Awesome
TREXIO tutorials
The goal of this repository is to provide material for new users of the TREXIO library in general
and of the trexio
Python API in particular.
To obtain a local copy of the .ipynb
files, you can
clone this repository
and manually convert notebooks using, e.g. jupytext --to notebook tutorial_benzene.md
command.
Content
- Learn how to write and read data using the
trexio
Python API: the basics demonstrated by writing and reading some data corresponding to benzene molecule. - Learn how to write and read the CI determinants and their coefficients using the
trexio
Python API: the advanced use-case demonstrated by writing and reading the multi-determinant wave function components with arbitrary values.
Why Jupyter Notebooks?
- Jupyter notebooks are a common format for communicating scientific information.
- Jupyter notebooks can be launched in Binder, so that users can interact with tutorials.
Note
You may notice that the notebooks are stored in markdown format (.md
files)
instead of the conventional .ipynb
format.
Conversion between .ipynb
and .md
notebook formats is facilitated by the
jupytext package.