Introduction

Welcome page and syllabus

• Also link at House symbol 🏠 at top of page

Course learning outcomes

<!– TODO: B: Update –>

• 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 **

Prior questions: - What is Pyton?

<!– TODO: B: should everyone do an intro on each day? Discuss in Matrix/meeting –>

What is python again?

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.

Important

Project ID and storage directory

• UPPMAX:

  • Project ID: naiss2024-22-1442

  • Storage directory: /proj/hpc-python-fall

• HPC2N:

  • Project ID: hpc2n2024-142

  • Storage directory: /proj/nobackup/hpc-python-fall-hpc2n

• LUNARC:

  • Project ID: lu2024-2-88

  • Storage directory: /lunarc/nobackup/projects/lu2024-17-44

• NSC:

  • Project ID: naiss2024-22-1493

  • Storage directory: /proj/hpc-python-fall-nsc

<!–

TODO: R will make this into an exercise (i.e. an exercise and not a prerequisite, unless we agree in a meeting that this _is_ a prerequisite), tie in with downloading and extracting the tarball

R: I predict that will take 30 minutes B: I predict that will take 5-20 minutes me and B think we’ll get it to work

TODO: B: In meeting, discuss if tarball is a prerequisite, do this in Matrix. If not sent out to learners this is a prereq, we’ll do this as an exercise.

–>

Login to the center you have an account at, go to the storage directory, and create a directory below it for you to work in. You can call this directory what you want, but your username is a good option.

<!– TODO: R: merge with exercise –>

Important

Course material

• You can get the course material, including exercises, from the course repository on GitHub. You can either (on of these):

  • Clone it: git clone https://github.com/UPPMAX/HPC-python.git

  • Download the zip file and unzip it:

    • wget https://github.com/UPPMAX/HPC-python/archive/refs/heads/main.zip

    • unzip main.zip

• You should do either of the above from your space under the course directory on the HPC center of your choice.