NumPy the fundamental package for scientific computing with Python. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.
NumPy implements powerful n-dimensional arrays. NumPy implements vectorization, indexing, and broadcasting concepts that are the de facto standards of array computing today.
Mathematical Computations:
NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, etc.
Performance and Flexibility od Use:
Numpy implements well-optimized C-code providing high performance along with the flexibility of Python.
Prerequisite:
It is assumed that the reader of the pages is well-versed in Python and has a good understanding of high school Algebra, trigonometry, and high school physics.
NumPy information is available at the link below:
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