पाठ्यक्रम: Programming for Geospatial Hydrological Applications, विषय: Other resources

OCWGIS

मुख्य पेज

Section outline

- Select activity Doing Geospatial in Python
  
  Doing Geospatial in Python URL
  
  Students must
  
  Mark as done
  
  FOSS4G 2022 Workshop
- Select activity Python Data Science Handbook by Jake VanderPlas
  
  Python Data Science Handbook by Jake VanderPlas URL
  
  Students must
  
  Mark as done
  
  Jupyter notebooks on IPython, Numpy, Pandas and Matplotlib.
- Select activity PyQGIS 101 by Anita Graser
  
  PyQGIS 101 by Anita Graser URL
  
  Students must
  
  Mark as done
  
  Introduction to QGIS Python programming for non-programmers.
- Select activity Mapping and Data Visualization with Python
  
  Mapping and Data Visualization with Python URL
  
  Students must
  
  Mark as done
  
  OpenCourseWare by Ujaval Gandhi (Spatial Thoughts)
- Select activity QGIS Tutorials and Tips by Ujaval Gandhi
  
  QGIS Tutorials and Tips by Ujaval Gandhi URL
  
  Students must
  
  Mark as done
  
  Tutorials on QGIS and PyQGIS.
- Select activity Python for GIS and GeoScience by Joris Van den Bossche & Stijn Van Hoey
  
  Python for GIS and GeoScience by Joris Van den Bossche & Stijn Van Hoey URL
  
  Students must
  
  Mark as done
  
  Learn the GeoPandas, Numpy, rasterio libraries
- Select activity Hatari Labs blog by Saul Montoya
  
  Hatari Labs blog by Saul Montoya URL
  
  Students must
  
  Mark as done
  
  Lots of tutorials on Python for groundwater modelling.
- Select activity Getting started with PySpark & GeoPandas on Databricks by Anita Graser
  
  Getting started with PySpark & GeoPandas on Databricks by Anita Graser URL
  
  Students must
  
  Mark as done
- Select activity Geo-Python course by University of Helsinki
  
  Geo-Python course by University of Helsinki URL
  
  Students must
  
  Mark as done
  
  A complete course on Python for Geo.
- Select activity Locate Press Books
  
  Locate Press Books URL
  
  Students must
  
  Mark as done
  
  (e)Books on PyQGIS and other topics
- Select activity PCRaster courses by Utrecht University
  
  PCRaster courses by Utrecht University URL
  
  Students must
  
  Mark as done
  
  Learn map algebra and spatial dynamic modelling using the PCRaster Python Framework.
- Select activity Open Source Option YouTube Channel
  
  Open Source Option YouTube Channel URL
  
  Students must
  
  Mark as done
  
  Videos on Python for GIS and Data Science.
- Select activity MapScaping PodCast on Geospatial Python with Anita Graser
  
  MapScaping PodCast on Geospatial Python with Anita Graser URL
  
  Students must
  
  Mark as done
- Select activity Adaptive curve fitting by Bruce Xiaolong Liu
  
  Adaptive curve fitting by Bruce Xiaolong Liu URL
  
  Students must
  
  Mark as done
  
  Adaptive curvefitting is a tool to find potentially optimal models for your research data
- Select activity Towards Data Science
  
  Towards Data Science URL
  
  Students must
  
  Mark as done
  
  A Medium publication sharing concepts, ideas, and codes.
- Select activity Jupyter Notebook Tips, Tricks, and Shortcuts
  
  Jupyter Notebook Tips, Tricks, and Shortcuts URL
  
  Students must
  
  Mark as done