aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Jupyter Interactive Notebook

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

Code samples used on cloud.google.com

Create delightful software with Jupyter Notebooks

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

Lectures for Udemy - Complete Python Bootcamp Course

Source code for my collection of articles on using pandas.

A delightful and complete interface to GitHub's amazing API

Context geo-tiles in Python

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

Examples of using the Planetary Computer

CLIMADA is a free and open-source software framework for climate risk assessment and adaptation option appraisal.

Notebooks and libraries for spatial/geo Python explorations

Install Conda and friends on Google Colab, easily

Geostatistical variogram estimation expansion in the scipy style

Python package for process-oriented climate modeling

Parse and execute ipynb files in Sphinx

Integration of H3 with GeoPandas and Pandas

High-performance time series downsampling algorithms for visualization

Water Detect Algorithm

Analysis ready CMIP6 data in python the easy way with pangeo tools.

Climate downscaling using CMIP6 data

scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.

Xarray Tutorials

📘 🌍 A broad collection of GIS related tutorials

Disk-to-disk chunk transformation for chunked arrays.