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Downloads:

18,062

Downloads of v 1.19.0:

47

Last Update:

21 Jun 2020

Package Maintainer(s):

Software Author(s):

  • SciPy developers

Tags:

numpy python scientific computing

NumPy

Downloads:

18,062

Downloads of v 1.19.0:

47

Software Author(s):

  • SciPy developers

NumPy

  • 1
  • 2
  • 3

Some Checks Are Exempted or Have Failed

Not All Tests Have Passed


Validation Testing Failed


Verification Testing Exemption:

Dependency on kb2919355 which requires a reboot.

Details

Scan Testing Successful:

No detections found in any package files

Details
WARNING

This package was rejected on 29 Jul 2020. The reviewer chtof has listed the following reason(s):

chocolatey-ops (reviewer) on 21 Jun 2020 00:59:33 +00:00:

numpy has failed automated validation.

Requirements

Requirements represent the minimum quality of a package that is acceptable. When a package version has failed requirements, the package version requires fixing and/or response by the maintainer. Provided a Requirement has flagged correctly, it must be fixed before the package version can be approved. The exact same version should be uploaded during moderation review.

  • The DocsUrl element in the nuspec file should be a valid Url. Please correct this More...
  • The LicenseUrl element in the nuspec file should be a valid Url. Please correct this More...
Guidelines

Guidelines are strong suggestions that improve the quality of a package version. These are considered something to fix for next time to increase the quality of the package. Over time Guidelines can become Requirements. A package version can be approved without addressing Guideline comments but will reduce the quality of the package.

  • In the Description element of the nuspec file a potentially invalid Url has been found. Recommendation is to fix this URL More...

chtof (maintainer) on 29 Jul 2020 16:22:50 +00:00:

Replaced by a newer version
Status Change - Changed status of package from 'submitted' to 'rejected'.

Description

NumPy is the fundamental package for scientific computing with Python. It contains among other things:

  • a powerful N-dimensional array object
  • sophisticated (broadcasting) functions
  • tools for integrating C/C++ and Fortran code
  • useful linear algebra, Fourier transform, and random number capabilities
    Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

NumPy is licensed under the BSD license, enabling reuse with few restrictions.

Getting Started

To install NumPy, we strongly recommend using a scientific Python distribution. See Installing the SciPy Stack for details.

Many high quality online tutorials, courses, and books are available to get started with NumPy. For a quick introduction to NumPy we provide the NumPy Tutorial. We also recommend the SciPy Lecture Notes for a broader introduction to the scientific Python ecosystem.

For more information on the SciPy Stack (for which NumPy provides the fundamental array data structure), see scipy.org.

Documentation

The most up-to-date NumPy documentation can be found at Latest (development) version. It includes a user guide, full reference documentation, a developer guide, meta information, and “NumPy Enhancement Proposals” (which include the NumPy Roadmap and detailed plans for major new features).

A complete archive of documentation for all NumPy releases (minor versions; bug fix releases don’t contain significant documentation changes) since 2009 can be found at https://docs.scipy.org.


tools\chocolateyinstall.ps1
Update-SessionEnvironment
$version = '1.19.0'
 
$proxy = Get-EffectiveProxy
if ($proxy) {
  Write-Host "Setting CLI proxy: $proxy"
  $env:http_proxy = $env:https_proxy = $proxy
}
python -m pip install numpy==$version
tools\chocolateyuninstall.ps1
python -m pip uninstall numpy -y

Log in or click on link to see number of positives.

In cases where actual malware is found, the packages are subject to removal. Software sometimes has false positives. Moderators do not necessarily validate the safety of the underlying software, only that a package retrieves software from the official distribution point and/or validate embedded software against official distribution point (where distribution rights allow redistribution).

Chocolatey Pro provides runtime protection from possible malware.

