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What is SciPy?SciPy is a scientific computation library that uses NumPy underneath.SciPy stands for Scientific Python.It provides more utility functions for optimization, stats and signal processing.Like NumPy, SciPy is open source so we can use it freely.SciPy was created by NumPy's creator Travis Olliphant.Why Use SciPy?If SciPy uses NumPy underneath, why can we not just use NumPy?SciPy has optimized and added functions that are frequently used in NumPy and Data Science.Which Language is SciPy Written in?SciPy is predominantly written in Python, but a few segments are written in C.
Constants in SciPyAs SciPy is more focused on scientific implementations, it provides many built-in scientific constants.These constants can be helpful when you are working with Data Science.
SciPy Optimizers : Optimizers in SciPyOptimizers are a set of procedures defined in SciPy that either find the minimum value of a function, or the root of an equation.Optimizing FunctionsEssentially, all of the algorithms in Machine Learning are nothing more than a complex equation that needs to be minimized with the help of given data.Roots of an EquationNumPy is capable of finding roots for polynomials and linear equations, but it can not find roots for non linear equations, like this one:x + cos(x) : For that you can use SciPy's optimze.root function.This function takes two required arguments:fun - a function representing an equation.x0 - an iniThe function returns an object with information regarding the solution.The actual solution is given under attribute x of the returned object:
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