Course Description

SciPy, articulated as Sigh Pi, is a logical python open source, conveyed under the BSD authorized library to perform Mathematical, Scientific and Engineering Computations.

The SciPy library relies upon NumPy, which gives helpful and quick N-dimensional array control. The SciPy library is worked to work with NumPy array and gives numerous easy to use and productive mathematical practices like schedules for mathematical reconciliation and improvement. Together, they run on all well known working operating systems, rush to introduce and are for nothing. NumPy and SciPy are not difficult to utilize, yet strong enough to rely upon by a portion of the world's leading scientists and engineers.

SciPy is a free and open-source Python library used for scientific computing and technical computing. SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering. NumPy is a general-purpose array-processing package. It provides a high-performance multidimensional array object, and tools for working with these arrays. It is the fundamental package for scientific computing with Python.

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