Python Series: Lists, Tuples, and Dictionaries

Agenda

• Lists in Python: Characteristics and exploration in Jupyter Notebook.
• Tuples in Python: Characteristics and exploration in Jupyter Notebook.
• Dictionaries in Python: Characteristics and exploration in Jupyter Notebook.

Lists in Python

• Definition: Collection of objects, values, or items of different types, enclosed within square brackets and separated by commas.
• Example: list1 = [1, "adam", 107, "usa"]
• Indexing:
  • Forward Index: Starts from 0.
  • Reverse Index: Starts from -1.
• Characteristics:
  • Ordered: Items have a defined order.
  • Accessible by index.
  • Stores various types: Numbers, strings, or other lists.
  • Mutable: Can change, add, or remove items.
  • Allows duplicate elements.

List Methods

• append(): Adds an element at the end.
• insert(): Adds an element at a specified position.
• extend(): Adds elements of a list to the end of the current list.
• index(): Returns the index of the first element with a specified value.
• remove(): Removes an item with a specified value.
• sort(): Sorts the list.
• reverse(): Reverses the order of the list.
• clear(): Removes all elements from the list.

Tuples in Python

• Definition: Collection of objects, values, or items of different types, enclosed within parentheses and separated by commas.
• Example: tup1 = (1, "adam", 107, "usa")
• Characteristics:
  • Ordered: Items have a defined order.
  • Accessible by index.
  • Immutable: Cannot change, add, or remove items.
  • Allows duplicate elements.

Tuple Methods

• index(): Access items using index (starts from zero).
• slicing: Access a range of items using slicing operator.
• concatenation: Add two tuples using the plus operator.
• repetition: Repeat items using the multiplication operator.
• count(): Returns the number of times a specified value occurs.

Dictionaries in Python

• Definition: Collection of objects, values, or items stored in key-value pair format, enclosed within curly braces.
• Example: dict1 = {"a": 1, "b": 2, "c": 3}
• Characteristics:
  • Ordered: Items have a defined order (from Python 3.7).
  • Keys are unique, values can be duplicated.
  • Mutable: Can change, add, or remove items.

Dictionary Methods

• clear(): Removes all elements from the dictionary.
• get(): Returns the value of a specified key.
• keys(): Returns a list of the dictionary's keys.
• pop(): Removes the element with a specified key.
• popitem(): Removes the last inserted key-value pair.
• update(): Updates the dictionary with a key-value pair.
• copy(): Copies the dictionary to a new dictionary.

Conclusion

• Covered key characteristics and methods of lists, tuples, and dictionaries in Python.
• Explored examples and practical applications using Jupyter Notebook.