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Fast vectorization and indexing that outperform standard Python loops.
In almost every tutorial or professional codebase, you will see import numpy as np . This is the industry-standard alias. Using np keeps your code concise and makes it instantly readable to other developers. Python Numpy Tutorial Load NP - Descargado
by checking the version in your Python shell: import numpy as np print(np.__version__) Use code with caution. Copied to clipboard Why do we call it "np"? NP - Descargado
