e-learning
Python - Multiprocessing
Abstract
This tutorial will introduce you to the basics of Threads and Processes in
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How can I parallelize code to make it run faster
- What code is, or is not, a prime target for parallelisation
Learning Objectives
- Understanding how to paralellise code to make it run faster.
- Identifying how to decompose code into a parallel unit.
Licence: Creative Commons Attribution 4.0 International
Keywords: Foundations of Data Science, jupyter-notebook
Competency level: ••• Advanced
Target audience: Students
Resource type: e-learning
Version: 4
Status: Active
Learning objectives:
- Understanding how to paralellise code to make it run faster.
- Identifying how to decompose code into a parallel unit.
Date modified: 2023-11-16
Date published: 2022-10-19
Authors: 
Helena Rasche
Contributors: Bazante Sanders, Donny Vrins, Marius van den Beek, Helena Rasche, Peter van Heusden, Saskia Hiltemann, Wendi Bacon
Scientific topics: Software engineering
External resources:
Activity log
