Inspired by the incredible power of the C++ interpreter Cling and its associated Jupyter kernel xeus-cling, jfk-fling is a prototype kernel that facilitates iterative and investigatory computing using modern Fortran.

The purpose of the jfk-fling kernel is to speed up the learning of modern Fortran. A number of resources have been made available that build upon the jfk-fling kernel, some of which are listed below:

• Introduction to jfk-fling
• Fortran 90 with jfk-fling
• Object-oriented programming with jfk-fling
• ...

Please submit a pull request to add a link to any other jfk-fling notebook material.

This code is released under the MIT license, with copyright held by the individual contributors. See the list of contributors at https://github.com/pelson/jfk-fling/graphs/contributors.

This prototype was developed in support of learning modern Fortran, and it has been invaluable for that purpose. I am releasing this work in the hope that it can be useful to others who want to learn, or indeed develop learning resources for, modern Fortran.

As such, I do not intend to develop this kernel on an ongoing basis - anybody who wishes to do so may either fork the repository, or request merge access to this repository.

• Whilst it may appear that cells are being executed iteratively, each cell is in fact an entirely independent execution environment. For example, suppose you have a long-running execution cell followed by a simple cell to print the results, it will result in the long-running code being executed twice.

• In order to interpret the code we use fparser. Any limitations of parsing within fparser are therefore inherited, as well as some additional constraints on the source form.

• Cling
• fparser
• Jupyter
• jupyter-fortran-kernel & jupyter-c-kernel - the design of this kernel was significantly influenced by these implementations.
• xeus-cling