NumPy provides multiple functions like ones(), zeros(), arange(), and linspace() for creating arrays with different characteristics and dimensions. These functions enable easy array generation with sp
ecific data types and random number capabilities.
Reasons to Read -- Learn:
how to efficiently create NumPy arrays using built-in functions instead of manual conversion from Python lists
different array generation techniques like uniform and normal distributions for random number generation
how to reshape arrays and manipulate their dimensions while maintaining data integrity
15 min readauthor: Oindrila Chakraborty
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