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Syntax of numpy.invert(): The syntax required to use this function is as follows: Parameters: Let us now take a look at the parameters of this function: Returned Values: This function will return a scalar if x is scalar. Example 1: In the example below, we will illustrate the usage of the invert() function:Continue Reading

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In Numpy, the bitwise_xor() function is mainly used to perform the bitwise XOR operation. Syntax of numpy.bitwise_xor(): The syntax required to use this function is as follows: Parameters: let us now take a look at the parameters of this function: Returned Values: This function will return a scalar if both x1 and x2 are scalars. Example 1:Continue Reading

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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