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The simplest form of encryption is symmetric key encryption. This kind of encryption is also called private key encryption. With symmetric-key encryption, a single secret key can both lock the information and unlock the information.Symmetric key encryption is mainly interesting in two situations −Private encryption of data − The user encrypts data with a private key that the user does not reveal to anyone else. If the key is a good one, no one else can decrypt the data.Private encryption of data can have several uses in the data warehouse. Any data that is especially sensitive could be so encrypted. ... Read More
The directory server is a type of data warehouse of resources accessible on the related network. Resources such as database devices, individual databases, file repositories, transaction systems, file storage areas, printers, and people.The people descriptions include names and addresses, organization roles, e-mail addresses, and more. The directory server reveals selected items of information to legitimate, authenticated requesters. It is meant to be a useful, centralized, controlling resource for finding out how to communicate on the associated network.Many vendors have agreed on the LDAP standard for communicating with a directory server, and, thus, implicitly for implementing a directory server. The term ... Read More
To join a sequence of arrays, use the numpy.stack() method in Python Numpy. The axis parameter specifies the index of the new axis in the dimensions of the result. If axis=0 it will be the first dimension and if axis=-1 it will be the last dimension.The function returns the stacked array has one more dimension than the input arrays. The axis parameter specifies the index of the new axis in the dimensions of the result. For example, if axis=0 it will be the first dimension and if axis=-1 it will be the last dimension.The out parameter, if provided, the destination ... Read More
To create a recarray from a list of records in text form, use the numpy.core.records.fromrecords() method in Python Numpy. The names is set using the "names" parameter. The field names, either specified as a comma-separated string in the form 'col1, col2, col3', or as a list or tuple of strings in the form ['col1', 'col2', 'col3']. An empty list can be used, in that case default field names (‘f0’, ‘f1’, …) are used. The datatype is set using the "dtype" parameter.The first parameter is the data in the same field may be heterogeneous - they will be promoted to the ... Read More
To return evenly spaced numbers on a log scale, use the numpy.logspace() method in Python Numpy. The 1st parameter is the "start" i.e. the start of the sequence. The 2nd parameter is the "end" i.e. the end of the sequence.In linear space, the sequence starts at base ** start (base to the power of start) and ends with base ** stop (see endpoint below). The start is the base ** start is the starting value of the sequence. The stop is the base ** stop is the final value of the sequence, unless endpoint is False. In that case, num ... Read More
Create an array with int elements using the numpy.arange() method. The 1st parameter is the "start" i.e. the start of the interval. The 2nd parameter is the "end" i.e. the end of the interval. The 3rd parameter is the step size i.e. the spacing between values. The default step size is 2 here.Values are generated within the half-open interval [start, stop). For integer arguments the function is equivalent to the Python built-in range function, but returns an ndarray rather than a list.The stop is the end of interval. The interval does not include this value, except in some cases where ... Read More
Create an array with int elements using the numpy.arange() method. The 1st parameter is the "start" i.e. the start of the interval. The 2nd parameter is the "end" i.e. the end of the interval. The 3rd parameter is the spacing between values. The default step size is 1.Values are generated within the half-open interval [start, stop). For integer arguments the function is equivalent to the Python built-in range function, but returns an ndarray rather than a list.The stop is the end of interval. The interval does not include this value, except in some cases where step is not an integer ... Read More
To create a record array from binary data, use the numpy.core.records.fromstring() method in Python Numpy. We have used the tobytes() method for binary data.The first parameter is the datastring i.e. the buffer of binary data. The function returns the record array view into the data in datastring. This will be readonly if datastring is readonly. The offset parameter is the position in the buffer to start reading from. The formats, names, titles, aligned, byteorder parameters, if dtype is None, these arguments are passed to numpy.format_parser to construct a dtype.StepsAt first, import the required library −import numpy as npSet the array type ... Read More
To create a recarray from a list of records in text form, use the numpy.core.records.fromrecords() method in Python Numpy. The names is set using the "names" parameter. The field names, either specified as a comma-separated string in the form 'col1, col2, col3', or as a list or tuple of strings in the form ['col1', 'col2', 'col3']. An empty list can be used, in that case default field names (‘f0’, ‘f1’, …) are used.The first parameter is the data in the same field may be heterogeneous - they will be promoted to the highest data type. The dtype is the valid ... Read More
To create a recarray from a list of records in text form, use the numpy.core.records.fromrecords() method in Python Numpy. The names is set using the "names" parameter. The field names, either specified as a comma-separated string in the form 'col1, col2, col3', or as a list or tuple of strings in the form ['col1', 'col2', 'col3']. An empty list can be used, in that case default field names (‘f0’, ‘f1’, …) are used.The first parameter is the data in the same field may be heterogeneous - they will be promoted to the highest data type. The dtype is the valid ... Read More