https://github.com/gciatto/mpp4rs-slides

Slides of the course "Multi-platform Programming for Research-Oriented Software"
https://github.com/gciatto/mpp4rs-slides

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Slides of the course "Multi-platform Programming for Research-Oriented Software"

• Host: GitHub
• URL: https://github.com/gciatto/mpp4rs-slides
• Owner: gciatto
• License: apache-2.0
• Created: 2023-08-09T08:31:17.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-04-13T05:43:27.000Z (9 months ago)
• Last Synced: 2024-04-13T20:09:15.976Z (9 months ago)
• Language: JavaScript
• Size: 4.31 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Multi-platform Programming for Research-Oriented Software

Slides at: https://gciatto.github.io/mpp4rs-slides

## Abstract

Programming is becoming a central activity in research, far beyond the realm of computer science. Mainstream programming languages are flourishing around well-identifiable communities and well-established programming platform. For instance, Python is the language of Data Science, JavaScript targets the Web, and the JVM is often the primary choice among multi-agent systems, logic-based technologies, as well as backend and mobile development. Along this line, in order to maximize the reach of research-oriented software, it is of paramount importance to write code supporting as much platforms (and languages) as possible.

Of course, maintaining multiple codebases is a no-go, and this is why researchers often focus on particular platforms—hence limiting their potential audience.

Accordingly, in this course we present approaches and best-practices for multi-platform programming, where the same codebase is made available on multiple platforms, minimizing rewriting of code while maximizing portability.