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Python-Practical-Application-on-Climate-Variability-Studies
Python-Practical-Application-on-Climate-Variability-Studies PublicThis tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to ex…
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A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python
A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python PublicA beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information fo…
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Practice-SQL-with-SQLite-and-Jupyter-Notebook
Practice-SQL-with-SQLite-and-Jupyter-Notebook PublicPractice basic SQL syntax with Jupyter notebook. SQL is particularly useful in handling structured data where there are relations between different entities/variables of the data. SQL is a very imp…
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Calculate-Precipitation-based-Agricultural-Drought-Indices-with-Python
Calculate-Precipitation-based-Agricultural-Drought-Indices-with-Python PublicPrecipitation-based indices are generally considered as the simplest indices because they are calculated solely based on long-term rainfall records that are often available. The mostly used precipi…
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Work-with-DEM-data-using-Python-from-Simple-to-Complicated
Work-with-DEM-data-using-Python-from-Simple-to-Complicated PublicWork with DEM data using Python from Simple to Complicated. Many python packages will be touched such as GDAL, numpy, xarray, rasterio, folium, cartopy, geopandas etc.
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FastAPI-Zarr-Xarray-Dask
FastAPI-Zarr-Xarray-Dask PublicA demo of FastAPI application to extract data at the specific points defined by [latitudes and longitudes] from a zarr dataset using Dask and Xarray. The key aim to speed up point data extraction f…
Python 4
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