• PARALLEL PROGRAMMING IN PYTHON

Treffer: PARALLEL PROGRAMMING IN PYTHON

Title:
PARALLEL PROGRAMMING IN PYTHON
Authors:
Tursunbek Sadriddinovich Jalolov
Publisher Information:
Zenodo
Publication Year:
2023
Collection:
Zenodo
Subject Terms:
Parallel Programming, Python, Multi-threading, Multi-processing, concurrent.futures, Performance Optimization
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
English
ISSN:
2992-9148
Relation:
https://zenodo.org/records/10394762; oai:zenodo.org:10394762; https://doi.org/10.5281/zenodo.10394762
DOI:
10.5281/zenodo.10394762
Availability:
https://doi.org/10.5281/zenodo.10394762
https://zenodo.org/records/10394762
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.EC21D8F3
Database:
BASE

Weitere Informationen

Parallel programming in Python has become increasingly popular as it allows developers to leverage the power of modern hardware by executing multiple tasks simultaneously. This article provides an overview of parallel programming in Python, exploring its benefits, challenges, and best practices. We discuss key concepts such as multi-threading, multi-processing, and libraries such as concurrent.futures and multiprocessing, which enable parallelism in Python. Additionally, we highlight the growing relevance of parallel programming in the context of modern software development and the potential performance gains it offers.