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This article introduces the knowledge of "Python is much slower than C language". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

In the field of matrix computing, Python is 100 times slower than C language.

In other words, it takes 1 hour for Python to calculate a 6-minute program in C language.

However, Python can be used in some areas with high performance requirements because the scientific computing base library numpy (for matrix computing) it depends on is implemented in C, and numpy can run on top of GPU for acceleration.

Using Python to achieve deep learning, it is easy to build multi-layer neural networks, but the calculation of forward and back propagation is actually matrix calculation, which depends on the matrix multiplication calculation of numpy GPU with high performance in C language.

This is actually a combination of the ease of use of Python and the high performance of C.

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