Arrays in Python
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Questions and Answers

What is the primary purpose of using an array in Python?

  • To execute functions more efficiently
  • To enhance code readability
  • To store multiple values using a single variable (correct)
  • To create a more complex data structure

Which of the following correctly describes the memory allocation of arrays in Python?

  • Memory allocation depends on the number of dimensions
  • Memory is allocated randomly for each element
  • Memory is allocated only when needed
  • Memory is allocated sequentially for all elements (correct)

What is the correct syntax for creating an array in Python?

  • Array_Name = array.array('Type_Code', Element_List)
  • Array_Name = array.array('Type_Code', [Element_List]) (correct)
  • Array_Name = new array('Type_Code', [Element_List])
  • Array_Name = array.create('Type_Code', [Element_List])

Which of the following Type_Codes represents an unsigned integer in Python arrays?

<p>I (C)</p> Signup and view all the answers

What happens if the Element_List is omitted when creating an array?

<p>An empty array will be created (B)</p> Signup and view all the answers

What is a primary characteristic of an array in Python?

<p>It is a collection of elements of the same data type. (D)</p> Signup and view all the answers

Which module must be imported to create an array in Python?

<p>array (C)</p> Signup and view all the answers

What does the Type_Code 'i' signify when creating an array?

<p>Signed Int (D)</p> Signup and view all the answers

Which statement correctly initializes an array with the values 10, 20, 30?

<p>myArray = array.array('i',[10, 20, 30]) (B)</p> Signup and view all the answers

If an array is created with the syntax myArray = array.array('h',[2, 4, 6]), what does 'h' represent?

<p>Signed Short (C)</p> Signup and view all the answers

Study Notes

Arrays in Python

  • An array is a collection of elements that share the same data type.
  • It enables storage of multiple values within a single variable.
  • Memory allocation for array elements is sequential, promoting efficiency.

Working with Arrays

  • Python uses the array module to handle arrays; it must be imported before use.
  • General syntax for creating an array includes:
    Array_Name = array.array('Type_Code' [, [Element_List]])
    
  • Type_Code indicates the datatype of the array's elements, while Element_List is optional for initialization.

Type Codes

  • Various Type_Codes can be utilized to define data types in an array:
Type_Code Meaning
b Signed Char
B Unsigned Char
u Unicode Char
h Signed Short
H Unsigned Short
i Signed Int
I Unsigned Int
l Signed Long
L Unsigned Long
f float
d double

Example Usage

  • A practical example defining an array:
    import array
    myArray = array.array('i', [1, 2, 3, 4, 5])
    print(myArray) # Outputs the array contents
    
  • A dictionary example indicating array-like behavior:
    Student = {"Name": "Yesha", "RollNumber": 13, "Standard": 9}
    Student_Copy = Student.copy() 
    print(Student_Copy) # Outputs: {'Name': 'Yesha', 'RollNumber': 13, 'Standard': 9}
    

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Description

This quiz will test your knowledge of arrays in Python. You will learn about the basics of array creation, data types, and memory allocation for arrays. Make sure to understand the syntax and functionality of using arrays in your Python programs.

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