Unpacking Software Livestream

Join our monthly Unpacking Software livestream to hear about the latest news, chat and opinion on packaging, software deployment and lifecycle management!

Learn More

Chocolatey Product Spotlight

Join the Chocolatey Team on our regular monthly stream where we put a spotlight on the most recent Chocolatey product releases. You'll have a chance to have your questions answered in a live Ask Me Anything format.

Learn More

Chocolatey Coding Livestream

Join us for the Chocolatey Coding Livestream, where members of our team dive into the heart of open source development by coding live on various Chocolatey projects. Tune in to witness real-time coding, ask questions, and gain insights into the world of package management. Don't miss this opportunity to engage with our team and contribute to the future of Chocolatey!

Learn More

Calling All Chocolatiers! Whipping Up Windows Automation with Chocolatey Central Management

Webinar from
Wednesday, 17 January 2024

We are delighted to announce the release of Chocolatey Central Management v0.12.0, featuring seamless Deployment Plan creation, time-saving duplications, insightful Group Details, an upgraded Dashboard, bug fixes, user interface polishing, and refined documentation. As an added bonus we'll have members of our Solutions Engineering team on-hand to dive into some interesting ways you can leverage the new features available!

Watch On-Demand
Chocolatey Community Coffee Break

Join the Chocolatey Team as we discuss all things Community, what we do, how you can get involved and answer your Chocolatey questions.

Watch The Replays
Chocolatey and Intune Overview

Webinar Replay from
Wednesday, 30 March 2022

At Chocolatey Software we strive for simple, and teaching others. Let us teach you just how simple it could be to keep your 3rd party applications updated across your devices, all with Intune!

Watch On-Demand
Chocolatey For Business. In Azure. In One Click.

Livestream from
Thursday, 9 June 2022

Join James and Josh to show you how you can get the Chocolatey For Business recommended infrastructure and workflow, created, in Azure, in around 20 minutes.

Watch On-Demand
The Future of Chocolatey CLI

Livestream from
Thursday, 04 August 2022

Join Paul and Gary to hear more about the plans for the Chocolatey CLI in the not so distant future. We'll talk about some cool new features, long term asks from Customers and Community and how you can get involved!

Watch On-Demand
Hacktoberfest Tuesdays 2022

Livestreams from
October 2022

For Hacktoberfest, Chocolatey ran a livestream every Tuesday! Re-watch Cory, James, Gary, and Rain as they share knowledge on how to contribute to open-source projects such as Chocolatey CLI.

Watch On-Demand

Downloads:

20,040

Downloads of v 2.0.1:

523

Last Update:

21 Jul 2024

Package Maintainer(s):

Software Author(s):

  • NumPy developers

Tags:

numpy python scientific computing

NumPy

  • 1
  • 2
  • 3

2.0.1 | Updated: 21 Jul 2024

Downloads:

20,040

Downloads of v 2.0.1:

523

Software Author(s):

  • NumPy developers

NumPy 2.0.1

Legal Disclaimer: Neither this package nor Chocolatey Software, Inc. are affiliated with or endorsed by NumPy developers. The inclusion of NumPy developers trademark(s), if any, upon this webpage is solely to identify NumPy developers goods or services and not for commercial purposes.

  • 1
  • 2
  • 3

This Package Contains an Exempted Check

Not All Tests Have Passed


Validation Testing Passed


Verification Testing Exemption:

Dependency on kb2919355 which requires a reboot.

Details

Scan Testing Successful:

No detections found in any package files

Details
Learn More

Deployment Method: Individual Install, Upgrade, & Uninstall

To install NumPy, run the following command from the command line or from PowerShell:

>

To upgrade NumPy, run the following command from the command line or from PowerShell:

>

To uninstall NumPy, run the following command from the command line or from PowerShell:

>

Deployment Method:

NOTE

This applies to both open source and commercial editions of Chocolatey.

1. Enter Your Internal Repository Url

(this should look similar to https://community.chocolatey.org/api/v2/)


2. Setup Your Environment

1. Ensure you are set for organizational deployment

Please see the organizational deployment guide

2. Get the package into your environment

  • Open Source or Commercial:
    • Proxy Repository - Create a proxy nuget repository on Nexus, Artifactory Pro, or a proxy Chocolatey repository on ProGet. Point your upstream to https://community.chocolatey.org/api/v2/. Packages cache on first access automatically. Make sure your choco clients are using your proxy repository as a source and NOT the default community repository. See source command for more information.
    • You can also just download the package and push it to a repository Download

3. Copy Your Script

choco upgrade numpy -y --source="'INTERNAL REPO URL'" [other options]

See options you can pass to upgrade.

See best practices for scripting.

Add this to a PowerShell script or use a Batch script with tools and in places where you are calling directly to Chocolatey. If you are integrating, keep in mind enhanced exit codes.

