xlcalculator
ideas
| xlcalculator | ideas | |
|---|---|---|
| 3 | 81 | |
| 107 | 1,647 | |
| - | 0.2% | |
| 4.4 | 7.3 | |
| 3 months ago | 2 months ago | |
| Python | ||
| GNU General Public License v3.0 or later | - |
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xlcalculator
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Array Languages vs. the Curse of the Spreadsheet
I know of some Python libraries that do something like this:
https://github.com/bradbase/xlcalculator -
Python Type Hints Are Turing Complete
Looks like it's xlcalculator:
https://github.com/bradbase/xlcalculator#addingregistering-e...
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access excel sheet programatically
Kind of. There are a few libraries that attempt to give full Excel formula functionality in Python, but they are not complete. That is to say, they don't work on all formulae, and certain newer Excel feature (like array formulae) are unsupported. These are: pycel, koala, xlcalculator.
ideas
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Type information for faster Python C extensions
Lower latency native calls in Python would be extremely useful, thank you for your work! Is the following GitHub issue the right place to monitor progress? https://github.com/faster-cpython/ideas/issues/546
I'm open to doing some benchmarking. Several of my libraries have pure CPython bindings (StringZilla, UCall, SimSIMD), and all perform low-latency SIMD-accelerated ops, so might be a good testing ground :)
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How Many Lines of C It Takes to Execute a and B in Python?
Recent CPython development has been towards optimizations and addressing use cases that benefit from optimizations, some coming from the faster CPython initiative. You might just get your JIT[1].
[1] https://github.com/faster-cpython/ideas/wiki/Workflow-for-3....
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GIL removal and the Faster CPython project
The faster-cpython folks seem to be working towards a JIT (https://github.com/faster-cpython/ideas/tree/main/3.13) and both pyston and cinder have JITs. So I don't think anyone has ruled one out.
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Our Plan for Python 3.13
faster-cpython team has done a lot of work to experiment on it: https://github.com/faster-cpython/ideas/issues/485#issuecomm...
It kind of sounds like migration to register based is a foregone conclusion, but it's not very clear to me.
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Faster CPython at PyCon, part two
lots of big ideas are still remaining to be done. One example is the register based interpreter, see https://github.com/faster-cpython/ideas/issues/485
A previous plan called for the beginning of a JIT in 3.12, seen as "Trace optimized interpreter" here: https://github.com/faster-cpython/ideas/wiki/Workflow-for-3....
- EdgeDB – A graph-relational database built on top of Postgres
- Python 3.12 Nogil Benchmark
What are some alternatives?
pycel - A library for compiling excel spreadsheets to python code & visualizing them as a graph
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.
faster-cpython - How to make CPython faster.
koala - Transpose your Excel calculations into python for better performances and scaling.
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
json-parser-in-typescript-very-bad-idea-please-dont-use - JSON Parser written entirely in TypeScript's type system
pyenv-virtualenv - a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
json-parser-in-typescript-ver
jnumpy - Writing Python C extensions in Julia within 5 minutes.
di - Pythonic dependency injection
nogil - Multithreaded Python without the GIL