"Grokking Concurrency" book code examples
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Updated
Jan 9, 2025 - Python
"Grokking Concurrency" book code examples
A spider on Dcard. Strong and speedy.
Introducing AmazonMe, a Python-based web scraper designed to extract data from amazon.com using the requests and beautifulSoup libraries. It simplifies navigation and makes it easy to gather information from Amazon’s website efficiently.
Python framework for asynchronous, concurrent, distributed, network programming with coroutines
Concurrent, Asynchronous, Distributed, Communicating Tasks with Python
All of my lab work done for Advanced Programming Practice Lab(18CSC207J)
An inprocess eventbus for highly concurrent Python applications
The python package which eases your <codeflow> using decorators ❇️.
Companion repository for the "WebSockets and AsyncIO: Beyond 5-line Samples" blog post
A YellowPage scraper is a Python program/script that extracts data from the YellowPages.com website using the Python programming language. The scraper can be used to gather information such as business names, addresses, phone numbers, emails and reviews from the YellowPages website.
Python project which calculates the value of pi by using Monte Carlo simulation in a single thread, multi-thread, and multi-process way.
❤️ More than basic Python programming
Curionet is an asynchronous high-level networking framework, built on top of the Curio concurrency library.
Hi folks! I am trying make monopoly game using Python (sockets, threads and Tkinter). The aim is to make a fully functional monopoly game with maximum of 8 players with an approach to make it similar to the actual classic monopoly board game.
This library implements a class Monitor, as defined by Per Brinch Hansen and C.A.R. Hoare, for synchronization and concurrent management of threads and processes in Python. It also provides other functions to ease the creation and collection of results for both threads and processes.
The thesis presents the parallelisation of a state-of-the art clustering algorithm, FISHDBC. This objective has been achived by improving the main data structures and components of the algorithm: HNSW, MST and HDBSCAN. My contribution is based on a lock-free strategy, completely wrote in Python.
Distributed System implementation with paxos, consensus algorithm, locking, failure detection, group view and RPCs
A messaging library for an easy inter-communication in distributed and microservices architectures
Python framework for concurrent data flows
simple python lib for downloading files with multi threads
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