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quantitative-economics-with-python-book

Quantitative Economics with Python

quinn-pyspark

pyspark methods to enhance developer productivity 📣 👯 🎉

quokka

Open source SQL engine in Python

rain

Framework for large distributed pipelines

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ray-educational-materials

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

ray-summit-2023-training

react-news

Hacker News clone written in React

real-time-data-warehouse

Real-time Data Warehouse with Apache Flink & Apache Kafka & Apache Hudi

realworld

"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more

resolve-dctl-001

DCTL library for Davinci Resolve

revad

Reverse-mode automatic differentiation in Rust (experiment)

roapi

Create full-fledged APIs for slowly moving datasets without writing a single line of code.

rsa

Simple implementation of RSA algorithm in Python from scratch

rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

samila

Generative Art Generator

sdelquin-data-science

Different study cases of handling and analysis data, using python tools.

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segment-anything-model-sam.cpp

Inference of Meta's Segment Anything Model in pure C/C++

shauryashaurya.github.io

Static pages for shauryashaurya's web presence

sherlock

🔎 Hunt down social media accounts by username across social networks

shreyans29-thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

simpleblackscholespricing

Simple implementation of the Black Scholes option pricing model in Python, takes CSV input and generates a CSV output.

simpletf

simplifying-advanced-topics-in-javascript

Once you know the basics of JS, here is a Jupyter Notebook that I use to discuss some of the more frequently used "advanced" topics in JS

snowplow

The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP

spark

Apache Spark - A unified analytics engine for large-scale data processing

spark-data-repair-plugin

Provide functionality to build statistical models to repair dirty tabular data in Spark

spark-expectations

A Python Library to support running data quality rules while the spark job is running⚡

spark-gotchas

Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks