This tutorial outlines the process of installing the Google Earth Engine Python API client.
Earth Data Science Tutorials in Python
Python is a widely used, open-source programming languages. In Earth science, scientific programming languages like Python, help you speed up and automate tedious tasks like downloading large datasets or performing repetitive calculations that you might otherwise have to do manually. Try using Python to address Earth Science questions with the free tutorials below.
This tutorial demonstrates how to convert Modis sinusoidal tile grid positions to latitude and longitude in Python.
This tutorial demonstrates how to convert Landsat 8 path/row coordinates to latitude and longitude in Python.
This tutorial shows how to make interactive maps in Python with folium.
This tutorial shows how to compute and plot contour lines for elevation from a raster DEM (digital elevation model).
This tutorial shows how to compute the slope and aspect from a digital elevation model in Python.
This tutorial outlines how to use PySAL to perform spatial regression in Python.
This tutorial shows how to compute raster statistics like the mean and variance around buffered spatial points in Python.
This tutorial demonstrates how to use climata to acquire streamflow data in and around Boulder, Colorado.
This tutorial shows how to use rpy2 in a Jupyter notebook to run both R and Python.
This tutorial outlines the use of the Cenpy package to search for, and acquire specific census data.
This tutorial demonstrates how to access SMAP data, and how to generate raster output from this data.