Stars
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Transform messy data science notebooks into production-ready code. Examples covering testing, CI/CD, MLOps, and scalable deployment practices.
Code snippets for Data Engineering Design Patterns book
Open Source Routing Machine - C++ backend
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Project to identify which small areas in Great Britain are likely to be suitable (or unsuitable) for which types of heating technology.
Training and evaluating a model for estimating the cost of an air source heat pump.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Bayesian Modeling and Probabilistic Programming in Python
My tutorial on SQLAlchemy for Pydata London 2022 Conference
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
A discussion between John Ousterhout and Robert Martin about differences between John's book "A Philosophy of Software Design" and Bob's book "Clean Code".
My tutorial for Pydata London 2025 titled Hands-on With Apache Iceberg
Using DuckDB with AWS Lambda to process Delta Lake data
Demonstration materials for the presentation **Meet Marimo: The next-gen notebook** at EuroPython 2025
A collection of creative AnyWidgets for Python notebook environments
Scalable and efficient data transformation framework - backwards compatible with dbt.