Librería nivel 7mo semestre
descripción: bla bla bla ...
He aquí la librería para solucionar integrales numéricas mediante el método de Monte Carlo. Necesita ingresar la función (en una variable), el intervalo de integración y el número de iteraciones para ejecutar el método de Monte Carlo.
pip install fbMonteCarlo
Release files for fbMonteCarlo 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fbMonteCarlo-0.2.0.tar.gz | 2.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fbMonteCarlo-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.9 kB
Release files / fbMonteCarlo-0.2.0.tar.gz
| Download URL | fbMonteCarlo-0.2.0.tar.gz |
|---|---|
| Size | 2.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
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Release files / fbMonteCarlo-0.2.0-py3-none-any.whl
| Download URL | fbMonteCarlo-0.2.0-py3-none-any.whl |
|---|---|
| Size | 2.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
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