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matrix-computations

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It includes the basic and advance numpy array manipulations. The topics like indexing, slicing, fast element array-wise functions, mathematical and statistical methods, filing, linear algebra functions, pseudo-random numbers, reshaping, splitting, concatenating,tiles, repeating, where( ) function & numpy advanced array manipulation are implemented.

  • Updated Apr 21, 2020
  • Jupyter Notebook

Here’s a project for devoted matrix enthusiasts: learn to perform a variety of operations on matrices including addition, multiplication, finding the determinant, and dealing with inverse matrices. If you are working on your tech or math major, this project is a good chance for you to learn matrices in action and not just in your notebook.

  • Updated Jul 5, 2020
  • Java

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