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In Numpy, the right_shift() function is mainly used to perform the right shift operation. Syntax of numpy.right_shift(): The syntax required to use this function is as follows: As the internal representation of numbers is mainly in the binary format, thus right shift operation is equivalent to dividing x1 by 2**x2. Parameters: Let us now take a lookContinue Reading

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In Numpy, the left_shift() function is mainly used to perform the left shift operation. Syntax of numpy.left_shift(): The syntax required to use this function is as follows: As the internal representation of numbers is mainly in the binary format, thus left shift operation is equivalent to multiplying x1 by 2**x2. With the help ofContinue Reading

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The function numpy.matlib.zeros() is used to return the matrix of given shape and type. This method filled the matrix with zeros. The numpy.matlib is a matrix library used to configure matrices instead of ndarray objects. Syntax of matlib.zeros(): The required syntax to use this function is as follows: Parameters: Let us now cover the parameters used withContinue Reading

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The function numpy.matlib.ones() is used to return the matrix of given shape and type. This function initializes all the values of the matrix to one(1). The numpy.matlib is a matrix library used to configure matrices instead of ndarray objects. Syntax of matlib.ones(): The required syntax to use this function is as follows: Parameters: Let us nowContinue Reading

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The numpy.matlib.empty() function is used to return a new matrix having uninitialized entries. The numpy.matlib is a matrix library used to configure matrices instead of ndarray objects. Syntax of matlib.empty(): The required syntax to use this function is as follows: Parameters: Let us now cover the parameters used with this function: Returned Values: This function mainly returnsContinue Reading

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The numpy.matlib.rand() function is used to generate a matrix where all the entries are initialized with some random values. The numpy.matlib is a matrix library used to configure matrices instead of ndarray objects. This function helps to create a matrix of a given shape and filled with random value in the range [0, 1). Hence, we can use this methodContinue Reading

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The numpy.matlib.identity() function is used to return an identity matrix of the given size. Let us understand the concept of identity matrix first. An Identity matrix is a matrix with all the diagonal elements initialized to 1 and rest all other elements to zero. Syntax of matlib.identity(): The required syntax to use this function is as follows: Parameters: LetContinue Reading

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The numpy.matlib.eye() function is used to return a matrix with all the diagonal elements initialized to 1 and with zero value elsewhere. The numpy.matlib is a matrix library used to configure matrices instead of ndarray objects. Syntax of matlib.eye(): The required syntax to use this function is as follows: Parameters: Let us now cover the parameters used with this function: Returned Values: This method willContinue Reading

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In numpy.std() function “std” stands for standard deviation. Let us first tell you what is standard deviation mean and then we will cover this method. What is Standard Deviation? The standard deviation is basically a measure of the amount of variation or dispersion of the set of values. It is also known as the square root of the averageContinue Reading

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Syntax of numpy.mean(): The syntax required to use this function is as follows: Parameters: Below we have the description of Parameters used by this Function: Returned Values: This function mainly returns the arithmetic mean of the array (it will return a scalar value if the axis is none) or an arrayContinue Reading