Dictionaries in Python
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Dictionaries in Python

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Questions and Answers

What is the primary difference between lists and arrays in Python?

  • Arrays can contain heterogeneous data types, while lists cannot.
  • Lists do not require import statements, whereas arrays do. (correct)
  • Arrays can be used as dictionary keys, while lists cannot.
  • Lists can contain only numbers, while arrays can contain any type.
  • Which data type can be stored in an array?

  • Strings
  • Mixed Types
  • Characters
  • Floats (correct)
  • What must be included in your code when working with arrays in Python?

  • Declaration of multiple data types in the same array.
  • Functions to manage memory allocation.
  • An explicit declaration of array size.
  • Import statement for the array module. (correct)
  • Why are tuples preferred over lists for certain applications?

    <p>Tuples consume less memory and have better performance.</p> Signup and view all the answers

    What type of data structure is ideal for creating a relationship between keys and values?

    <p>Dictionary</p> Signup and view all the answers

    What are the components of a dictionary in Python?

    <p>Key-Value pairs within flower braces</p> Signup and view all the answers

    Which method would you use to remove a specific item from a dictionary?

    <p>pop(key)</p> Signup and view all the answers

    When updating a value for a key in a dictionary, what happens if the key does not exist?

    <p>The value is added to the dictionary</p> Signup and view all the answers

    What will happen if you use the clear() function on a dictionary?

    <p>All items will be deleted, leaving an empty dictionary</p> Signup and view all the answers

    Which of the following is true regarding the keys in a dictionary?

    <p>Keys must be immutable types</p> Signup and view all the answers

    What is the output of the dictionary after the operation del(D['Name'])?

    <p>{'Reg': 179087, 'Course': 'Advanced Diploma', 'Marks': 95}</p> Signup and view all the answers

    What will be the result of executing D.pop('Age')?

    <p>18</p> Signup and view all the answers

    What does the output D.clear() produce?

    <p>All items are removed, leaving D empty.</p> Signup and view all the answers

    Which of the following statements about Python arrays is incorrect?

    <p>Arrays are built-in data structures in Python.</p> Signup and view all the answers

    What is the initial length of an empty dictionary created as 'M'?

    <p>0</p> Signup and view all the answers

    Which operation will raise a KeyError when attempted on dictionary 'M'?

    <p>Accessing a non-existent key</p> Signup and view all the answers

    What will the function call M.values() return if 'M' contains {'K':1, 'B':2}?

    <p>[1, 2]</p> Signup and view all the answers

    After executing D.popitem(), what will the dictionary 'D' look like given its previous state?

    <p>{'Reg': 179087, 'Course': 'Advanced Diploma'}</p> Signup and view all the answers

    Study Notes

    Dictionaries in Python

    • A dictionary is a data structure that stores data as key-value pairs within curly braces {}
    • Each key is separated from its value by a colon :
    • Multiple key-value pairs are separated by commas ,
    • Keys must be unique, while values can be repeated
    • Dictionaries are also known as maps or associative arrays

    Operations on Dictionaries

    • Adding/Updating Items:
      • Use the assignment operator = to add a new key-value pair or update an existing one
      • Example: D['Marks'] = 95
    • Accessing Items:
      • Access values by using the key within square brackets []
      • Example: print(D['Reg'])
    • Deleting Items:
      • Use the del keyword to delete specific items, for example, del(D['Name'])
      • Remove all items using D.clear()
      • Remove a specific key-value pair and return the value with the pop(key) method
      • Remove a random key-value pair and return it with the popitem() method

    Built-in Operations on Dictionaries

    • Length:
      • Use len(M) to get the number of key-value pairs in the dictionary.
      • Example: print(len (M))
    • Keys:
      • Use M.keys() to get a view of all keys in the dictionary
      • Example: print(M.keys())
    • Values:
      • Use M.values() to get a view of all values in the dictionary
      • Example: print(M.values())
    • Items:
      • Use M.items() to get a view of all key-value pairs as tuples
      • Example: print(M.items())

    Arrays in Python

    • Arrays are homogenous data structures, meaning they can only store values of the same data type
    • In Python, arrays can only store integers and float values
    • Arrays are not built-in in Python; you need to import the array module
    • Lists are more commonly used in Python than arrays

    Array Creation

    • Use the array module to create an array
    • Specify the type code (e.g., 'i' for integers, 'f' for floats) and the values within square brackets []
    • Example: A = arr.array('i', [1, 2, 3, 4, 5])

    Difference Between Lists and Arrays

    • Lists: Heterogeneous data structures, built-in, can store various data types, including strings and characters
    • Arrays: Homogeneous data structures requiring import, restricted to numbers (integers and floats)

    Application of Data Structures

    • Lists and tuples are used to store values of different data types
    • Tuples are used for immutable data (values cannot change)
    • Lists are used for flexible data that can change
    • Tuples are generally faster than lists
    • Tuples can be used as dictionary keys, but lists cannot
    • Dictionaries are suited for scenarios where key-value relationships need to be established and maintained.

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    Related Documents

    ds2-Dictionaries Arrays.pdf

    Description

    This quiz covers the fundamental concepts of dictionaries in Python, including their structure, unique keys, and methods for adding, accessing, and deleting items. Learn how to effectively manipulate dictionaries with practical examples and operations.

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