pypreprocessor
A c-style macro preprocessor written in Python (by interpreters)
fypp
Python powered Fortran preprocessor (by aradi)
| pypreprocessor | fypp | |
|---|---|---|
| 1 | 4 | |
| 141 | 178 | |
| 1.4% | - | |
| 0.0 | 4.9 | |
| about 2 years ago | 23 days ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pypreprocessor
Posts with mentions or reviews of pypreprocessor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-20.
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pointers.py - segmentation faults in python
I also found pypreprocessor.
fypp
Posts with mentions or reviews of fypp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-24.
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Faer-rs: Linear algebra foundation for the Rust programming language
most of it's just general programming niceness. If you have to spend a few hours to wrestle with make/bazel/etc every time you need to reach for a dependency, you don't depend on things and have to rewrite them yourself. If your programming language doesn't have good ways of writing generic code, you either have to write the code once per precision (and do all your bugfixes/perf improvements in triplicate) or do very hacky metaprogramming where you use Python to generate your low level code (yes the Fortran people actually do this https://github.com/aradi/fypp), or use the C preprocesser which is even worse.
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what are some painful issues you face while coding in fortran?
Please don't use #define in Fortran. It is not standard compliant. There is no guarantee that anything will ever be done about a # symbol in your code. There is no Fortran preprocessor (though there are a few open projects example). Also, if you're working with Fortran developers they'd expect to see integer. Also, we don't have the same guarantees of variable sizes like in C soF64andI32may be misleading unless you're usingISO_C_BINDING` or similar.
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How do I reduce my code size when creating my own type?
If you really really need to reduce code size for future projects, you might want to use preprocessors like FYPP. It basically insert code snippets at specified points in your code. It's also very helpful for automating the copy-pasting of redundant codes.
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Tips for generic programming
If you are fine with using a preprocessor, you could use Fypp for example instead of include files.
What are some alternatives?
When comparing pypreprocessor and fypp you can also consider the following projects:
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
dataclassy - A fast and flexible reimplementation of data classes
cpip - CPIP - a C/C++ preprocessor implemented in Python.
pyccel - Python extension language using accelerators
linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
hissp - It's Python with a Lissp.
FortranTip - Short instructional Fortran codes associated with Twitter @FortranTip
hy - A dialect of Lisp that's embedded in Python