The workspace includes the following main directories:
notebooks- PyAutoFit examples written as Jupyter notebooks.
scipts- PyAutoFit examples written as Python scripts.
config- Configuration files which customize PyAutoFit's behaviour.
dataset- Where data is stored, including example datasets distributed with PyAutoFit.
output- Where the PyAutoFit analysis and visualization are output.
The examples in the notebooks and scripts folders are structured as follows:
overview- Examples using PyAutoFit to compose and fit a model to data via a non-linear search.
howtofit- Detailed step-by-step tutorials
features- Examples of PyAutoFit's advanced modeling features.
We recommend new users begin with the example notebooks / scripts in the overview folder and the HowToFit tutorials.
This version of the workspace are built and tested for using PyAutoFit v0.73.0.
Support for installation issues and integrating your modeling software with PyAutoFit is available by raising an issue on the autofit_workspace GitHub page. or joining the PyAutoFit Slack channel, where we also provide the latest updates on PyAutoFit.
Slack is invitation-only, so if you'd like to join send an email requesting an invite.