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Update content and config for building
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‎content/zh/_index.md‎

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---
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title: NumPy
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---
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{{< grid columns="1 2 2 3" >}}
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[[item]]
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type = 'card'
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title = '强大的高维数组'
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body = '''
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Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today.
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'''
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[[item]]
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type = 'card'
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title = '数字计算工具'
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body = '''
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NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.
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'''
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[[item]]
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type = 'card'
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title = 'Open source'
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body = '''
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Distributed under a liberal [BSD license](https://github.com/numpy/numpy/blob/main/LICENSE.txt), NumPy is developed and maintained [publicly on GitHub](https://github.com/numpy/numpy) by a vibrant, responsive, and diverse [community](/community).
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'''
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[[item]]
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type = 'card'
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title = 'Interoperable'
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body = '''
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NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.
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'''
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[[item]]
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type = 'card'
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title = 'Performant'
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body = '''
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The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code.
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'''
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[[item]]
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type = 'card'
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title = 'Easy to use'
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body = '''
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NumPy's high level syntax makes it accessible and productive for programmers from any background or experience level.
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'''
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{{< /grid>}}

‎content/zh/config.yaml‎

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params:
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description: 为什么使用 NumPy？它有强大的高维数组、有数字计算工具、互可操作、高性能、开源。
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navbarlogo:
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image: logos/numpy.svg
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image: logo.svg
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text: NumPy
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link: /zh/
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hero:
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#Main hero title
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# Main hero title
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title: NumPy
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#Hero subtitle (optional)
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# Hero subtitle (optional)
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subtitle: 使用 Python 进行科学计算的基本包
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#Button text
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# Button text
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buttontext: 入门
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#Where the main hero button links to
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# Where the main hero button links to
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buttonlink: "/zh/install"
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#Hero image (from static/images/___)
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image: logos/numpy.svg
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#Customizable navbar. For a dropdown, add a "sublinks" list.
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news:
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title: 2021 NumPy survey
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content: Your voice matters
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url: /zh/news
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# Hero image (from static/images/___)
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image: logo.svg
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shell:
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title: 占位符
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promptlabel: interactive shell prompt
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button:
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-
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label: Enables the interactive tutorial shell
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text: Enable
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shellcontent:
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intro:
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title: Try NumPy
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text: Enable the interactive shell
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loading:
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title: While we wait...
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text: Launching container on mybinder.org...
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- title: Try NumPy
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text: Use the interactive shell to try NumPy in the browser
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docslink: Don't forget to check out the <a href="https://numpy.org/doc/stable" target="_blank">docs</a>.
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casestudies:
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title: CASE STUDIES
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features:
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title: 第一张黑洞图像
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- title: 第一张黑洞图像
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text: NumPy 是怎么配合 SciPy 和 Matplotlib 等库来让事件视界望远镜（Eht）生成第一张黑洞图像的
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img: /images/content_images/case_studies/blackhole.png
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alttext: 这是黑洞的第一张图像。它是黑色背景上衬着的一个橙色圆环。
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url: /zh/case-studies/blackhole-image
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title: 引力波探测
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- title: 引力波探测
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text: 在1916年，阿尔伯特·爱因斯坦预测了引力波的存在。100年后，激光干涉引力波天文台（LIGO）的科学家利用 NumPy 证明了引力波的存在。
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img: /images/content_images/case_studies/gravitional.png
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alttext: 两个相互环绕的天体。它们改变了周围的引力。
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url: /zh/case-studies/gw-discov
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title: 运动分析
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- title: 运动分析
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text: Cricket Analytics 正在通过统计模型和预测分析来改进队员的团队的表现，改变体育界。NumPy 让其中很多的分析成为了可能。
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img: /images/content_images/case_studies/sports.jpg
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alttext: 绿色的赛场上的板球。
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url: /zh/case-studies/cricket-analytics
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title: 使用深度学习进行估计
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- title: 使用深度学习进行估计
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text: DeepLabCut 使用 NumPy 来加速进行涉及观察动物行为的科学研究，以便跨物种和时间尺度推动研究发展。
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img: /images/content_images/case_studies/deeplabcut.png
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alttext: Cheetah pose analysis
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url: /zh/case-studies/deeplabcut-dnn
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keyfeatures:
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features:
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-
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title: 强大的高维数组
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text: Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today.
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-
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title: 数字计算工具
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text: NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.
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-
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title: Interoperable
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text: NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.
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-
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title: Performant
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text: The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code.
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-
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title: Easy to use
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text: NumPy's high level syntax makes it accessible and productive for programmers from any background or experience level.
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-
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title: Open source
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text: Distributed under a liberal [BSD license](https://github.com/numpy/numpy/blob/master/LICENSE.txt), NumPy is developed and maintained [publicly on GitHub](https://github.com/numpy/numpy) by a vibrant, responsive, and diverse [community](/community).
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tabs:
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title: ECOSYSTEM
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section5: false
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navbar:
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title: Install
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- title: Install
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url: /zh/install
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title: Documentation
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- title: Documentation
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url: https://numpy.org/doc/stable
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title: Learn
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- title: Learn
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url: /zh/learn
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title: Community
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- title: Community
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url: /zh/community
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-
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title: About Us
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- title: About Us
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url: /zh/about
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-
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title: Contribute
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- title: Contribute
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url: /zh/contribute
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footer:
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logo: numpy.svg
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logo: logo.svg
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socialmediatitle: ""
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socialmedia:
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link: https://github.com/numpy/numpy
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- link: https://github.com/numpy/numpy
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icon: github
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-
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link: https://twitter.com/numpy_team
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icon: twitter
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- link: https://www.youtube.com/@NumPy_team
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icon: youtube
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quicklinks:
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column1:
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title: ""
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links:
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-
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text: Install
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- text: Install
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link: /zh/install
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text: Documentation
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- text: Documentation
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link: https://numpy.org/doc/stable
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-
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text: Learn
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- text: Learn
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link: /zh/learn
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text: Citing NumPy
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- text: Citing NumPy
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link: /zh/citing-numpy
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text: Roadmap
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- text: Roadmap
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link: https://numpy.org/neps/roadmap.html
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column2:
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links:
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text: About us
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- text: About us
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link: /zh/about
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text: Community
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- text: Community
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link: /zh/community
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text: Contribute
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- text: User surveys
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link: /zh/user-surveys
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- text: Contribute
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link: /zh/contribute
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text: Code of conduct
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- text: Code of conduct
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link: /zh/code-of-conduct
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column3:
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links:
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text: Get help
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- text: Get help
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link: /zh/gethelp
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-
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text: Terms of use
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- text: Terms of use
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link: /zh/terms
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text: Privacy
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- text: Privacy
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link: /zh/privacy
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text: Press kit
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- text: Press kit
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link: /press-kit
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