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Questions and Answers
What is the primary purpose of using arrays in programming?
What is the primary purpose of using arrays in programming?
- To store values of any data type without any constraints.
- To store multiple values of the same data type in a single variable. (correct)
- To store multiple values of different data types in a single variable.
- To store a single value of the same data type in multiple variables.
Python has a built-in array data type that is directly available without importing any modules.
Python has a built-in array data type that is directly available without importing any modules.
False (B)
What module in Python is used to create arrays?
What module in Python is used to create arrays?
array
Which of the following typecodes is used to represent a signed integer in the Python array module?
Which of the following typecodes is used to represent a signed integer in the Python array module?
To create an array, you use the array.array() constructor, passing a ______ and a list of values.
To create an array, you use the array.array() constructor, passing a ______ and a list of values.
Given the array my_array = array.array('i', [1, 2, 3, 4, 5]), what will print(my_array[2]) output?
Given the array my_array = array.array('i', [1, 2, 3, 4, 5]), what will print(my_array[2]) output?
Explain what array slicing is and provide a general syntax for it.
Explain what array slicing is and provide a general syntax for it.
If my_array = array.array('i', [1, 2, 3, 4, 5]), what elements will be included in the output of my_array[1:4]?
If my_array = array.array('i', [1, 2, 3, 4, 5]), what elements will be included in the output of my_array[1:4]?
In array slicing, the 'step' value determines the ending index of the slice.
In array slicing, the 'step' value determines the ending index of the slice.
In the context of array slicing, the ______ parameter defines the starting index of the slice.
In the context of array slicing, the ______ parameter defines the starting index of the slice.
What is the fundamental characteristic of a recursive function?
What is the fundamental characteristic of a recursive function?
A recursive function must always have a base case to prevent infinite recursion.
A recursive function must always have a base case to prevent infinite recursion.
List the two main components of a recursive function.
List the two main components of a recursive function.
The ______ case in a recursive function is the condition that is solved directly without further recursion.
The ______ case in a recursive function is the condition that is solved directly without further recursion.
In a recursive implementation of the factorial function, what is the base case?
In a recursive implementation of the factorial function, what is the base case?
Anonymous functions in Python are declared using the def keyword followed by a function name.
Anonymous functions in Python are declared using the def keyword followed by a function name.
What keyword is used to define anonymous functions in Python?
What keyword is used to define anonymous functions in Python?
The syntax for an anonymous function in Python is lambda arguments: ______
The syntax for an anonymous function in Python is lambda arguments: ______
What is the characteristic of anonymous functions?
What is the characteristic of anonymous functions?
Match the following array slicing parameters with their descriptions:
Match the following array slicing parameters with their descriptions:
Flashcards
Arrays in Python
Arrays in Python
Data structures that store multiple values of the same data type in a single variable. They useful when you need to store and manipulate a collection of data.
Python Array Module
Python Array Module
A module in Python that allows creating arrays with constraints on data types.
Indexing in Arrays
Indexing in Arrays
Accessing a single element in an array.
Slicing in Arrays
Slicing in Arrays
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Recursion
Recursion
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Base Case (Recursion)
Base Case (Recursion)
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Recursive Case
Recursive Case
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Factorial
Factorial
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Fibonacci Series
Fibonacci Series
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Anonymous Functions (Lambda)
Anonymous Functions (Lambda)
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Study Notes
- Arrays in Python store multiple values of the same data type in a single variable.
- They are useful for storing and manipulating collections of data.
- Python does not have a built-in array data type, the
arraymodule is used to create arrays.
Python Array Module
- The array module helps in creating arrays with constraints on data types.
- Supported data types are:
i: signed integerI: unsigned integerf: floating pointu: Unicode character (deprecated)- To create an array, the syntax is
array.array(typecode, values_list).
Indexing and slicing in arrays
- Indexing allows accessing a single element in an array.
- Syntax is
array_name[index]. - Slicing grants access to a subset of elements in an array.
- Syntax:
array_name[start:stop:step] start: The starting index of the slice.stop: The ending index of the slice.step: The increment between elements in the slice.
Recursion
- Recursion is a programming technique where a function calls itself repeatedly until a base case is reached, stopping the recursion.
- It is useful for solving problems with a recursive structure, like tree or graph traversals and dynamic programming.
- Recursive functions contain:
- Base case: Solves a trivial case directly, which stops recursion.
- Recursive case: Breaks the problem into smaller sub-problems, solving them by calling the function itself.
Recursive Algorithms
- Factorial of a number
n(denoted asn!) is the product of all positive integers less than or equal ton.
Fibonacci Sequence
- The Fibonacci sequence is a series of numbers where each number is the sum of the two preceding numbers, usually starting with 0 and 1.
Anonymous Functions
- Anonymous functions, also known as lambda functions, are small, single-purpose functions defined without a name.
- Syntax in Python:
lambda arguments: expression argumentsis a comma-separated list of variables passed to the function.expressionis the code executed when the function is called.
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