Answer:
new_segment = [ ]
for segment in segments:
new_segment.append({'name': segment, 'average_spend': money})
print( new_segment)
Using list comprehension:
new_segment =[{'name': segment, 'average_spend': money} for segment in segments]
Using map():
def listing(a):
contain = {'name': segment, 'average_spend': money}
return contain
new_segment = [ ]
new_segment.append(map( listing, segment))
print(list(new_segment)
Explanation:
The python codes above create a list of dictionaries in all instances using for loop, for loop in list comprehension and the map function which collect two arguments .
Answer:
B. Symmetric key encryption
Explanation:
Symmetric key encryption is one in which a single encryption key is sent to the receiver so both sender and receiver share the same key. In this type of encryption, the sender uses a particular key to encrypt the data and sends the encrypted data (cipher data) to the receiver and then the receiver uses the same key to decrypt the data.
Public key encryption, or asymmetric encryption uses two keys - a private key and a public key. The public key is know to everyone while the private key is known only to those for whom the message is intended. An application of this type of encryption is in SSL (Secure Sockets Layer) - a protocol for transmitting data privately on the internet.
Private key encryption is not exactly one of the encryption methods but rather, a private key and a public key are used in encryption.
The best option is therefore <em>symmetric key encryption</em>.
<em>Hope this helps!</em>
Answer:
The correct answer is Multi-dimensional.
Explanation:
This database is optimized for online analytical processing and data warehousing (OLAP) applications. Multidimensional databases are often created using existing relational database records. While a relational database can be accessed through a Structured Query Language (SQL) query, a multi-dimensional database allows the user to ask questions like: "How many additives were sold in Nebraska in a year?" and similar issues related to the synthesis of operations and business trends. An OLAP application that accesses data from a multidimensional database is called a MOLAP application (Multidimensional OLAP).
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Answer:
Explanation:
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