lsmith-kc's Stars
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
jupyter/nbdime
Tools for diffing and merging of Jupyter notebooks.
DAGWorks-Inc/hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
JWarmenhoven/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
polyaxon/traceml
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
sspipe/sspipe
Simple Smart Pipe: python productivity-tool for rapid data manipulation
databricks/databricks-vscode
VS Code extension for Databricks
beatrizmilz/quarto-rladies-theme
R-Ladies template for Quarto presentations with reveal.js
ForeverWintr/metafunctions
metafunctions is a function composition library for python.
sdfordham/pysyncon
A python module for the synthetic control method
Menziess/databricks-connect
Connect jupyter notebooks or vscode to a databricks cluster.
simplybusiness/code-first-pipelines
A code-first way to define Ploomber pipelines