Intrepydd compiles Python code with type annotations to optimized C++ code. Check out our paper to learn more: Intrepydd: performance, productivity, and portability for data science application kernels.
A web tool is now available to try Intrepydd online: https://tongzhou80.github.io/intrepydd-web/index.html.
Install
Anaconda (Python3) is required to run Intrepydd. Install intrepydd using pip:
pip install intrepydd
Usage Example
import intrepydd
from intrepydd import float64
def foo() -> float64:
a = 1.0
b = 2.0
c = (a + b) * 3.0
return c
foo1 = intrepydd.compile(foo)
print(foo1())
1 maintainer
Metadata
1 maintainer
Release files for intrepydd 0.1.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| intrepydd-0.1.15.tar.gz | 48.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| intrepydd-0.1.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 106.8 kB
Release files / intrepydd-0.1.15.tar.gz
| Download URL | intrepydd-0.1.15.tar.gz |
|---|---|
| Size | 48.4 kB |
| Tags | Source |
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No |
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twine/5.1.1 CPython/3.12.4
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Release files / intrepydd-0.1.15-py3-none-any.whl
| Download URL | intrepydd-0.1.15-py3-none-any.whl |
|---|---|
| Size | 58.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
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