV/GeoJSON …
Combining GEE with Pandas, Geopandas, Matplotlib
Reading tabular and geospatial results in Python Creating charts (NDVI over time, classification area …
GEE App Building and Sharing
Creating interactive GEE apps (App Engine) Adding widgets (sliders, selectors, checkboxes) Publishing and sharing …
Spatial Databases & Big‑Data Workflows
Introduction to Spatial Databases
Why use databases for spatial data? Overview of PostGIS, SpatiaLite, GeoPackage Spatial vs non-spatial …
Setting Up PostGIS
Installing PostgreSQL + PostGIS locally (or with Docker) Creating a spatial database and user …
Connecting to PostGIS with Python
Using psycopg2, SQLAlchemy, and GeoAlchemy2 Connecting and authenticating securely Reading geometries into GeoDataFrame using …
Writing Spatial SQL with Python
Basic SQL + Spatial SQL (SELECT, WHERE, ST_Intersects, ST_Buffer) Creating spatial indexes Performing joins, …
Managing Data in PostGIS
Importing Shapefiles, GeoJSON, GeoTIFF Exporting and backing up data Bulk inserts and deletes Managing …
Working with Lightweight Spatial Databases
Introduction to SQLite, SpatiaLite, and GeoPackage When to use file-based DBs over PostGIS Reading …
Cloud Databases and Remote Connections
Overview of managed spatial DBs (Supabase, Railway, Amazon RDS) Tunneling connections via SSH or …
Introduction to Point Clouds and LiDAR Data
What are Point Clouds? Use Cases in GIS LiDAR Formats: LAS, LAZ, PLY, E57 …
Reading and Writing Point Clouds
Installing and using laspy to read .las and .laz Inspecting metadata, extracting coordinates Filtering …
Visualizing Point Clouds
Visualizing with pptk, pyvista, open3d, or deck.gl Coloring by elevation, intensity, classification Saving screenshots …
Point‑Cloud & 3D Analysis with Python
Processing with PDAL (Point Data Abstraction Library)
What is PDAL? Why is it powerful? Installing PDAL (conda or docker) Writing JSON …
Point Cloud Filtering and Transformation
Voxel grid filtering, downsampling, bounding boxes Range filtering (by height, intensity, location) Reprojecting point …
Terrain and Surface Modeling from Point Clouds
Generating DEMs and DSMs using pdal pipeline Rasterizing ground points to GeoTIFF Creating Canopy …
Machine Learning & AI for Geospatial
Cloud-Native Geospatial Workflows
What is Cloud-Native Geospatial? (COG, STAC, Zarr, PMTiles) Using fsspec, rasterio, xarray with S3 …
Big GeoData with Dask and Xarray
Parallel processing for large rasters with dask Chunking and lazy evaluation Combining time-series NetCDF, …
Deep Learning for Remote Sensing
Overview of CNNs and U-Nets for satellite imagery Using torchgeo, segmentation_models_pytorch, keras Example: Building …
Time Series and Change Detection
Working with NDVI time series from GEE or Copernicus Using xarray, pandas, and statsmodels …