Introduction

Welcome page and syllabus

Also link at House symbol 🏠 at top of page

Course learning outcomes

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Load Python modules and site-installed Python packages
Create a virtual environment
Install Python packages with pip (Kebnekaise, Rackham, Snowy, COSMOS)
Write a batch script for running Python
Use the compute nodes interactively
Use Python in parallel
Use Python for ML
Use GPUs with Python

Learning outcomes

Learners understand how this day is organized
Learners can find their NAISS project
Learners can find how to download and extract the exercises

**For teachers: Lesson plan **

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Prior questions: - What is Pyton?

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What is python?

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As you probably already know…

“Python combines remarkable power with very clear syntax.

It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing.

There are interfaces to many system calls and libraries, as well as to various windowing systems. …“

In particular, what sets Python apart from other languages is its fantastic open-source ecosystem for scientific computing and machine learning with libraries like NumPy, SciPy, scikit-learn and Pytorch.

Official Python documentation
Python forum
A nice introduction to packages
The youtube video Thinking about Concurrency is a good introduction to writing concurrent programs in Python
The book High Performance Python is a good resource for ways of speeding up Python code.

Material for improving your programming skills

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First level

The Carpentries teaches basic lab skills for research computing.

General introduction to Python by UPPMAX at https://www.uu.se/en/centre/uppmax/study/courses-and-workshops/introduction-to-uppmax

Second level

Other course/workshops given by NAISS HPC centres:

CodeRefinery develops and maintains training material on software best practices for researchers that already write code. Their material addresses all academic disciplines and tries to be as programming language-independent as possible.

Aalto Scientific Computing

Third level

ENCCS (EuroCC National Competence Centre Sweden) is a national centre that supports industry, public administration and academia accessing and using European supercomputers. They give higher-level training of programming and specific software.

High Performance Data Analytics in Python
The youtube video Thinking about Concurrency is a good introduction to writing concurrent programs in Python
The book High Performance Python is a good resource for ways of speeding up Python code.

Documentations at other NAISS centres

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