By:
On:
In: Numpy

The dot() function is mainly used to calculate the dot product of two vectors. Syntax of numpy.dot(): The syntax required to use this function is as follows: Parameters: Let us discuss the parameters of this function: Returned Values: The dot() function will return the dot product of a and b. If both a and b are scalars or if both are 1-D arraysContinue Reading

By:
On:
In: Numpy

In Numpy, the bitwise_and() function is mainly used to perform the bitwise_and operation. Let us take a look at the truth table of AND operation: If and only if both the bits are 1 only then the output of the AND result of the two bits is 1 otherwise it will be 0. Syntax of bitwise_and():Continue Reading

By:
On:
In: Numpy

In Numpy, the bitwise_or() function is mainly used to perform the bitwise_or operation. Given below is the truth table of OR operation where you will see the OR result of the two bits is 1 if one of the bits is 1 otherwise the result will be 0. Syntax of bitwise_or(): The syntax required to use thisContinue Reading

By:
On:
In: Numpy

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

By:
On:
In: Numpy

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

By:
On:
In: Numpy

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

By:
On:
In: Numpy

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

By:
On:
In: Numpy

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

By:
On:
In: Numpy

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

By:
On:
In: Numpy

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