Free universal database tool and SQL client

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Utility functions for dbt projects.

Port(ish) of Great Expectations to dbt test macros

A portable Datamart and Business Intelligence suite built with Docker, Dagster, dbt, DuckDB and Superset

A distributed data flow and computation system that runs on transactional messaging infrastructure

NodeJS/Vue UI for PYFI

dbt adapter for Azure Synapse Dedicated SQL Pools

Always know what to expect from your data.

A light-weight, flexible, and expressive statistical data testing library

A curated list of awesome Jesse strategies and tools.

Free, open source crypto trading bot

Examples for Jesse's trading framework.

An advanced crypto trading bot written in Python

A Python library for getting historical and forecasted usage/cost from utilities that use opower.com such as PG&E

Home Assistant Lennox S40 / S30 / E30 / M30 integration

WebRTC/RTSP/RTMP/LL-HLS bridge for Wyze cams in a docker container

PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

All Algorithms implemented in Python

Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more

🔗 Some useful websites for programmers.

Awesome & interesting talks about programming

Awesome online talks and screencasts

A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

Master the command line, in one page

Pointers to useful, well-written, and otherwise beautiful documentation.

This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating tho…

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

The "Python Machine Learning (3rd edition)" book code repository