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GIVE AT LEAST 1 BASIC EXAMPLE(CODE) WITH EXPLANATION IS GIVEN BELOW: 9 for exception 8 for testing 2 for comprehension EXCEPTION AttributeError: Raised when an

GIVE AT LEAST 1 BASIC EXAMPLE(CODE) WITH EXPLANATION IS GIVEN BELOW:
9 for exception
8 for testing
2 for comprehension

EXCEPTION

AttributeError: Raised when an attribute reference or assignment fails.

ImportError: Raised when an import statement fails.

IndexError: Raised when an index is out of range.

KeyError: Raised when a key is not found in a dictionary.

NameError: Raised when a variable is not defined.

TypeError: Raised when an operation or function is applied to an object of inappropriate type.

ValueError: Raised when a built-in operation or function receives an argument that has the right type but an inappropriate value.

ZeroDivisionError: Raised when the second argument of a division or modulo operation is zero.

SyntaxError: Raised when the Python parser encounters a syntax error.
IndentationError: Raised when there is an indentation error (inconsistent use of tabs and spaces).

 

TESTING:

Unit Testing: This involves testing individual units or components of the code in isolation to verify their functionality. The unittest module in Python provides tools for creating and running unit tests.

Integration Testing: This type of testing involves testing the interactions between different units of the code. Integration testing is performed after unit testing to verify that the different components of the code work together as intended.

Functional Testing: This type of testing involves verifying that the code behaves as expected when used according to its specifications. This includes testing user-facing features and functional requirements.

Regression Testing: This type of testing is performed to ensure that changes made to the code do not break existing functionality.

System Testing: This type of testing involves testing the code in a real-world environment, using realistic test cases and scenarios to simulate actual usage.

Performance Testing: This type of testing involves measuring the performance of the code, such as response time, resource usage, and scalability.

Security Testing: This type of testing involves verifying that the code is secure and does not have any vulnerabilities that could be exploited by malicious actors.

Acceptance Testing: This type of testing involves evaluating the code from the user's perspective to determine if it meets their needs and expectations.

COMPREHENSION

List Comprehensions: A list comprehension is a concise way to create a list. It consists of an expression followed by a for clause and zero or more if clauses. The expression is evaluated for each item in the sequence specified in the for clause, and the resulting values are collected into a new list.

 Dictionary Comprehensions: A dictionary comprehension is similar to a list comprehension, but instead of creating a list, it create s a dictionary. It consists of an expression followed by a for clause and zero or more if clauses, just like a list comprehension.


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