Skip to main content

Opti is a Python package that helps you design and optimize engineered systems.

Project description

NumOpt is a Numerical Optimization Tool Python package that helps you design and optimize engineered systems.

` pip install NumOpt `

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

numopt-0.0.1.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

numopt-0.0.1-py3-none-any.whl (3.6 kB view details)

Uploaded Python 3

File details

Details for the file numopt-0.0.1.tar.gz.

File metadata

  • Download URL: numopt-0.0.1.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numopt-0.0.1.tar.gz
Algorithm Hash digest
SHA256 82e9638b6cd3e436611893dbba29ba62808ceb6115807b507ee70cad41f191ba
MD5 06efff839f367414e0707fdeef163e7f
BLAKE2b-256 a13aca936c113ef7299e8a36841da4bfa67c62f0389b1b2e7871e9d3c76ff80c

See more details on using hashes here.

Provenance

The following attestation bundles were made for numopt-0.0.1.tar.gz:

Publisher: python-publish.yml on Zcaic/NumOpt

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file numopt-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: numopt-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for numopt-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0768a9c14a2f32b97109ac75daba63c714c6cd5ccaec1fb813a7cf34f5188bfc
MD5 6ac029c586f080cb8cb3bbda90e3c851
BLAKE2b-256 53ef653adf8fe5318226e88f04c8a10f00751d113cf80f991ed9f88f964d0776

See more details on using hashes here.

Provenance

The following attestation bundles were made for numopt-0.0.1-py3-none-any.whl:

Publisher: python-publish.yml on Zcaic/NumOpt

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page