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ApRES Recipes

A collection of tools for performing specific compuational tasks related to ApRES data collection, processing, plotting, etc. contributed by the ApRES community.

Purpose

Multiple researchers and groups of researchers have invented (and reinvented) different methods, but the details of these methods are not always shared effectively. This repoository can act as a common location for informally sharing different approaches to ApRES data analysis or related tasks.

Contributing

We very much welcome contributions from the community on any aspect of ApRES data analysis. A suggested structure for contributions is a folder in the root of this repo containing (1) a README.md file that minimally explains the purpose of the code, and (2) a sub-directory called code containing the code base in whatever format you like. Optionally, the README file can also contain information on dependencies and usage of the code and/or examples with example data. Contributions can be in the form of pull requests. Feel free to start submit an issue to start a conversation about a possible contribution too!