Markdown Files

Whether you write your book’s content in Jupyter Notebooks (.ipynb) or in regular markdown files (.md), you’ll write in the same flavor of markdown called MyST Markdown. This is a simple file to help you get started and show off some syntax.

What is MyST?

MyST stands for “Markedly Structured Text”. It is a slight variation on a flavor of markdown called “CommonMark” markdown, with small syntax extensions to allow you to write roles and directives in the Sphinx ecosystem.

For more about MyST, see the MyST Markdown Overview.

Sample Roles and Directives

Roles and directives are two of the most powerful tools in Jupyter Book. They are like functions, but written in a markup language. They both serve a similar purpose, but roles are written in one line, whereas directives span many lines. They both accept different kinds of inputs, and what they do with those inputs depends on the specific role or directive that is being called.

Here is a “note” directive:

Note

Here is a note

It will be rendered in a special box when you build your book.

Here is an inline directive to refer to a document: Notebooks with MyST Markdown.

Citations

You can also cite references that are stored in a bibtex file. For example, the following syntax: {cite}`holdgraf_evidence_2014` will render like this: [].

Moreover, you can insert a bibliography into your page with this syntax: The {bibliography} directive must be used for all the {cite} roles to render properly. For example, if the references for your book are stored in references.bib, then the bibliography is inserted with:

[CYOS18]

Naoya Chikano, Kazuyoshi Yoshimi, Junya Otsuki, and Hiroshi Shinaoka. irbasis: Open-source database and software for intermediate-representation basis functions of imaginary-time Green’s function. Computer Physics Communications, 240:181–188, 2018. URL: https://www.sciencedirect.com/science/article/pii/S001046551930058X?via\%3Dihub, arXiv:1807.05237, doi:10.1016/j.cpc.2019.02.006.

[KCP22]

Jason Kaye, Kun Chen, and Olivier Parcollet. Discrete lehmann representation of imaginary time green's functions. Phys. Rev. B, 105:235115, Jun 2022. URL: https://link.aps.org/doi/10.1103/PhysRevB.105.235115, doi:10.1103/PhysRevB.105.235115.

[LWC+20]

Jia Li, Markus Wallerberger, Naoya Chikano, Chia-Nan Yeh, Emanuel Gull, and Hiroshi Shinaoka. Sparse sampling approach to efficient ab initio calculations at finite temperature. Physical Review B, 101(3):035144, 01 2020. doi:10.1103/physrevb.101.035144.

[MNAM24]

Hitoshi Mori, Takuya Nomoto, Ryotaro Arita, and Elena R. Margine. Efficient anisotropic migdal-eliashberg calculations with an intermediate representation basis and wannier interpolation. Phys. Rev. B, 110:064505, Aug 2024. URL: https://link.aps.org/doi/10.1103/PhysRevB.110.064505, doi:10.1103/PhysRevB.110.064505.

[SCG+21]

Hiroshi Shinaoka, Naoya Chikano, Emanuel Gull, Jia Li, Takuya Nomoto, Junya Otsuki, Markus Wallerberger, Tianchun Wang, and Kazuyoshi Yoshimi. Efficient ab initio many-body calculations based on sparse modeling of matsubara green's function. 2021. URL: https://arxiv.org/abs/2106.12685, doi:10.48550/ARXIV.2106.12685.

[SOOY17]

Hiroshi Shinaoka, Junya Otsuki, Masayuki Ohzeki, and Kazuyoshi Yoshimi. Compressing Green's function using intermediate representation between imaginary-time and real-frequency domains. Physical Review B, 96(3):035147 – 8, 07 2017. URL: https://journals.aps.org/prb/pdf/10.1103/PhysRevB.96.035147, doi:10.1103/physrevb.96.035147.

Learn more

This is just a simple starter to get you started. You can learn a lot more at jupyterbook.org.