> from scipy import signal #Replace ‘signal’ with the name of other sub-modules ![]() Since NumPy is required for most of these sub-modules, this is how standard SciPy modules are imported: > import numpy as np A concise list of SciPy sub-modules is shown below: SciPy library is composed of sub-modules designed for specific tasks. SciPy works efficiently on NumPy arrays and is standard scientific computing library in Python. ![]() It contains submodules for applications like Integration, Interpolation, Image Processing, Optimization, Special Functions and Statistics, etc. The objective of this tutorial is to give a brief idea about the usage of SciPy library for scientific computing problems in Python. The SciPy library has several toolboxes to solve common scientific computing problems. ![]() This tutorial is an introduction SciPy library and its various functions and utilities.
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