BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Want to learn how to work with NetCDF files? Know a bit of Python? You have come to the right place! This course has been designed to help you understand NetCDF files, get data out of them and create ...

A space physics research project is typically based on several kinds of measured and/or modeling data. Those data are often provided by different institutes or research groups. The data providers ...

As a cautionary note, chaining to convert a file (e.g., going from CDF to HDF5 to Zarr) is usually one-way, and not reversible. Conversion from CDF to Zarr is possible via chaining, but not from Zarr ...

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot. Built-in reactivity is one of ...

Billy Bonaros also came up with a creative application of TF-IDF in Python and showed how to create a TF-IDF keyword research tool. Conclusion In the end, I hope you have learned a logic here that ...

geo_data = geo_data[geo_data['statename']=='Maharashtra'] geo_data.plot('area',figsize=(12,10)) Now we are going to plot a satellite view of the map. For that, we are using a python library named ...

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 Climate datasets ...