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DOC: Fix links
Fixed 7 of 8 broken links in issue numpy#232. The remaining link is a photo credit to a site that no longer exists. I tried to find an alternate or updated source for the photo, but could find no references to the site and could not find the photo in Google images. I left the link, since we didn't break it. On that page fixed 'credit' to be consistenly lowercase and to be singular in the case of a single image. closes #numpygh-232
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content/en/case-studies/cricket-analytics.md

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caption="**Cricket Pitch, the focal point in the field**"
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alt="A cricket pitch with bowler and batsmen"
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align="middle"
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attr="*(Image Credits: Debarghya Das)*"
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attr="*(Image credit: Debarghya Das)*"
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attrlink="http://debarghyadas.com/files/IPLpaper.pdf" >}}
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### Key Data Analytics Objectives
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class="fig-center"
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alt="pose estimator"
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caption="**Cricket Pose Estimator**"
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attr="*(Image Credits: connect.vin)*"
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attr="*(Image credit: connect.vin)*"
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attrlink="https://connect.vin/2019/05/ai-for-cricket-batsman-pose-analysis/" >}}
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### The Challenges

content/en/community.md

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NumPy is a community-driven open source project developed by a very diverse group of [contributors](/team). The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the [NumPy Code of Conduct](/code-of-conduct) for guidance on how to interact with others in a way that makes the community thrive.
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NumPy is a community-driven open source project developed by a very diverse group of [contributors](/gallery/team.html). The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the [NumPy Code of Conduct](/code-of-conduct) for guidance on how to interact with others in a way that makes the community thrive.
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We offer several communication channels to learn, share your knowledge and connect with others within the NumPy community.
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content/en/contribute.md

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### Developing educational materials
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NumPy's [User Guide](https://numpy.org/devdocs/user) can use a lot of help -
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NumPy's [User Guide](https://numpy.org/devdocs) can use a lot of help -
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restructuring the contents, clearer (and more) tutorials, how-to's on many
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topics, and focused explanations of concepts. We are in the process of writing
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up a comprehensive plan for a documentation overhaul, but already have concrete

content/en/learn.md

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<i class="fad fa-chalkboard"></i> **Tutorials**
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* [NumPy Quickstart Tutorial](https://numpy.org/devdocs/user/quickstart.html)
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* [SciPy Lectures](https://www.scipy-lectures.org/) Besides covering NumPy, these lectures offer a broader introduction to the scientific Python ecosystem.
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* [SciPy Lectures](https://scipy-lectures.org/) Besides covering NumPy, these lectures offer a broader introduction to the scientific Python ecosystem.
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* [Towards Data Science, an introduction to NumPy *by Anne Bonner*](https://towardsdatascience.com/the-ultimate-beginners-guide-to-numpy-f5a2f99aef54)
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* [Machine Learning Plus - Introduction to ndarray](https://www.machinelearningplus.com/python/numpy-tutorial-part1-array-python-examples/)
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* [Edureka - Learn NumPy Arrays with Examples ](https://www.edureka.co/blog/python-numpy-tutorial/)
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* [Dataquest - NumPy Tutorial: Data Analysis with Python](https://www.dataquest.io/blog/numpy-tutorial-python/)
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* [NumPy tutorial *by Nicolas Rougier*](https://github.com/rougier/numpy-tutorial)
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* [Stanford CS231 *by Justin Johnson*](http://cs231n.github.io/python-numpy-tutorial/)
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* [NumPy User Guide](https://numpy.org/devdocs/user/index.html)
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* [NumPy User Guide](https://numpy.org/devdocs)
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<i class="fas fa-books"></i> **Books**
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