---
tags: teaching, swd6
---
# 2022-11 <br> SWD6: High Performance Python 🐍

Welcome to the hack pad for SWD6 course from Research Computing at the University of Leeds!

You can edit this document using [Markdown syntax](https://guides.github.com/features/mastering-markdown/).

## Contents

1. [Links to resource](#Links-to-resources)
2. [Agenda](#Agenda)
3. [What's your name and where do you come from?](#What’s-your-name-and-where-do-you-come-from)

## Links to resources

- [Workshop Book](https://arctraining.github.io/swd6_hpp/)
- [Github repository](https://github.com/ARCTraining/swd6_hpp)
- [Research Computing website](https://arc.leeds.ac.uk/)
- [Contact Research Computing](https://bit.ly/arc-help)
- [Teams link](https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZGQwMjcyMzItOTdmNy00NjdlLWFjNDgtYWFhYjczODgxMmY0%40thread.v2/0?context=%7b%22Tid%22%3a%22bdeaeda8-c81d-45ce-863e-5232a535b7cb%22%2c%22Oid%22%3a%2280803cb5-e822-4cba-83ba-e3909f66677b%22%7d)

## Location & pre workshop prep

**Please ensure you have done the pre workshop prep**

This is an in person training course that is taking place in [West Teaching Lab Upper (G.29)](https://it.leeds.ac.uk/it?id=kb_article&sysparm_article=KB0011378) - School of Fine Art, History of Art and Cultural Studies. This is a computer cluster but we recommend you bring the device you do your computational work on.

- **_Essential_**: To prepare for this workshop please register for a [Google account](https://accounts.google.com/signup) to allow you access to Google Colab.
- **_Optional_**: You may also want to install the required environment on your own personal device. This setup can be time consuming so in advance of the workshop please do the following:
- installing the [conda package manager tool](https://docs.conda.io/en/latest/miniconda.html)
- Installing `mamba` into your `base` conda environment

    # mamba is an improved version of conda
    # install this for more performant environment generation
    $ conda activate base
    $ conda install -c conda-forge mamba

- downloading the workshop repository
- creating the workshop conda environment (specify the correct file for your operating system)

    # If you have git and conda installed you can do this with the following steps
    $ git clone https://github.com/ARCTraining/swd6_hpp
    $ cd swd6_hpp
    # if on Linux or using WSL2
    $ mamba env create -f environment.yml
    # if on MacOS
    $ mamba env create -f environment_mac.yml
    # if on Windows (but not using WSL2)
    $ mamba env create -f environment_win_native.yml

If you have any issues performing the setup please get in touch.

## Agenda

| Time | Agenda |
| --------- | ----------------------------------------------------------------- |
| 10:00 | Welcome, optimising your code |
| 11:00 | Break |
| 11:10 | Optimising your code (cont.) |
| 12:00 | Lunch |
| 13:00 | Compilers and Parallelisation |
| 14:30 | Break |
| 14:40 | Parallelisation(cont.) and GPU |
| 16:00 | Close |

## What's your name and where do you come from?

- **Add your own entry below using the edit mode**

## Primes function

def primes(n):
    if n==2:
        return [2]
    elif n<2:
        return []

    s=list(range(3,n+1,2))
    mroot = n ** 0.5
    half=(n+1)//2-1
    i=0
    m=3

    while m <= mroot:
        if s[i]:
            j=(m*m-3)//2
            s[j]=0
            while j<half:
                s[j]=0
                j+=m
        i=i+1
        m=2*i+3

    primes = [2]
    for x in s:
        if x:
            primes.append(x)
    return primes