SciPy : A fully-featured version of Linear Algebra in Python

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SciPy : A fully-featured version of Linear Algebra in Python

SciPy (Science and Python) is a core library in computing by Python, which is used in scientific computing, mathematics, engineering, and technical computing. 

 

SciPy VS Numpy

 

SciPy:

  • SciPy is built on top of the NumPy
  • SciPy is a fully-featured version of Linear Algebra while Numpy contains only a few features.
  • Most new Data Science features are available in Scipy rather than Numpy.

 

Numpy,

  • Numpy is written in C and use for mathematical or numeric calculation.
  • It is faster than other Python Libraries
  • Numpy is the most useful library for Data Science to perform basic calculations.
  • Numpy contains nothing but an array data type which performs the most basic operation like sorting, shaping, indexing, etc.

 

Sub-packages of SciPy,

Every library like scipy for each goal or field has a series of featured functions. In the case of scipy:

 

Fast Fourier transforms – scipy.fftpack by Python

 

 

 

 

Know more: Numpy : The linear algebra library in Python for data science

 

 

References:

  1. www.guru99.com
By |2020-11-17T19:38:18+03:3017th November, 2020|Categories: DS knowledge, Python knowledge|Tags: , , |0 Comments

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