index.qmd

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title: "Parallel Python"
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This course is aimed at researchers, students, and industry professionals who want to learn intermediate python skills applied to scientific computing and data science.


## Trainers
* Kristian Maras (Kris) (MSc Mathematics / Ba Commerce) 
* Thomas Mauch (Tom) (PhD in astronomy)
* Nathaniel (Nate) Butterworth (PhD Computational Geophysics)



## Course pre-requisites and setup requirements

Introductory Python experience recommended. 


## Code of Conduct
We expect all attendees of our training to follow our code of conduct, including bullying, harassment and discrimination prevention policies.

In order to foster a positive and professional learning environment we encourage the following kinds of behaviours at all our events and on our platforms:

* Use welcoming and inclusive language
* Be respectful of different viewpoints and experiences
* Gracefully accept constructive criticism
* Focus on what is best for the community
* Show courtesy and respect towards other community members

Our full CoC, with incident reporting guidelines, is available [here](https://sydney-informatics-hub.github.io/codeofconduct/).


## General session timings

* A. Intoduction and Revise Python Data Manipulation and Pandas Data Structure
* B. Why Polars is a better option for dataframes
* C. Why Dask provides an ecosystem of tools that can run on clusters of machines.


## Setup Instructions

**For local installation**:

`git clone https://github.com/Sydney-Informatics-Hub/ParallelPython.git`

`cd ParallelPython`

`conda env create -f environment.yml`

`conda activate parallel`

**Google Colab**:

Alternatively, you can use Google co-lab, which requires you to sign into your google account. Go to [Google Colab](https://colab.research.google.com/), and click "new notebook". Colab is very similar to jupyter notebook except the compute is run on google cloud infrastructure. 

Most packages are by defualt installed. If a package is needed you can run the pip install with the "!" prefix. ie. `! pip install ucimlrepo`. This access the underlying terminal.