Learn how to discover, access, visualize, and analyze NASA's ocean biology datasets using #Python. A suite of Jupyter notebook tutorials at NASA's Ocean Biology DAAC (#OBDAAC) will help you to get started!
RT @ECMWFCode4Earth: 🚀 Meet Tom Calloway & Irina Sucoverschi, the brains behind the CDSAPI Request Check project! Their #Python library helps validate requests and data availability before submission, boosting success rates and cutting retrieval time & costs. 👏 More here: https://t.co/dnIQrjXQOvhttps://t.co/3qZ9XdxiFp
Learn how to access water and energy cycle, atmospheric composition, and climate variability datasets from NASA's #GESDISC with #Python using four techniques: Requests, Pydap, Xarray, and netCDF4-python libraries.
New #Python Tutorial! A new Jupyter Notebook tutorial developed by NASA's Land Processes DAAC (#LPDAAC) shows you how to work with NASA's EMIT L2B Estimated Mineral Identification and Band Depth and Uncertainty data.
Are you looking to migrate your data workflows to the cloud? The NASA Earthdata Cloud Cookbook provides tips on how to set up your cloud environment, cheat sheets, tutorials, and more! #R#Python#Jupyter#OpenScience#CloudComputing
Learn how to easily and quickly access the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) spacecraft’s high-resolution, hyperspectral data through new #Python-focused #Jupyter notebook tutorials: https://t.co/6BmaxPz0qD Image Credit: NASA SVS https://t.co/SBRqDSxh9m
Learn how to discover, access, visualize, and mosaic @NASAJPL's OPERA near-global Dynamic Surface Water Extent (DSWx) product suite with data tutorials from NASA's #PODAAC. https://t.co/EokkfbJ17d Image: OPERA Project/Planet Labs, Inc.
Learn how to search, access, and work with NASA/CNES Surface Water and Ocean Topography (SWOT) data via GUI, programmatically, or command line using NASA #PODAAC's SWOT data recipes, tutorials, and resources. #CloudComputing#Python#EarthdataSearch
Access, subset, transform, and visualize snow and ice data from NASA's National Snow and Ice Data Center DAAC using #NSIDCDAAC's #Python-based #Jupyter notebooks that provide tutorials for working with many of their data products.
What if you could search, download, and stream NASA Earth science data using a few lines of code? The earthaccess #Python code library makes this possible by providing easy access to NASA Earth data regardless of the data storage location.
In a new #Jupyter Notebook developed at NASA's #PODAAC, learn the basics of #xarray and how to use the open-source #Python library, Dask, for parallel computing (data access and data analysis) in the cloud. #CloudComputing
Interested in #methane and mapping methane plumes? Join members of @NASAJPL's #EMIT science team and NASA's #LPDAAC for a 2-hour EMIT data tutorials workshop on March 14, 2024, at 12:00 PT to learn how to work with the data! #Python#GHG
"earthaccess revolutionizes data access by drastically reducing the complexity and code required," says Luis López, an NSIDC software developer and earthaccess creator.
A new #Python application programming interface (API) library simplifies NASA Earth science data discovery and access with a few lines of code. ➡️Learn how you can incorporate earthaccess into your data workflow: go.nasa.gov/494NoOY - NASAEarthdata
A new #Python application programming interface (API) library simplifies NASA Earth science data discovery and access with a few lines of code. ➡️Learn how you can incorporate earthaccess into your data workflow: go.nasa.gov/494NoOY