Python------SCIPY Module

SCIPY is an advanced module based on NumPy, which has outstanding performance in symbolic computation, signal processing and numerical optimization, and covers most of the scientific computing fields.

Sub-module name	Description of Use
Scipy.cluster	The mainstream clustering algorithm
Scipy.constants	Mathematical and physical constants
Scipy.fftpack	Fast Fourier transform
Scipy.integrate	Solving integral and ordinary differential equations
Scipy.linalg	Linear algebra
Scipy.ndimage	n-dimensional image processing
Scipy.signal	Signal Processing
Scipy.spatial	Spatial data structures and algorithms
Scipy.stats	Statistical distributions and related functions

My understanding of the SciPy module is most important: "Vectorization"----->>> "symbolic calculation" and "function vectorization"

 fromSciPyImportpoly1dPrint "symbolic calculation of ******scipy ******"P=POLY1D ([3,4,5])PrintP#equivalent to 3x^2+4x+5Printp+PPrintP*p#equivalent to 9x^4+24x^3+46x^2+40x+25PrintP ([A])Print "indefinite integral of P (x), specifying a constant of 2"PrintP.integ (k=2) Print "first-order derivative of P (x)"PrintP.deriv (1)#1-order derivative is expressedPrintP.deriv (2)#2-order derivative is expressedPrint "********scipy function vectorization ********"ImportNumPy as NPdefCompare (A, b):ifA>B:returnA-bElse:        returnA +bPrintCompare (10, 3)PrintCompare (4, 16) Vec_compare=np.vectorize (Compare)PrintVec_compare ([10,4,8,26],[3,16,8,7])

Results:

SciPy symbol calculation ****** x   + 4 x + 5 x   + 8 x + 4 3 x + x + + x + x + +      [12 2 5]p (x) indefinite integral, the specified constant is 2   3     x + 2 x + 5 x + 26 x + 4 6********scipy function vectorization ********7207 2 0 16 19]

Python------SCIPY Module