## NumPy median

The NumPy library has a numpy.median() method is used to compute the median of an array in sorted order on a specified axis and returns the median of the array…

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**NumPy stands for Numerical Python**, a fundamental package for scientific computing in Python.

NumPy is a popular Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms basic linear algebra, basic statistical operations, random simulation and much more.

**Performance-**Python was not designed for numeric computations and there was a need for fast numeric computation. NumPy solved that problem, basically, it was created in the year 2005, and it uses an algorithm written in C language that computes 10-100 times faster performance than Python.**Clean Code –**NumPy reduces loops and iterations, hence it reduces the Cyclomatic complexity**High-Performance N-dimensional Array object –**NumPy’s main object is the homogeneous multidimensional array. We can perform all the operations on the array elements and arrays of NumPy can be single-dimensional or multi-dimensional.

The developers should have a basic understanding of Programming terminologies and basic knowledge of Python would be required.

The NumPy library has a numpy.median() method is used to compute the median of an array in sorted order on a specified axis and returns the median of the array…

There are multiple ways to check NumPy version; however, the easiest and PEP8 standard practice is to import numpy and use the numpy.__version__ attribute to get the exact version details.…

The numpy.ndarray.flatten() in the NumPy array library is used to flatten an array of elements in different orders. The flattening of a NumPy n-dimensional array in python is a procedure to return a copy of an…

The numpy.mean() is a built-in method in the NumPy library that is used to calculate the mean of an array of elements along with an axis. In NumPy array library…

The Python NumPy array library uses the numpy.average() method for computing the weighted average of a NumPy n-dimensional array along the specified axis. The average in linear algebra is the…

The numpy.repeat() method takes the repetitions (int) as an input argument, repeats the elements of an array, and returns an array as output. The repetitions can happen row and column-wise…

The numpy.transpose() method takes the array as an input, reverses its dimension, and returns the transposed array. In simple terms, the NumPy transpose swaps the rows and columns and returns…

The NumPy array library has a built-in method numpy.shape()that will return the shape of the array. The shape of the array is the elements in each dimension. Dimension is the count of…

The numpy.argmax() function returns the indices of the maximum values along an axis. In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence will be returned.…