Python for GIS Automation and Geospatial Applications

Download and install miniconda on Windows 64-bit to set up Python with conda and pip, register miniconda as the default Python 3.9, and complete the installation.

Explore Python basics: variables, dynamic typing, and case sensitive naming. Learn types—int, float, complex, boolean, string, None, tuple, list, set, dict, and range, rules that identifiers cannot start with digits.

Explore how Python uses control flow with loops, conditional statements, and function calls. Learn if-else decisions, while loops, and for loops, and note that for loops are often preferred.

Learn how Python functions encapsulate reusable blocks of code, how to define and call them, and how to pass arguments to print outputs like hello from Python tutorial.

Explore data manipulation with Pandas to create and filter data frames, merge datasets, and derive cleaner features for AI and ML, using boolean slicing and practical product examples.

Master vector layer automation with ArcPy by performing union of multiple shapefiles, clipping a boundary, and applying a spatial join, while implementing robust try-except error handling in ArcMap.

Master raster layers in ArcPy by loading rasters, accessing properties, querying values, and reprojecting data using make raster layer and Python snippets in ArcMap.

Automate geoprocessing in ArcGIS using arcpy, accessing management and analysis tools and configuring environment settings. Create buffers, clip rasters, extract vertices, reproject data, and perform batch processing in memory workspaces.

Learn a complete Landsat 8 ndvi workflow in ArcPy: clip to study area, reclassify ndvi, run zonal statistics, and build true color composites for vegetation analysis.

Open and use the Python console in QGIS to script and automate geospatial workflows, print output, manage variables, and streamline scripting with the built-in script editor.

Manipulate attributes in QGis by adding fields and updating values in the cities layer, and export vector data to shapefile and GeoJSON using PyQGIS.

Learn to create, configure, and analyze raster layers in PyQGIS, including writing new geotiff rasters, applying hillshade, and exporting results with QGIS processing.

Automate GIS workflows with PyQGIS processing algorithms, enabling layer reprojection to a new CRS, memory-based results, batch processing, and robust error handling in Python scripts.

Automate geospatial map production with PyQGIS by configuring a map layout, CRS handling, north arrow, scale bar, and legend, then export to pdf and svg.