Good Day Everyone in the Mailing List, This message is sent to the mailing list to get valuable insights from everyone present here on whether to write the Draft for a Numpy-Tutorial. I was going through the type of contributions that are required by the community Discussed in - https://numpy.org/neps/nep-0044-restructuring-numpy-docs.html and Numpy Tutorials was one of them. Seeing this, In the past, I had worked on Classifying a fruit such as("apple" "mango") based on specific given characteristics using a scratch implementation of KNN. KNN as an algorithm I feel is relatively simple to learn. Do let me know If I could start working towards this tutorial and It's something that could add value to the tutorials and the community. I also made a .ipynb notebook to refer to what Implementation would be covered in the tutorial. (Note - It is pretty raw, the actual tutorial will be much more thorough. This is to give a general Idea) Link - https://github.com/bhavukkalra/Genetic_Algorithms/blob/main/AI_assign2/KNN.i... Regards, Bhavuk Kalra