Numerics In Abstract Spaces

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pmli from gravatar.com pmli Avatar for sdrave from gravatar.com sdrave

Unverified details

These details have not been verified by PyPI
Meta
  • License: BSD License (Copyright NIAS developers and contributors. All rights reserved. Redistribution and use in source a...)
  • Author: NIAS developers
  • Maintainer: Stephan Rave
  • Requires: Python >=3.8
Classifiers

Project description

Numerics In Abstract Spaces

PyPI Documentation Status Tests

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for pmli from gravatar.com pmli Avatar for sdrave from gravatar.com sdrave

Unverified details

These details have not been verified by PyPI
Meta
  • License: BSD License (Copyright NIAS developers and contributors. All rights reserved. Redistribution and use in source a...)
  • Author: NIAS developers
  • Maintainer: Stephan Rave
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

This version

0.0.2

0.0.1

0.0.1.dev0 pre-release

Download files

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

Source Distribution

nias-0.0.2.tar.gz (19.0 kB view details)

Uploaded Source

Built Distribution

nias-0.0.2-py3-none-any.whl (23.7 kB view details)

Uploaded Python 3

File details

Details for the file nias-0.0.2.tar.gz.

File metadata

  • Download URL: nias-0.0.2.tar.gz
  • Upload date:
  • Size: 19.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for nias-0.0.2.tar.gz
Algorithm Hash digest
SHA256 1a8d11b43634d328d58f021b1880c85abc04d01b8b3811727d90674ee79f6e8c
MD5 bf667ab01392688ce1cd8faa6ea32742
BLAKE2b-256 712862a9cbe5972304e884129f9ad2dcd74f5d9c01a24defd2393b3ac90aca25

See more details on using hashes here.

Provenance

File details

Details for the file nias-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: nias-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 23.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for nias-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 34303bd650bfd351ea0363797c90f553a0cfd8316ef260affbf5b60625a19a22
MD5 711f0057234f1e413ca90f890bdab149
BLAKE2b-256 ec21ee844941befff69734fc18d53816ddd039eb22106275dbbe0960f7d33f6c

See more details on using hashes here.

Provenance

Supported by

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