STIPS and WFC3 calibration software preserving the functionality of Ralph Bohlin's IDL code in python.
Ensuring that 30 years of calibration software are useful for the next 30 years.
Because the ABSCAL documentation is currently only available online in source form, a quick cheat sheet on installing ABSCAL and compiling its documentation is provided below:
Clone the ABSCAL source from the github repository:
git clone https://github.com/spacetelescope/ABSCAL.git cd ABSCAL
Create and activate a new Conda environment named abscal:
conda env create -f environment.yml conda activate abscal
Install ABSCAL from the repository using pip:
pip install .
Build the HTML documentation:
cd docs make html
The documentation webpages will now be in ABSCAL/docs/_build/html.
This project is Copyright (c) Space Telescope Science Institute and licensed under the terms of the BSD 3-Clause license.
We love contributions! abscal is open source, built on open source, and we'd love to have you hang out in our community.
Imposter syndrome disclaimer: We want your help. No, really.
There may be a little voice inside your head that is telling you that you're not ready to be an open source contributor; that your skills aren't nearly good enough to contribute. What could you possibly offer a project like this one?
We assure you - the little voice in your head is wrong. If you can write code at all, you can contribute code to open source. Contributing to open source projects is a fantastic way to advance one's coding skills. Writing perfect code isn't the measure of a good developer (that would disqualify all of us!); it's trying to create something, making mistakes, and learning from those mistakes. That's how we all improve, and we are happy to help others learn.
Being an open source contributor doesn't just mean writing code, either. You can help out by writing documentation, tests, or even giving feedback about the project (and yes - that includes giving feedback about the contribution process). Some of these contributions may be the most valuable to the project as a whole, because you're coming to the project with fresh eyes, so you can see the errors and assumptions that seasoned contributors have glossed over.
Note: This disclaimer was originally written by Adrienne Lowe for a PyCon talk, and was adapted by abscal based on its use in the README file for the MetPy project.