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PyESD
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.pyClimat
This repository contains scripts for Python Module for Climate Data Analysis and Visualization, which is under development. The module performs many climate data analysis like correlation, significance testing, causality testing, estimation of climatologies, etc. The current version of package can be used, however, it must be handle with caution since most of the functions are yet to be tested. Kindly contact me for help if required.alx-low_level_programming
This repository contains all the project files for low level programming in the alx software engineering programTrajView
Python module for trajectory visualization. The module utilizes basemap or cartopy as a backgroup map and mathplotlib linecolections to plot the paths of the trajectories.Data_science_projects
Consist of various machine learning and Al projects at the experimental stage. These scripts are adopted on higher level structure required for my package development. Therefore I call it no harm in trying folder...EnjoyLove Open Source and this site? Check out how you can help us