2) Convert the following function to lambda expression def toUpper (sentance): 1st=[] for ch in sentance: 1st.append(ch.upper ()) return 1st print(toUpper ('welcome to csc605')) ['W', 'E', 'L', 'C', '0', 'M', 'E', '6', '0', '5'] ', 'T', '0', ', 'C', 'S', 'C',
2) Convert the following function to lambda expression def toUpper (sentance): 1st=[] for ch in sentance: 1st.append(ch.upper ()) return 1st print(toUpper ('welcome to csc605')) ['W', 'E', 'L', 'C', '0', 'M', 'E', '6', '0', '5'] ', 'T', '0', ', 'C', 'S', 'C',
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![2) Convert the following function to lambda expression
In [16]: def toUpper (sentance):
1st=[]
for ch in sentance:
1st.append (ch.upper ())
return 1st
print(toUpper('welcome to csc605'))
['W', 'E', 'L', 'C', '0', 'M', 'E',
'6', '0', '5']
'T', '0',
, "с", 'S', "",
In [ ]: ## write your code here
3) Write a function called sample that must work similar to random.sample in random package
Syntax : random.sample(sequence, k)
Parameters: sequence: Can be a list, tuple, string, or set. k: An Integer value, it specify the length of a
sample.
Returns: k length new list of elements chosen from the sequence.
In [17]: ## write your code here
4) Write a function called divide_dataset_into_training_and_testing as shown below that aims to split the
dataset into training and testing. It must contain arugment called training_size that meet
following:
• If training_size is float, should be between 0.0 and 1.0 and represent the proportion of the dataset to
include in the train split. If int, represents the absolute number of train examples.
In [4]: def Divide_dataset_into_training_and_testing (dataset_X, Dataset_y, training_si
ze ):
### write your code here
return X_train, y_train, X_test, y_test](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2d926115-186b-4eb0-9fd9-8ead03810a8a%2F78c313c1-fda5-4003-bf50-42187275c003%2F2y5c55m_processed.jpeg&w=3840&q=75)
Transcribed Image Text:2) Convert the following function to lambda expression
In [16]: def toUpper (sentance):
1st=[]
for ch in sentance:
1st.append (ch.upper ())
return 1st
print(toUpper('welcome to csc605'))
['W', 'E', 'L', 'C', '0', 'M', 'E',
'6', '0', '5']
'T', '0',
, "с", 'S', "",
In [ ]: ## write your code here
3) Write a function called sample that must work similar to random.sample in random package
Syntax : random.sample(sequence, k)
Parameters: sequence: Can be a list, tuple, string, or set. k: An Integer value, it specify the length of a
sample.
Returns: k length new list of elements chosen from the sequence.
In [17]: ## write your code here
4) Write a function called divide_dataset_into_training_and_testing as shown below that aims to split the
dataset into training and testing. It must contain arugment called training_size that meet
following:
• If training_size is float, should be between 0.0 and 1.0 and represent the proportion of the dataset to
include in the train split. If int, represents the absolute number of train examples.
In [4]: def Divide_dataset_into_training_and_testing (dataset_X, Dataset_y, training_si
ze ):
### write your code here
return X_train, y_train, X_test, y_test
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