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πŸ§‘β€πŸŽ“πŸ”Ž Small UoP specific implementation that parses ICS files to find out who share lectures

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πŸ“… are-we-together (in the same lecture?) 🎢

About

With the start of the new academic year, I have finally been able to attend physical lectures for the first time ever. On our course we are surprisingly not all together in the same lectures (despite there being 7 of us).

This combined with the fact that some of us have our lectures before others makes talking about current work slightly confusing.

This inspired me to find a way of working out who is in the same lectures, hence are-we-together.

Getting Started

Prerequisites

All requirements are able to be installed via the requirements.txt file as shown below:

pip install -r requirements.txt

If you want to understand the structure of the DataFrame then have a look at development.ipynb.

Usage

usage: arewetogether.py [-h] (-f FILE [FILE ...] | -p PATH) [-o OUTPUT]

optional arguments:
  -h, --help            show this help message and exit
  -f FILE [FILE ...], --file FILE [FILE ...]
                        File names to be used
  -p PATH, --path PATH  Path to directory containing calendar files
  -o OUTPUT, --output OUTPUT
                        File to output to (destructive), omit to copy to clipboard

After running the script all output will be copied to your clipboard, simply paste as desired.

If you are pasting into Discord then I would recommend this plugin. All it does is split a message that exceeds the character limit into multiple messages, to be used with BetterDiscord.

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πŸ§‘β€πŸŽ“πŸ”Ž Small UoP specific implementation that parses ICS files to find out who share lectures

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