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Merge pull request #62 from numpy/l10n_gsod-newsite
New Crowdin translations
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‎content/en/about.md

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---
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title: About Us
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sidebar: false
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---
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_Some information about the NumPy project and community_
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NumPy is an open source project aiming to enable numerical computing with Python. It was created in 2005, building on early work of the Numerical and Numarray libraries. NumPy will always be 100% open-source software, free for all to use and released under the liberal terms of the [modified BSD license](https://github.com/numpy/numpy/blob/master/LICENSE.txt).
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NumPy is developed in the open on GitHub, through the consensus of the NumPy and wider scientific Python community. For more information on our governance approach, please see our [Governance Document](https://www.numpy.org/devdocs/dev/governance/index.html).
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# Steering Council
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The role of the NumPy Steering Council is to ensure, through working with and serving the broader NumPy community, the long-term well-being of the project, both technically and as a community. The NumPy Steering Council currently consists of the following members (in alphabetical order):
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TODO / to decide: add similar widget gallery as Jupyter and the new Pandas website (under development)? Or a simple list of names?
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## Teams
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The NumPy is growing, we have separate teams for: _TODO_
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## Sponsors
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NumPy receives direct funding from the following sources: _TODO: add logos for Sloan and Moore foundations, and Tidelift_
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## Institutional Partners
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Institutional Partners are organizations that support the project by employing people that contribute to NumPy as part of their job. Current Institutional Partners include: _TODO: add logos for Berkeley and Quansight_
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## Donate
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If you have found NumPy to be useful in your work, research or company, please consider making a donation to the project commensurate with your resources. Any amount helps! All donations will be used strictly to fund the development of NumPy’s open source software, documentation and community.
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NumPy is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. NumFOCUS provides NumPy with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. Visit numfocus.org for more information.
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Donations to NumPy are managed by [NumFOCUS](https://numfocus.org). For donors in the United States, your gift is tax-deductible to the extent provided by law. As with any donation, you should consult with your tax adviser about your particular tax situation.
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NumPy's Steering Council will make the decisions on how to best use any funds received. Technical and infrastructure priorities are documented on the [NumPy Roadmap](https://www.numpy.org/neps/index.html#roadmap).
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TODO: embed NumFOCUS logo and donation button here.

‎content/en/arraycomputing.md

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title: Array Computing
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sidebar: false
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---
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TODO

‎content/en/community.md

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---
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title: Community
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sidebar: false
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---
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NumPy offers a number of communication channels available to individuals interested in using and contributing to the project.
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We welcome contributions and contributors of all kinds - whether they come as contributions to code, participation in the community, opening issues and pointing out bugs, or simply sharing your work with others.
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### Join the NumPy community
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If you’re interested in joining the NumPy community (yay!) we recommend checking out the [NumPy Contributing guide](https://www.numpy.org/devdocs/dev/index.html). This contains information about ways to get involved, the skills that are useful for each project area or activity, how to get started working on code, documentation or the website, and other ways that you can become a part of the NumPy community.
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### Participate online
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NumPy also has a number of online communication channels to help keep in touch.
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As you interact with others in the NumPy community, remember that we have a strong commitment to being an open, inclusive, and positive community. Please read the [NumPy Code of Conduct](https://www.numpy.org/devdocs/dev/conduct/code_of_conduct.html) for guidance on how to interact with others in a way that makes the community thrive.
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Below is a short list of communication channels and GitHub repositories where you can get involved. We always welcome participation in the NumPy community.
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TODO:
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- GitHub org and main repositories
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- The numpy-discussion mailing list
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- Stack Overflow for usage questions
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- Gitter `numpy/numpy`: a real-time chatroom where users and community members help each other out.
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- Contributing guide
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- Slack for a real-time chatroom to ask questions about contributing to NumPy.
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- If you believe you’ve found a security vulnerability in NumPy, please report it using the procedure documented at https://tidelift.com/docs/security

