As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...
If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into regex in Python. It lets you describe patterns instead of writing ...
Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API, with Python via the BQL Object Model. This session will feature practical demonstrations, code examples, ...
Deep learning model inferencing in ArcGIS is implemented on top of the Python raster function framework. This repository serves to provide guidance on deep learning Python raster functions in ArcGIS, ...
The WRF-Hydro GIS Pre-processor provides various scripts and tools for building the geospatial input files for running a WRF-Hydro simulation. gdal 3.6.3 netcdf4 1.6.3 numpy 1.24.2 packaging 23.0 ...
Post Occupancy Evaluations (POE) provided a systematic methodology for determining the performance gap between expected and actual performance. Monitoring quality of the indoor environment is ...
In an age of both big data and increasing strain on water resources, sound management decisions often rely on numerical models. Numerical models provide a physics-based framework for assimilating and ...
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