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Creating NumPy Arrays
- ▸NumPy arrays are faster than Python lists for numerical ops
- ▸Use np.array() to create from a Python list
- ▸np.zeros(), np.ones(), np.arange() for quick creation
- ▸Shape and dtype control memory layout
NumPy arrays are the backbone of scientific computing in Python. Unlike regular Python lists, they store data in contiguous memory blocks, making operations dramatically faster...
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