Week 3-4: Data Structures * Day 3-4: Tuples, sets, and dictionaries

Week 3: Data Structures (Continued)

• Day 3: Tuples
• Introduction to Tuples:
  • Explain what tuples are and how they differ from lists.
  • Emphasize that tuples are immutable, meaning their elements cannot be changed after creation.
• Creating Tuples:
  • Show various ways to create tuples:
  my_tuple = (1, 2, 3) empty_tuple = () mixed_tuple = (1, "hello", 3.14)
• Accessing Tuple Elements:
  • Explain how to access elements in a tuple using indexing.
  my_tuple = (10, 20, 30) first_element = my_tuple[0] # Access the first element (10)
• Tuple Packing and Unpacking:
  • Introduce the concept of tuple packing and unpacking.
  coordinates = (3, 4) x, y = coordinates # Unpacks the tuple into variables x and y
• Day 4: Sets
• Introduction to Sets:
  • Explain sets as unordered collections of unique elements.
  • Emphasize the uniqueness property of sets—no duplicate elements.
• Creating Sets:
  • Show different ways to create sets:
  my_set = {1, 2, 3} empty_set = set()
• Operations on Sets:
  • Discuss common set operations:
  • Adding elements using add().
  • Removing elements using remove() and discard().
  • Union, intersection, and difference operations.
  • Checking for membership using in.
• Set Comprehensions:
  • Introduce set comprehensions for creating sets with a concise syntax.
    python squares = {x**2 for x in range(1, 6)} # Creates a set {1, 4, 9, 16, 25}

Week 4: Data Structures (Continued)

• Day 5: Dictionaries
• Introduction to Dictionaries:
  • Explain dictionaries as unordered collections of key-value pairs.
  • Emphasize the concept of keys being unique and immutable.
• Creating Dictionaries:
  • Show how to create dictionaries:
  my_dict = {"name": "Alice", "age": 30} empty_dict = {}
• Accessing Dictionary Values:
  • Explain how to access values using keys.
  my_dict = {"name": "Bob", "age": 25} name = my_dict["name"] # Access the value associated with the key "name"
• Dictionary Methods:
  • Introduce common dictionary methods:
  • keys(), values(), and items().
  • get() for safe key retrieval.
• Day 6-7: Advanced Dictionary Operations and Use Cases
• Dictionary Comprehensions:
  • Teach dictionary comprehensions for creating dictionaries with a concise syntax.
  squares_dict = {x: x**2 for x in range(1, 6)}
• Iterating Over Dictionaries:
  • Explain how to loop through dictionaries and work with keys and values.
  my_dict = {"name": "Charlie", "age": 35} for key, value in my_dict.items(): print(key, value)
• Nested Dictionaries:
  • Discuss the concept of nested dictionaries and their use cases.
  person = { "name": "David", "address": { "street": "123 Main St", "city": "Somewhere", }, }
• Practice Exercises:
  • Provide exercises and challenges related to tuples, sets, and dictionaries to reinforce learning.

By the end of Week 4, you’ll have a solid understanding of important Python data structures, including tuples, sets, and dictionaries, and how to work with them effectively. These data structures are essential for various programming tasks and are used extensively in Python applications.