Scipy
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Scipy: A Comprehensive Scientific Computation Library, Assignments of Mathematics
Scipy is an open-source Python library used for scientific computing that offers various sub-packages for solving common scientific issues. It is known for its ease of use, fast computational power, and ability to operate on NumPy arrays. Scipy contains sub-packages such as constants, cluster, fftpack, integrate, interpolate, io, lib, linalg, misc, ndimage, optimize, signal, sparse, spatial, special, and weave. These sub-packages provide functionalities for physical constants and conversion factors, hierarchical clustering, Discrete Fourier Transform algorithms, numerical integration routines, interpolation tools, data input and output, Python wrappers to external libraries, linear algebra routines, miscellaneous utilities, various functions for multi-dimensional image processing, optimization algorithms including linear programming, signal processing tools, sparse matrix and related algorithms, KD-trees, nearest neighbors, distance functions, and special functions.
Typology: Assignments
2019/2020
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Scipy
Why use scipy?
Contain various sub-packages which can be used to solve
common issues related to scientific computation
Easy to use and understand as well as fast computational
power
It can operate on an array of NumPy library
SciPy is the most used Scientific library only second to
GNU Scientific Library for C/C++ or Matlab's
What sub packages Scipy uses?
Scipy uses sub packages such as:
constants : physical constants and conversion factors
cluster : hierarchical clustering, vector quantization, K-means
fftpack : Discrete Fourier Transform algorithms
integrate : numerical integration routines
interpolate : interpolation tools
io : data input and output
lib : Python wrappers to external libraries
linalg : linear algebra routines
misc : miscellaneous utilities (e.g. image reading/writing)
What sub packages Scipy uses?
Scipy uses sub packages such as:
- ndimage : various functions for multi-dimensional image
processing
- optimize : optimization algorithms including linear programming
- signal : signal processing tools
- sparse : sparse matrix and related algorithms
- spatial : KD-trees, nearest neighbors, distance functions
- special : special functions
- stats : statistical functions
- weave : tool for writing C/C++ code as Python multiline strings
Where Scipy is used?
2) Special Function package
- scipy.special package contains numerous functions of mathematical physics.
- SciPy special function includes:
Exponential
Linear Algebra with SciPy
Permutation and Combinations
Discrete Fourier Transform – scipy.fftpack
Optimization and Fit in SciPy – scipy.optimize
Nelder –Mead Algorithm
Image Processing with SciPy – scipy.ndimage
Integration with Scipy – Numerical Integration