If you do use a PowerShell script, use the following to ensure bad exit codes are shown as failures:


choco upgrade numpy -y --source="'INTERNAL REPO URL'" 
$exitCode = $LASTEXITCODE

Write-Verbose "Exit code was $exitCode"
$validExitCodes = @(0, 1605, 1614, 1641, 3010)
if ($validExitCodes -contains $exitCode) {
  Exit 0
}

Exit $exitCode

- name: Install numpy
  win_chocolatey:
    name: numpy
    version: '2.0.1'
    source: INTERNAL REPO URL
    state: present

See docs at https://docs.ansible.com/ansible/latest/modules/win_chocolatey_module.html.


chocolatey_package 'numpy' do
  action    :install
  source   'INTERNAL REPO URL'
  version  '2.0.1'
end

See docs at https://docs.chef.io/resource_chocolatey_package.html.


cChocoPackageInstaller numpy
{
    Name     = "numpy"
    Version  = "2.0.1"
    Source   = "INTERNAL REPO URL"
}

Requires cChoco DSC Resource. See docs at https://github.com/chocolatey/cChoco.


package { 'numpy':
  ensure   => '2.0.1',
  provider => 'chocolatey',
  source   => 'INTERNAL REPO URL',
}

Requires Puppet Chocolatey Provider module. See docs at https://forge.puppet.com/puppetlabs/chocolatey.


4. If applicable - Chocolatey configuration/installation

See infrastructure management matrix for Chocolatey configuration elements and examples.

Package Approved

This package was approved as a trusted package on 21 Jul 2024.

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 = '2.0.1'
 
$proxy = Get-EffectiveProxy
if ($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 2.0.0 159 Sunday, June 16, 2024 Approved
NumPy 1.26.4 454 Tuesday, February 6, 2024 Approved
NumPy 1.26.3 173 Wednesday, January 3, 2024 Approved
NumPy 1.26.1 447 Sunday, October 15, 2023 Approved
NumPy 1.26.0 177 Sunday, September 17, 2023 Approved
NumPy 1.25.2 316 Monday, July 31, 2023 Approved
NumPy 1.25.1 175 Sunday, July 9, 2023 Approved
NumPy 1.25.0 160 Saturday, June 17, 2023 Approved
NumPy 1.24.3 322 Sunday, April 23, 2023 Approved
NumPy 1.24.2 577 Monday, February 6, 2023 Approved
NumPy 1.24.1 244 Monday, December 26, 2022 Approved
NumPy 1.24.0 134 Monday, December 19, 2022 Approved
NumPy 1.23.5 220 Sunday, November 20, 2022 Approved
NumPy 1.23.4 254 Wednesday, October 12, 2022 Approved
NumPy 1.23.3 286 Saturday, September 10, 2022 Approved
NumPy 1.23.2 308 Monday, August 15, 2022 Approved
NumPy 1.23.1 274 Saturday, July 9, 2022 Approved
NumPy 1.23.0 160 Thursday, June 23, 2022 Approved
NumPy 1.22.4 200 Saturday, May 21, 2022 Approved
NumPy 1.22.3 388 Tuesday, March 8, 2022 Approved
NumPy 1.22.2 266 Friday, February 4, 2022 Approved
NumPy 1.22.1 236 Saturday, January 15, 2022 Approved
NumPy 1.22.0 182 Saturday, January 1, 2022 Approved
NumPy 1.21.5 212 Monday, December 20, 2021 Approved
NumPy 1.21.4 341 Friday, November 5, 2021 Approved
NumPy 1.21.3 164 Thursday, October 21, 2021 Approved
NumPy 1.21.2 593 Monday, August 16, 2021 Approved
NumPy 1.21.1 185 Monday, July 19, 2021 Approved
NumPy 1.21.0 215 Tuesday, June 22, 2021 Approved
NumPy 1.20.3 246 Monday, May 10, 2021 Approved
NumPy 1.20.2 261 Sunday, March 28, 2021 Approved
NumPy 1.20.1 305 Monday, February 8, 2021 Approved
NumPy 1.20.0 187 Sunday, January 31, 2021 Approved
NumPy 1.19.5 257 Wednesday, January 6, 2021 Approved
NumPy 1.19.4 502 Monday, November 2, 2020 Approved
NumPy 1.19.3 212 Thursday, October 29, 2020 Approved
NumPy 1.19.2 550 Friday, September 11, 2020 Approved
NumPy 1.19.1 366 Wednesday, July 22, 2020 Approved
NumPy 1.18.5 378 Friday, June 5, 2020 Approved
NumPy 1.18.4 226 Sunday, May 3, 2020 Approved
NumPy 1.18.3 318 Monday, April 20, 2020 Approved
NumPy 1.18.2 365 Tuesday, March 17, 2020 Approved
NumPy 1.18.1 599 Tuesday, January 7, 2020 Approved
NumPy 1.18.0 287 Monday, December 23, 2019 Approved
NumPy 1.17.4 653 Monday, November 11, 2019 Approved
NumPy 1.17.3 451 Thursday, October 17, 2019 Approved
NumPy 1.17.2 383 Saturday, September 7, 2019 Approved
NumPy 1.17.1 430 Tuesday, August 27, 2019 Approved
NumPy 1.17.0 353 Saturday, July 27, 2019 Approved
NumPy 1.16.4 424 Wednesday, May 29, 2019 Approved
NumPy 1.16.3 255 Tuesday, May 14, 2019 Approved
numpy 1.8.1 3423 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.
comments powered by Disqus