# Multiplatform Programming with Python

- Institution: CERN
- Department: Inverted CSC
- Speaker: Peter Kicsiny
- Year: 2023
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3000337)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

In this course the students can learn how to write platform agnostic code using Python (and some C). Some knowledge (~1 year experience) of these two languages is recommended.

The lecture will focus on how Python can easily be combined with C for CPU and GPU programming, by exploiting the advantages of both languages. The goal is to introduce 3 Python libraries that are used at CERN (e.g. in modern multiparticle simulation frameworks): CFFI, CuPy and PyOpenCL. CFFI is a library for Python-C interfacing and CPU kernel execution. CuPy and PyOpenCL are libraries for kernel execution compatible with GPUs. Additionally, there will be a short review of heterogeneous programming and a comparison of the CUDA and OpenCL programming models.

In a subsequent tutorial session the students will be able to play around with these Python libraries..

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## Lectures

1. [Multiplatform Programming with Python](https://invisiblenetwork.ai/learn/cern/3000337/98b88d884523), 57 min (CERN's player)