thomasjpfan

awesome-python-data-science

A curated list of Python libraries used for data science.

rustimport_jupyter

Jupyter and iPython magic for compiling Python extensions written in Rust

sklearn-repo-status

scikit-learn

scikit-learn: machine learning in Python

scipy-2023-too-parallel

slides-template-quarto

ml-workshop-intro-v3

pydata-nyc-meetup-2024-stumpy

Time Series EDA with STUMPY

bayeux

State of the art inference for your bayesian models.

flyte

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

imagespec-fast-builder

odsc-2024-east-flyte

polars-plugins-tutorial

How you (yes, you!) can write a Polars Plugin

changelog_auto

evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

flyte_experiments

flytekit

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

flytekit-codespaces

flytesnacks

Flyte Documentation 📖

mkdocs-gallery

Same features as sphinx-gallery (https://sphinx-gallery.github.io/) but on mkdocs (https://www.mkdocs.org/) (no sphinx dependency !).

osx_dotfiles

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

parallelism-numerical-python-talk

pyds-cli

Helping you manage your data science projects sanely.

scipy

Scipy library main repository

scipy-2020-lightning-talk-pandas-blockmanager

scipy-repo-status

unionai-devcontainers

unionai-serverless-devcontainer-template

variant-discovery

Human germline alignment and calling pipeline