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How to create a numpy.array from a list of floats with shared-memory with version 2.1.3

  • NumPy arrays can be created from various sources, including Python lists, tuples, and even existing arrays.
  • Direct creation using np.array() is the most straightforward method, but other functions like np.zeros(), np.ones(), and np.arange() offer specialized array generation capabilities.
  • NumPy arrays provide efficient data handling, manipulation, and operations such as arithmetic, element-wise operations, matrix operations, and reshaping.
  • NumPy's broadcasting mechanism simplifies operations between arrays of different shapes, eliminating the need for explicit loops and leading to significant performance gains.

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