config.yaml

languageName: English
params:
  description: Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
  navbarlogo:
    image: logo.svg
    text: NumPy
    link: /
  hero:
    # Main hero title
    title: NumPy
    # Hero subtitle (optional)
    subtitle: The fundamental package for scientific computing with Python
    # Button text
    buttontext: "Latest release: NumPy 2.0. View all releases"
    # Where the main hero button links to
    buttonlink: "/news/#releases"
    # Hero image (from static/images/___)
    image: logo.svg

  shell:
    title: placeholder

    intro:
    - title: Try NumPy
      text: Use the interactive shell to try NumPy in the browser

    docslink: Don't forget to check out the <a href="https://numpy.org/doc/stable" target="_blank">docs</a>.

  casestudies:
    title: CASE STUDIES
    features:
    - title: First Image of a Black Hole
      text: How NumPy, together with libraries like SciPy and Matplotlib that depend on NumPy, enabled the Event Horizon Telescope to produce the first ever image of a black hole
      img: /images/content_images/case_studies/blackhole.png
      alttext: First image of a black hole. It is an orange circle in a black background.
      url: /case-studies/blackhole-image
    - title: Detection of Gravitational Waves
      text: In 1916, Albert Einstein predicted gravitational waves; 100 years later their existence was confirmed by LIGO scientists using NumPy.
      img: /images/content_images/case_studies/gravitional.png
      alttext: Two orbs orbiting each other. They are displacing gravity around them.
      url: /case-studies/gw-discov
    - title: Sports Analytics
      text: Cricket Analytics is changing the game by improving player and team performance through statistical modelling and predictive analytics. NumPy enables many of these analyses.
      img: /images/content_images/case_studies/sports.jpg
      alttext: Cricket ball on green field.
      url: /case-studies/cricket-analytics
    - title: Pose Estimation using deep learning
      text: DeepLabCut uses NumPy for accelerating scientific studies that involve observing animal behavior for better understanding of motor control, across species and timescales.
      img: /images/content_images/case_studies/deeplabcut.png
      alttext:  Cheetah pose analysis
      url: /case-studies/deeplabcut-dnn

  tabs:
    title: ECOSYSTEM

  section5: false

  navbar:
  - title: Install
    url: /install
  - title: Documentation
    url: https://numpy.org/doc/stable
  - title: Learn
    url: /learn
  - title: Community
    url: /community
  - title: About Us
    url: /about
  - title: News
    url: /news
  - title: Contribute
    url: /contribute

  footer:
    logo: logo.svg
    socialmediatitle: ""
    socialmedia:
    - link: https://github.com/numpy/numpy
      icon: github
    - link: https://www.youtube.com/channel/UCguIL9NZ7ybWK5WQ53qbHng
      icon: youtube
    quicklinks:
      column1:
        title: ""
        links:
          - text: Install
            link: /install
          - text: Documentation
            link: https://numpy.org/doc/stable
          - text: Learn
            link: /learn
          - text: Citing Numpy
            link: /citing-numpy
          - text: Roadmap
            link: https://numpy.org/neps/roadmap.html
      column2:
        links:
          - text: About us
            link: /about
          - text: Community
            link: /community
          - text: User surveys
            link: /user-surveys
          - text: Contribute
            link: /contribute
          - text: Code of conduct
            link: /code-of-conduct
      column3:
        links:
          - text: Get help
            link: /gethelp
          - text: Terms of use
            link: /terms
          - text: Privacy
            link: /privacy
          - text: Press kit
            link: /press-kit