Fix links

content/en/case-studies/cricket-analytics.md

@@ -60,7 +60,7 @@ metrics for improving match winning chances:
            caption="**Cricket Pitch, the focal point in the field**"
            alt="A cricket pitch with bowler and batsmen"
            align="middle"
-           attr="*(Image Credits: Debarghya Das)*"
+           attr="*(Image credit: Debarghya Das)*"
            attrlink="http://debarghyadas.com/files/IPLpaper.pdf" >}}
 
 ### Key Data Analytics Objectives
@@ -80,7 +80,7 @@ metrics for improving match winning chances:
            class="fig-center"
            alt="pose estimator"
            caption="**Cricket Pose Estimator**"
-           attr="*(Image Credits: connect.vin)*"
+           attr="*(Image credit: connect.vin)*"
            attrlink="https://connect.vin/2019/05/ai-for-cricket-batsman-pose-analysis/" >}}
 
 ### The Challenges

content/en/community.md

@@ -3,7 +3,7 @@ title: Community
 sidebar: false
 ---
 
-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.
+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.
 
 We offer several communication channels to learn, share your knowledge and connect with others within the NumPy community.
 

content/en/contribute.md

@@ -33,7 +33,7 @@ We also have a bi-weekly _community call_, the details of which are announced on
 
 ### Developing educational materials
 
-NumPy's [User Guide](https://numpy.org/devdocs/user) can use a lot of help -
+NumPy's [User Guide](https://numpy.org/devdocs) can use a lot of help -
 restructuring the contents, clearer (and more) tutorials, how-to's on many
 topics, and focused explanations of concepts. We are in the process of writing
 up a comprehensive plan for a documentation overhaul, but already have concrete

content/en/learn.md

@@ -15,14 +15,14 @@ There is tons of information about NumPy out there. If you are new to NumPy, we'
 <i class="fad fa-chalkboard"></i> **Tutorials**
 
 * [NumPy Quickstart Tutorial](https://numpy.org/devdocs/user/quickstart.html)
-* [SciPy Lectures](https://www.scipy-lectures.org/) Besides covering NumPy, these lectures offer a broader introduction to the scientific Python ecosystem.
+* [SciPy Lectures](https://scipy-lectures.org/) Besides covering NumPy, these lectures offer a broader introduction to the scientific Python ecosystem.
 * [Towards Data Science, an introduction to NumPy *by Anne Bonner*](https://towardsdatascience.com/the-ultimate-beginners-guide-to-numpy-f5a2f99aef54)
 * [Machine Learning Plus - Introduction to ndarray](https://www.machinelearningplus.com/python/numpy-tutorial-part1-array-python-examples/)
 * [Edureka - Learn NumPy Arrays with Examples ](https://www.edureka.co/blog/python-numpy-tutorial/)
 * [Dataquest - NumPy Tutorial: Data Analysis with Python](https://www.dataquest.io/blog/numpy-tutorial-python/)
 * [NumPy tutorial *by Nicolas Rougier*](https://github.com/rougier/numpy-tutorial)
 * [Stanford CS231 *by Justin Johnson*](http://cs231n.github.io/python-numpy-tutorial/)
-* [NumPy User Guide](https://numpy.org/devdocs/user/index.html)
+* [NumPy User Guide](https://numpy.org/devdocs)
 
 <i class="fas fa-books"></i> **Books**