Add to Builder Version Downloads Last Updated Status
NumPy 1.26.3 154 Wednesday, January 3, 2024 Approved
NumPy 1.26.1 424 Sunday, October 15, 2023 Approved
NumPy 1.26.0 156 Sunday, September 17, 2023 Approved
NumPy 1.25.2 285 Monday, July 31, 2023 Approved
NumPy 1.25.1 155 Sunday, July 9, 2023 Approved
NumPy 1.25.0 141 Saturday, June 17, 2023 Approved
NumPy 1.24.3 298 Sunday, April 23, 2023 Approved
NumPy 1.24.2 559 Monday, February 6, 2023 Approved
NumPy 1.24.1 216 Monday, December 26, 2022 Approved
NumPy 1.24.0 115 Monday, December 19, 2022 Approved
NumPy 1.23.5 189 Sunday, November 20, 2022 Approved
NumPy 1.23.4 236 Wednesday, October 12, 2022 Approved
NumPy 1.23.3 273 Saturday, September 10, 2022 Approved
NumPy 1.23.2 290 Monday, August 15, 2022 Approved
NumPy 1.23.1 259 Saturday, July 9, 2022 Approved
NumPy 1.23.0 144 Thursday, June 23, 2022 Approved
NumPy 1.22.4 181 Saturday, May 21, 2022 Approved
NumPy 1.22.3 372 Tuesday, March 8, 2022 Approved
NumPy 1.22.2 241 Friday, February 4, 2022 Approved
NumPy 1.22.1 213 Saturday, January 15, 2022 Approved
NumPy 1.22.0 164 Saturday, January 1, 2022 Approved
NumPy 1.21.5 188 Monday, December 20, 2021 Approved
NumPy 1.21.4 320 Friday, November 5, 2021 Approved
NumPy 1.21.3 149 Thursday, October 21, 2021 Approved
NumPy 1.21.2 571 Monday, August 16, 2021 Approved
NumPy 1.21.1 168 Monday, July 19, 2021 Approved
NumPy 1.21.0 194 Tuesday, June 22, 2021 Approved
NumPy 1.20.3 227 Monday, May 10, 2021 Approved
NumPy 1.20.2 236 Sunday, March 28, 2021 Approved
NumPy 1.20.1 280 Monday, February 8, 2021 Approved
NumPy 1.20.0 169 Sunday, January 31, 2021 Approved
NumPy 1.19.5 232 Wednesday, January 6, 2021 Approved
NumPy 1.19.4 481 Monday, November 2, 2020 Approved
NumPy 1.19.3 189 Thursday, October 29, 2020 Approved
NumPy 1.19.2 527 Friday, September 11, 2020 Approved
NumPy 1.19.1 344 Wednesday, July 22, 2020 Approved
NumPy 1.18.5 356 Friday, June 5, 2020 Approved
NumPy 1.18.4 209 Sunday, May 3, 2020 Approved
NumPy 1.18.3 294 Monday, April 20, 2020 Approved
NumPy 1.18.2 335 Tuesday, March 17, 2020 Approved
NumPy 1.18.1 578 Tuesday, January 7, 2020 Approved
NumPy 1.18.0 262 Monday, December 23, 2019 Approved
NumPy 1.17.4 627 Monday, November 11, 2019 Approved
NumPy 1.17.3 432 Thursday, October 17, 2019 Approved
NumPy 1.17.2 359 Saturday, September 7, 2019 Approved
NumPy 1.17.1 409 Tuesday, August 27, 2019 Approved
NumPy 1.17.0 338 Saturday, July 27, 2019 Approved
NumPy 1.16.4 404 Wednesday, May 29, 2019 Approved
NumPy 1.16.3 238 Tuesday, May 14, 2019 Approved
numpy 1.8.1 3387 Tuesday, July 15, 2014 Approved

Discussion for the NumPy Package

Ground Rules:

  • This discussion is only about NumPy and the NumPy package. If you have feedback for Chocolatey, please contact the Google Group.
  • This discussion will carry over multiple versions. If you have a comment about a particular version, please note that in your comments.
  • The maintainers of this Chocolatey Package will be notified about new comments that are posted to this Disqus thread, however, it is NOT a guarantee that you will get a response. If you do not hear back from the maintainers after posting a message below, please follow up by using the link on the left side of this page or follow this link to contact maintainers. If you still hear nothing back, please follow the package triage process.
  • Tell us what you love about the package or NumPy, or tell us what needs improvement.
  • Share your experiences with the package, or extra configuration or gotchas that you've found.
  • If you use a url, the comment will be flagged for moderation until you've been whitelisted. Disqus moderated comments are approved on a weekly schedule if not sooner. It could take between 1-5 days for your comment to show up.
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