NumPy Library

  1. Array Creation Techniques
    1. Creating Arrays from Existing Data
      1. Using np.array()
        1. From Lists
          1. From Tuples
            1. From Nested Sequences
              1. Copy vs. Reference Behavior
              2. Using np.asarray()
                1. Using np.asanyarray()
                2. Intrinsic Creation Functions
                  1. Range-based Creation
                    1. np.arange()
                      1. np.linspace()
                        1. np.logspace()
                          1. np.geomspace()
                          2. Constant Value Arrays
                            1. np.zeros()
                              1. np.zeros_like()
                                1. np.ones()
                                  1. np.ones_like()
                                    1. np.full()
                                      1. np.full_like()
                                        1. np.empty()
                                          1. np.empty_like()
                                        2. Special Matrix Creation
                                          1. Identity and Diagonal Matrices
                                            1. np.eye()
                                              1. np.identity()
                                                1. np.diag()
                                                2. Triangular Matrices
                                                  1. np.tri()
                                                    1. np.tril()
                                                      1. np.triu()
                                                    2. Random Array Creation
                                                      1. Basic Random Arrays
                                                        1. Seeded Random Generation
                                                          1. Random Sampling from Distributions

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                                                        3. Data Types in NumPy

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                                                        5. Indexing and Slicing