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Brainy Fact


                      You may create a figure with many plots known as subplots side by side sharing either the same x axis or
                      same y axis. Following is the code to create 3 subplots with shared y axis
                      fig, (ax1, ax2, ax3) = plt.subplots(1, 3, sharey=True)




                       SciPy(Scientific Python)


              SciPy is a free, open-source Python library used for scientific and technical computing. It plays a crucial role
              in fields such as physics, engineering, mathematics, biology, and data science. SciPy is built on the NumPy
              extension of Python, which provides support for large, multi-dimensional arrays and matrices, along with a
              collection of high-level mathematical functions to operate on these arrays.

              SciPy  offers  a  wide  range  of  modules  and  submodules  for  scientific  computing.  Some  of  the  key  modules
              include:

                 • scipy.optimize: This module contains functions for solving optimization problems, such as root finding, curve
                fitting, minimization, and linear programming.
                 • scipy.integrate:  It provides  methods for  mathematical  integration,  including  solving ordinary  differential
                equations (ODEs), differential algebraic equations (DAEs), and performing numerical quadrature.
                 • scipy.interpolate:  This module includes functions for  interpolation  and  approximation  techniques,  such as
                splines, B-splines, and radial basis functions.
                 • scipy.linalg: This module focuses on linear algebra operations, such as matrix factorization, solving systems of
                linear equations, eigenvalue problems, and singular value decomposition (SVD).
                 • scipy.signal: It provides functions for signal processing tasks, such as filtering, spectral analysis, convolution,
                correlation, and wavelet transformations.

                 • scipy.stats: This module offers a wide range of statistical distributions, statistical functions, hypothesis testing
                tools, and statistical modeling.

                 • scipy.spatial: It deals with spatial data structures and algorithms, including distance computations, clustering,
                nearest neighbors, and spatial transformations.

                 • scipy.fftpack: This module contains functions for fast Fourier transforms (FFT) and  related  operations  for
                efficient spectral analysis.





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