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Questions and Answers
What are some useful string methods in Python and provide an example of one?
What are some useful string methods in Python and provide an example of one?
Some useful string methods include upper(), lower(), and replace(). For example, 'hello'.upper() returns 'HELLO'.
Explain what it means for lists in Python to be mutable.
Explain what it means for lists in Python to be mutable.
Lists in Python are mutable because they can be changed after their creation, allowing items to be added, removed, or altered. For example, my_list[0] = 10 changes the first element of the list.
What are variable-length argument tuples in Python, and provide an example?
What are variable-length argument tuples in Python, and provide an example?
Variable-length argument tuples allow a function to accept an arbitrary number of arguments using *args. For instance, def func(*args): return sum(args) lets func(1, 2, 3) return 6.
What is operator overloading in Python, and how is it implemented?
What is operator overloading in Python, and how is it implemented?
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Briefly explain data encapsulation in Python and its importance.
Briefly explain data encapsulation in Python and its importance.
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What is the purpose of debugging in programming?
What is the purpose of debugging in programming?
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Can you explain type conversion in Python with an example?
Can you explain type conversion in Python with an example?
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What is a logical operator in Python? Provide an example.
What is a logical operator in Python? Provide an example.
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Define recursion in the context of programming.
Define recursion in the context of programming.
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What are lists in Python?
What are lists in Python?
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Describe the pickle module in Python.
Describe the pickle module in Python.
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What is the significance of the __init__ method in Python?
What is the significance of the __init__ method in Python?
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Study Notes
PYTHON Examination - Optional Paper 2
- Time: Three Hours
- Maximum Marks: 80
- Instructions: Draw diagrams where necessary. All questions are compulsory.
PART A - 2 Marks Each Question
- Q1(a): Debugging: A process of identifying and fixing errors in a computer program.
- Q1(b): Type Conversion: Changing a variable's data type to another (e.g., integer to string). Example: Converting an integer to a string.
-
Q1(c): Logical Operators (Python): Used to combine or modify boolean expressions. Example:
and,or,not. - Q1(d): Recursion: A function calling itself within its own definition.
- Q1(e): Lists (Python): Ordered, mutable sequences of items.
- Q1(f): Tuples (Python): Ordered, immutable sequences of items.
- Q1(g): pickle module: A module used for serializing and deserializing Python objects.
- Q1(h): init method: A special method in Python classes used for object initialization.
PART B - 3 Marks Each Question
- Q2(a): Variables (Python): Named storage locations for data, with a specified data type. Example: x = 10 (x is a variable, and 10 is its value).
- Q2(b): Function Need: Functions are used to organize code into reusable blocks and enhance code maintainability.
- Q2(c): Infinite Recursion: A recursive function that never terminates due to a missing or incorrect base case or return condition.
-
Q2(d): Break Statement: Allows to immediately exit a loop (e.g.,
for,while). -
Q2(e): Dictionaries (Python): Unordered collections of key-value pairs. Example:
my_dict = {"name": "Alice", "age": 30}. - Q2(f): Aliasing: Creating multiple variables that refer to the same object in memory. Example: Creating a copy of a list and modifying that copy in one part of the code, and seeing the changes reflected in the other part using a different variable of the same list.
- Q2(g): Mutability of Objects: A property determining if an object's value can be changed after creation.
- Q2(h): Polymorphism in Python: Allows objects of different classes to be treated broadly using the same interface by having methods with similar names. Example: a subclass can override its parent classes method using the same name.
PART C - 5 or 10 Marks Each Question
- Q3(A): Math Functions (Python): A set of built-in functions in the math module.
- Q3(B): Variables (Python): Python uses different data types and assigning values to variables.
- Q3(C): Parameters and Arguments (Python): In a function, parameters are defined when the function is created, and arguments are passed to a function when it's called.
- Q4 (A): Recursion (Python):
- Q4(B): While Statement (Python): Used to repeatedly execute a block of code as long as a condition is true.
- Q4(C): Strings (Python): Immutable sequences of characters.
- Q5(A): Lists (Python) - Mutability
- Q5(B): Variable-Length Argument Tuples (Python): Tuples that can accept a varying number of arguments during a function call.
- Q5(C): Looping and Dictionaries:
- Q5(C): Dictionaries and Lists and Examples.
- Q6 (A): Operator Overloading: Operators can be given meaning when used with Python objects of a user-defined class.
- Q6 (B): Pickling (Python): Serializing and deserializing Python objects to and from a file.
- Q6 (B): Pipes (OS): A pipe is a unidirectional communication channel between two processes.
- Q6(C): Inheritance in object-oriented programming: A mechanism that lets new classes reuse the properties of existing ones.
- Q6(C): Data Encapsulation: It puts data and methods that use the data into a class and blocks direct access to the data from outside of the class (using private variables).
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Description
Test your knowledge with this Python Examination, covering various essential concepts such as debugging, type conversion, and logical operators. This quiz is designed to assess your understanding and application of Python programming fundamentals. Prepare to tackle a range of problems and demonstrate your coding skills.
