Liam Brannigan's repositories
data-analysis-with-polars
Public notebooks and datasets to accompany the Data Analysis with Polars course on Udemy
mpl_animation
A module to create animations in matplotlib using an intuitive declarative syntax
bayesian_intro
Self-study materials to give you an introduction to Bayesian inference with python
subsurface_eddy_generation_arctic_fronts_brannigan_et_al_2017
Python scripts used to generate inputs for 'Generation of sub-surface anticyclones at Arctic surface fronts due to a surface stress'
performance-data-science
Notebooks to demonstrate high performance data science in python
autogluon
AutoGluon: AutoML Toolkit for Deep Learning
braaannigan.github.io
Front end
course-in-a-box
An open-source project for creating online courses, built by P2PU
dc.js
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
deep_mitgcm
M.I.T General Circulation Model master code and documentation repository
delta-rs
A native Rust library for Delta Lake, with bindings into Python
eliot
Eliot: the logging system that tells you *why* it happened
makeYourOwnBinary
makeYourOwnBinary
pico-composer
This is the composer starter project for Pico, a stupidly simple, blazing fast, flat file CMS.
polars
Fast multi-threaded DataFrame library in Rust | Python | Node.js
polars-book
Book documentation of the Polars DataFrame library
polars-static
All static files, images and such.
polars-web
Landing page for Polars
pystan
PyStan, the Python interface to Stan
tensorflow
Computation using data flow graphs for scalable machine learning
vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