NumPy: Arrays, Data Types & Creation. NumPy is the foundation of the Python scientific computing ecosystem. Its ndarray stores homogeneous data in a contiguous memory block — operations are implemented in C and 10–100× f…
ReadNumPy: Indexing, Slicing & Broadcasting. Basic Indexing & Slicing. a = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9,10,11,12]]) # Element access a[0, 1] # 2 (row 0, col 1) a[-1, -1] # 12 (last row, last col) # Slicing: [star…
ReadNumPy: Math, Linear Algebra & Performance. Universal Functions (ufuncs). a = np.array([1.0, 4.0, 9.0, 16.0]) # Element-wise math (vectorized — no Python loop needed) np.sqrt(a) # [1. 2. 3. 4.] np.square(a) # [1. 16. 81. …
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