‎content/en/contribute.md

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# TO DO - include links and logos
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**CONTRIBUTE**
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Thanks so much for clicking on “Contribute” button! You are our kind of a Pythonista!
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To thrive the NumPy project needs your expertise and enthusiasm. Not a coder? Not a problem! There are many ways to contribute to NumPy:
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| Write code | Review and comment on pull requests from other developers | Contribute educational materials (tutorials, presentations, etc.) |
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|:---------------------------------------------------------- |:--------------------------------------------------------- |:----------------------------------------------------------------- |
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| **Investigate bugs and issues on GitHub** | **Improve documentation** | **Translate content into other languages** |
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| **Answer questions on Gitter, Stack Overflow, and Reddit** | **Participate in the discussion on the mailing list** | **Serve as a community coordinator** |
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| **Reference NumPy in your papers, articles and blogs** | **Maintain and enhance our website** | **Research and help to apply for grants** |
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Our community aspires to treat everyone equally, and to value all contributions. For information on best practices in the NumPy community, please review our Code of Conduct. Try to follow this code in spirit as much as in letter, to foster an open and welcoming environment that enriches the entire open source ecosystem.
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**DONATE**
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If you have found NumPy useful in your work, please consider making a donation. Any amount helps! All donations will be used strictly to fund the development of the NumPy open source software, documentation, and community.
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NumPy is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. NumFOCUS provides NumPy with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. Visit numfocus.org for more information. Donations to NumPy are managed by NumFOCUS. For donors in the United States, your gift is tax-deductible to the extent provided by law. As with any donation, you should consult with your tax adviser about your particular tax situation.
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The NumPy Steering Council will make decisions on how to best use any funds received. Technical and infrastructure priorities are documented on the NumPy Roadmap.
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**INSTITUTIONAL PARTNERS**
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Institutional Partners are organizations that support the project by employing NumPy contributors, with contributing to the project as part of their official duties.
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Current Institutional Partners include:
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BIDS
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Quansight
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**SPONSORS**
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NumPy receives direct funding from the following sources:
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Gordon and Betty Moore Foundation
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Alfred P. Sloan Foundation
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Tidelift

‎content/en/install.md

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---
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title: Installing NumPy
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sidebar: false
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---
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The only prerequisite for NumPy is Python itself. If you don't have Python yet, we recommend you use the [Anaconda Distribution](https://www.anaconda.com/distribution) - it includes Python, NumPy, and other commonly used packages for scientific computing and data science.
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NumPy can be installed with `conda`, with `pip`, or with a package manager on macOS and Linux. For more detailed instructions, consult the [installation guide](to_be_added_to_the_docs).
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## conda
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If you use `conda`, you can install it with:
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```bash
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conda install numpy
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```
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or with:
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```bash
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conda install -c conda-forge numpy
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```
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## pip
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If you use `pip`, you can install it with:
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```bash
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pip install numpy
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```
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If your Python came with your operating system, we advise you either install a separate Python or use:
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```bash
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pip install numpy --user
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```

‎content/en/learning.md

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---
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title: Learning
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sidebar: false
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---
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## Resources to learn about NumPy
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### Tutorials
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### Books
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### Online courses
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### Teaching Resources

‎content/hi/about.md

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---
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title: About Us
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sidebar: false
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---
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_Some information about the NumPy project and community_
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NumPy is an open source project aiming to enable numerical computing with Python. It was created in 2005, building on early work of the Numerical and Numarray libraries. NumPy will always be 100% open-source software, free for all to use and released under the liberal terms of the [modified BSD license](https://github.com/numpy/numpy/blob/master/LICENSE.txt).
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NumPy is developed in the open on GitHub, through the consensus of the NumPy and wider scientific Python community. For more information on our governance approach, please see our [Governance Document](https://www.numpy.org/devdocs/dev/governance/index.html).
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# Steering Council
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The role of the NumPy Steering Council is to ensure, through working with and serving the broader NumPy community, the long-term well-being of the project, both technically and as a community. The NumPy Steering Council currently consists of the following members (in alphabetical order):
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TODO / to decide: add similar widget gallery as Jupyter and the new Pandas website (under development)? Or a simple list of names?
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## Teams
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The NumPy is growing, we have separate teams for: _TODO_
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## Sponsors
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NumPy receives direct funding from the following sources: _TODO: add logos for Sloan and Moore foundations, and Tidelift_
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## Institutional Partners
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Institutional Partners are organizations that support the project by employing people that contribute to NumPy as part of their job. Current Institutional Partners include: _TODO: add logos for Berkeley and Quansight_
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## Donate
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If you have found NumPy to be useful in your work, research or company, please consider making a donation to the project commensurate with your resources. Any amount helps! All donations will be used strictly to fund the development of NumPy’s open source software, documentation and community.
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35+
NumPy is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. NumFOCUS provides NumPy with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. Visit numfocus.org for more information.
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Donations to NumPy are managed by [NumFOCUS](https://numfocus.org). For donors in the United States, your gift is tax-deductible to the extent provided by law. As with any donation, you should consult with your tax adviser about your particular tax situation.
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NumPy's Steering Council will make the decisions on how to best use any funds received. Technical and infrastructure priorities are documented on the [NumPy Roadmap](https://www.numpy.org/neps/index.html#roadmap).
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TODO: embed NumFOCUS logo and donation button here.

