Akumenyi

CME_NCOMMS_2020

Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Communications (2020), https://doi.org/10.1038/s41467-020-15195-y

Epidemiology101

Epidemic Modeling for Everyone

phdscripts

These scripts were written as part of my PhD.

qmap_bias_adjustment

quantile mapping applied to climate model output

tigramite

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at

covid-19-analysis

Covidify - corona virus report generation for python 🦠

advanced_python_plotting

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

covid-19

Novel Coronavirus 2019 time series data on cases

data-science-portfolio

All of the coolest projects you can ever hope to see!

gallery

indices

Code for calculating climate indices

Machine-Learning

MachineLearning

Practical course, which starting from Data Science offers examples (with Python code) and explanation (in Twitter threads) on concepts and techniques of Machine Learning, Deep Learning and NLP.

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

ml_drought

Machine learning to better predict and understand drought

ncar-python-tutorial

Numerical & Scientific Computing with Python Tutorial

onset_demise_rainy_season

A python code that calculates the characteristics of the rainy and dry seasons. Onset and demise dates; duration of the wet and dry seasons; accumulated precipitation during the wet and dry seasons

pg2oop

A Practical Guide to Object Oriented Programming in Python

practical-python

Practical Python Programming (course by @dabeaz)

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

PyEarthScience

The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.

Python

All Algorithms implemented in Python

Python-lab

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

scrape_global_temps

Quick python code to scrape the latest data from all the global surface temperature datasets and return it on a common baseline period.

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

TinyML-Cookbook

TinyML Cookbook, published by Packt

twitter-threading

Automatically posting Twitter Threads