RunBadger

RunBadger's Stars

• webermarcolivier/statannot

  add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

  Language:Jupyter Notebook39274

• lmfit/lmfit-py

  Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

  Language:Python1.1k273

• gespinoza/hants

  This repository is a python implementation of the Harmonic ANalysis of Time Series (HANTS) applied to geographic data. The python module can be used to perform the HANTS analysis to a collection of time-variable raster data at each pixel.

  Language:Python4719

• repository-preservation/lcmap-pyccd

  Language:Python3523

• EL-BID/Modelo-de-prediccion-de-crecimiento-urbano-

  Language:Python2812

• GoogleCloudPlatform/python-docs-samples

  Code samples used on cloud.google.com

  Language:Jupyter Notebook7.3k6.4k

• richardudell/predicting-urban-development

  Beginner's tutorial for working with the Google Earth Engine Python API in Jupyter Notebooks. The tutorial walks through a GEE workflow of measuring urban development surrounding Denver International Airport. Future work will involve development of a linear regression model to predict urban development surrounding DIA. This repository serves as a capstone project submission for Earth Data Analytics Professional Certificate Final Project.

  Language:HTML12