‎content/hi/arraycomputing.md

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---
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title: Array Computing
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sidebar: false
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---
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TODO

‎content/hi/community.md

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---
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title: Community
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sidebar: false
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---
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NumPy offers a number of communication channels available to individuals interested in using and contributing to the project.
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We welcome contributions and contributors of all kinds - whether they come as contributions to code, participation in the community, opening issues and pointing out bugs, or simply sharing your work with others.
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### Join the NumPy community
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If you’re interested in joining the NumPy community (yay!) we recommend checking out the [NumPy Contributing guide](https://www.numpy.org/devdocs/dev/index.html). This contains information about ways to get involved, the skills that are useful for each project area or activity, how to get started working on code, documentation or the website, and other ways that you can become a part of the NumPy community.
13+
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### Participate online
15+
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NumPy also has a number of online communication channels to help keep in touch.
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As you interact with others in the NumPy community, remember that we have a strong commitment to being an open, inclusive, and positive community. Please read the [NumPy Code of Conduct](https://www.numpy.org/devdocs/dev/conduct/code_of_conduct.html) for guidance on how to interact with others in a way that makes the community thrive.
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Below is a short list of communication channels and GitHub repositories where you can get involved. We always welcome participation in the NumPy community.
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TODO:
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- GitHub org and main repositories
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- The numpy-discussion mailing list
26+
- Stack Overflow for usage questions
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- Gitter `numpy/numpy`: a real-time chatroom where users and community members help each other out.
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- Contributing guide
29+
- Slack for a real-time chatroom to ask questions about contributing to NumPy.
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- If you believe you’ve found a security vulnerability in NumPy, please report it using the procedure documented at https://tidelift.com/docs/security

‎content/hi/contribute.md

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# TO DO - include links and logos
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**CONTRIBUTE**
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Thanks so much for clicking on “Contribute” button! You are our kind of a Pythonista!
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To thrive the NumPy project needs your expertise and enthusiasm. Not a coder? Not a problem! There are many ways to contribute to NumPy:
8+
9+
| Write code | Review and comment on pull requests from other developers | Contribute educational materials (tutorials, presentations, etc.) |
10+
|:---------------------------------------------------------- |:--------------------------------------------------------- |:----------------------------------------------------------------- |
11+
| **Investigate bugs and issues on GitHub** | **Improve documentation** | **Translate content into other languages** |
12+
| **Answer questions on Gitter, Stack Overflow, and Reddit** | **Participate in the discussion on the mailing list** | **Serve as a community coordinator** |
13+
| **Reference NumPy in your papers, articles and blogs** | **Maintain and enhance our website** | **Research and help to apply for grants** |
14+
15+
Our community aspires to treat everyone equally, and to value all contributions. For information on best practices in the NumPy community, please review our Code of Conduct. Try to follow this code in spirit as much as in letter, to foster an open and welcoming environment that enriches the entire open source ecosystem.
16+
17+
18+
**DONATE**
19+
20+
If you have found NumPy useful in your work, please consider making a donation. Any amount helps! All donations will be used strictly to fund the development of the NumPy open source software, documentation, and community.
21+
22+
NumPy is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. NumFOCUS provides NumPy with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. Visit numfocus.org for more information. Donations to NumPy are managed by NumFOCUS. For donors in the United States, your gift is tax-deductible to the extent provided by law. As with any donation, you should consult with your tax adviser about your particular tax situation.
23+
24+
The NumPy Steering Council will make decisions on how to best use any funds received. Technical and infrastructure priorities are documented on the NumPy Roadmap.
25+
26+
27+
**INSTITUTIONAL PARTNERS**
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29+
Institutional Partners are organizations that support the project by employing NumPy contributors, with contributing to the project as part of their official duties.
30+
31+
Current Institutional Partners include:
32+
33+
BIDS
34+
35+
Quansight
36+
37+
38+
**SPONSORS**
39+
40+
NumPy receives direct funding from the following sources:
41+
42+
Gordon and Betty Moore Foundation
43+
44+
Alfred P. Sloan Foundation
45+
46+
Tidelift

‎content/hi/install.md

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---
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title: Installing NumPy
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sidebar: false
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---
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The only prerequisite for NumPy is Python itself. If you don't have Python yet, we recommend you use the [Anaconda Distribution](https://www.anaconda.com/distribution) - it includes Python, NumPy, and other commonly used packages for scientific computing and data science.
7+
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NumPy can be installed with `conda`, with `pip`, or with a package manager on macOS and Linux. For more detailed instructions, consult the [installation guide](to_be_added_to_the_docs).
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## conda
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If you use `conda`, you can install it with:
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```bash
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conda install numpy
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```
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or with:
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```bash
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conda install -c conda-forge numpy
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```
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## pip
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If you use `pip`, you can install it with:
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```bash
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pip install numpy
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```
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If your Python came with your operating system, we advise you either install a separate Python or use:
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```bash
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pip install numpy --user
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```

‎content/hi/learning.md

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---
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title: Learning
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sidebar: false
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---
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## Resources to learn about NumPy
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### Tutorials
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10+
### Books
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### Online courses
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### Teaching Resources

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