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Abstract

An example session on using BespokeFit and incorporating it into your workflows.

Occurrence(s)

https://www.google.com/url?q=https://us06web.zoom.us/j/84951786163?pwd%3DS1JNRVNHb0kvQ1pkZ3VoN2ZHRGs4QT09&sa=D&source=calendar&ust=1663106918071273&usg=AOvVaw2fUZGCT9Usy1y33ayKua9b

Attendee preparation/install instructions

These instructions assume you have Conda installed already.

  1. Download the materials from the gist below, either from the “Download ZIP” button or through git clone https://gist.github.com/2860cf864ed1658ceec466bfb599e3fe.git

  2. Extract the ZIP file, if used, and change directory into the appropriate directory

  3. Create a temporary Conda environment in the working directory: conda env create --prefix ./env-bespoke --file environment.yml

  4. Activate the new environment: conda activate ./env-bespoke

  5. Create the secondary environment: mamba env create --prefix ./env-toolkit --file env-toolkit.yml

  6. Run the notebook from the temporary environment: jupyter lab bespokefit.ipynb

Alternatively, the notebook can be followed and executed online on Binder: https://mybinder.org/v2/gist/Yoshanuikabundi/2860cf864ed1658ceec466bfb599e3fe/HEAD?urlpath=lab

Materials

Notebooks, environments and materials: https://gist.github.com/Yoshanuikabundi/2860cf864ed1658ceec466bfb599e3fe

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