Collection of persistent (disk-based) and non-persistent (memory-based) queues for Python

Data Structures and Algorithms Patterns that I followed ,implemented in Python

Data Structures & Algorithms Implementation in Python

Comprehensive guide to Algorithms and Data Structures created by me to practice important concepts for technical interviews.

👾 my detailed walk-through for mastering classical algorithm and data structure problems (and the book i published by hanbit media a decade ago)

Python SDK for BlazingMQ, a modern high-performance open source message queuing system.

A simple message-oriented middleware library built for Python IPC across machine boundaries

Python with RabbitMQ—simplified so you won't have to.

contains all coding interview practice problems, data structures and algorithms implementations. 👨‍💻👨‍💻💥 🚩

pytasks is a complete and customizable microservice for running computational tasks on remote machines and viewing its results through an API.

Helping you get Airflow running in production.

An Amazon SQS client built in Python that supports common messaging patterns such as Request/Response.

An example Quart app that uses Postgres and background tasks to process a job queue

A Python library that wraps the multiprocessing package. It provides a simple to use API to build queue-based multiprocessing pipelines

Python coding challenges and implementing Machine Learning algorithms from scratch.

High performance queues for pytree objects.

Yet another cloud computing scheduler for the high-throughput cloud scientific simulations

Queue bot for my university group

Algorithm Practice