Programmatic Data Access Welcome to Week 11! Welcome to week 11 of Earth Analytics! This week you will learn about accessing data using APIs. Materials to Review For This Week’s Assignment Introduction to API’s in Python. Programatically Access Twitter Data and Natural Language Processing in Python Share on Twitter Facebook Google+ LinkedIn
Calculate Seasonal Summary Values from Climate Data Variables Stored in NetCDF 4 Format: Work With MACA v2 Climate Data in Python 26 minute read Learn how to calculate seasonal summary values for MACA 2 climate data using xarray and region mask in open source Python.
Calculate Summary Values Using Spatial Areas of Interest (AOIs) including Shapefiles for Climate Data Variables Stored in NetCDF 4 Format: Work With MACA v2 Climate Data in Python 32 minute read Climate datasets stored in netcdf 4 format often cover the entire globe or an entire country. Learn how to subset climate data spatially and by time slices u...
How to Open and Process NetCDF 4 Data Format in Open Source Python 26 minute read Historic and projected climate data are most often stored in netcdf 4 format. Learn how to open and process MACA version 2 climate data for the Continental U...
