SciPy course

SciPy Is an open source Python Algorithm library and math toolkit .

Scipy Is based on Numpy Scientific Computing Library , Used in mathematics 、 science 、 Engineering and other fields , Many have some high-level abstractions and physical models to use Scipy.

SciPy The modules included are optimized 、 Linear algebra 、 Integral 、 interpolation 、 Special functions 、 Fast Fourier transform 、 Signal processing and image processing 、 Ordinary differential equation solving and other calculations commonly used in science and Engineering .


Before learning this tutorial, you need to know

I'm learning SciPy Before the tutorial , We need to have basic Python Basics , If you are right Python I don't know yet , You can read our tutorial :


SciPy application

Scipy Is a for Mathematics 、 science 、 Common software packages in engineering field , Can handle optimization 、 Linear algebra 、 Integral 、 interpolation 、 fitting 、 Special functions 、 Fast Fourier transform 、 Signal processing 、 Image processing 、 Ordinary differential equation solver, etc . .

SciPy The modules included are optimized 、 Linear algebra 、 Integral 、 interpolation 、 Special functions 、 Fast Fourier transform 、 Signal processing and image processing 、 Ordinary differential equation solving and other calculations commonly used in science and Engineering .

NumPy and SciPy Collaborative work can solve many problems efficiently , In Astronomy 、 biology 、 Meteorology and climate science , And materials science have been widely used .


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