AMPERE - a unit of measure for the flow of the current in a circut
Answer:
- def Lambda(strList):
- return list(filter(lambda s: (s.startswith("e")), strList))
-
- print(Lambda(["meaning", "cart", "engine", "egg"]))
Explanation:
The solution code is written in Python 3.
Lambda function is an anonymous function. It is a function without any name and it is started with keyword lambda. To write a lambda function to filter the string started with an 'e', we can write a lambda expression, s.startswith("e") that work on one input strList. If any word from strList started with letter "e", the word will be added into a list generated by filter function. At the end, the Lambda function will return the list of strings as output.
When we test the Lambda function using the sample string list (Line 4), we shall get ['engine', 'egg'] printed to terminal.
Answer:
Name.
Explanation:
The constructor in the class must have the same name as the class.Constructors are used to initialize the object when created.There are basically three types of constructors which are as following:-
- Default Constructor.
- Parameterized Constructor.
- Copy Constructor.
Default Constructor:-This constructor is already present in the class when the class is defined.It does not have any arguments.
Parameterized Constructor:-As the name suggests this constructor have parameters that are used to initialize the object.
Copy Constructor:-This constructor is called whenever an object is copying the values of other object.For example:-
There is already an object present with name obj1.
class obj2=obj1;
The two different uses or applications of data that is biases in word embeddings and may cause significant ethical harms are:
- Class immobility
- Systemic racism
<h3>What are the
biases in word embedding?</h3>
Word embeddings is known to be made up of a high level bias such as group stereotypes and prejudice.
The two different uses or applications of data that is biases in word embeddings and may cause significant ethical harms are:
Class immobility
Learn more about biases from
brainly.com/question/24491228
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