a multi-threads tool for decompile exe,elf,pyz,pyc packed by python which is base on pycdc and uncompyle6.

Python module which allows you to specify timeouts when calling any existing function, and support for stoppable threads

The Python asyncio tutorial I wish existed earlier

Concurrent package manager for Python

Comfortable parallel TQDM using concurrent.futures

Code for the Manning book Concurrency in Python with Asyncio

Lomond is a Websocket client for Python which turns a websocket connection in to an orderly stream of events. Contrast this with the existing websocket clients available for Python which follow a more JS-like model of threads and callbacks.

Checks SOCKS Proxy List To find Working Proxies

Shrapnel is a scalable, high-performance cooperative threading library for Python.

collection of modules to build distributed and reliable concurrent systems in Python.

Non-blocking Python methods using decorators

A simple but robust connection pool (with multiplexing) base on PyMySQL, mainly used for multi threads mode, which also compatible with single thread mode.

CSP-style concurrency for Python

Python Multi-Process Execution Pool: concurrent asynchronous execution pool with custom resource constraints (memory, timeouts, affinity, CPU cores and caching), load balancing and profiling capabilities of the external apps on NUMA architecture

Tool to dump python thread and greenlet stacks.

Example of a Python code that implements graceful shutdown while using asyncio, threading and multiprocessing

Code examples from my toptal engineering blog article

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

Perform text detection in a variety of languages with your computer webcam using Google Tesseract OCR and OpenCV. This script achieves a real-time OCR effect via multi-threading.

Exelixi is a distributed framework based on Apache Mesos, mostly implemented in Python using gevent for high-performance concurrency. It is intended to run cluster computing jobs (partitioned batch jobs, which include some messaging) in pure Python. By default, it runs genetic algorithms at scale.