This is a library for running the concurrent processing using only native Google Apps Script (GAS).
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Updated
Mar 21, 2021 - CoffeeScript
This is a library for running the concurrent processing using only native Google Apps Script (GAS).
XAsyncSockets is an efficient Python/MicroPython library of managed asynchronous sockets.
Distributed is a wrapper module that helps developers to make distributed, scaled, replicated and fault-tolerant (with takeover ability) leader-follower systems.
A well-typed symmetric-monoidal category of concurrent processes
Python Eventbus
A pipers bag - generic functions to gain concurrency - batteries included :-)
On hold until further notice. Uses HertzScript coroutines to implement preemptively multitasked JavaScript Green threads.
📋 Full stack app using PostgreSQL, Express, React & Node.js. Tutorial app
🔥 A VPCS cache devops management system base on deta ETL will start this week. /deta ETL 运维软件用于集群部署和管理德塔缓存云。该项目已经改成协同开发模式。
Concurrent Programming in C (3rd year - 5th semester)
A lightweight, minimalist FIFO queue that holds jobs, releasing only a fixed number for concurrent processing
Node.js stream working at constant pace and concurrent
Speed up text streams processing by distributing input to a number of worker processes and merging their output back (fork-join computational model).
ATM ConCurrencies is a simple prototype of a program that mimics the work of an ATM system using concurrent processes and inter-process communication (IPC) services. This version includes functionalities with message queues, semaphores, shared memory and architectures for exploring deadlocks and livelocks.
This is a simple experiment to test the concurrent processing using clojure.core.async channel
wordcount map reduce
Repair shop activities : Java Application to apply concurrency. First project for the discipline of Distributed Systems of the University of Aveiro
A C coded math game that prompts a user for a number of questions, and asks simple equations to be answered within 5 seconds. After the questions, the program shows the user their results.
Efficiently process and load large CSV datasets into PostgreSQL using parallel processing and multithreading in Python. This repository contains scripts for generating random data and seamlessly uploading it to PostgreSQL with optimal performance.
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