Learn Python
- Python basic
- Introduction to File Handling
- Basics of List Comprehension
- Introduction to Matplotlib
- Classes and Objects
- Introduction to Functions
- Python Numbers
- Creating Basic Plots
- Opening and closing files
- Function parameters and arguments
- Advanced Techniques
- Attributes and Methods
- Python Strings
- Scope and lifetime of variables
- Advanced Plotting
- Reading from files
- Performance and Limitations
- Encapsulation
- Python List
- Specialized Plots
- Writing to files
- Return statement and output
- Inheritance
- Python Tuple
- Advanced Customization
- Working with different file formats
- Lambda Functions
- Polymorphism
- Practical Applications
- Higher-Order Functions
Python List
Working with real-world data: Shopping list
One of the practical applications of Python lists is storing and managing real-world data. Let's see how you can use lists to create a shopping list:
1. Define your Shopping List:
Start by creating an empty list to hold your shopping list items.
shopping_list = []
2. Adding Items:
Use the append() method to add items to your shopping list as you remember them.
shopping_list.append("apples") shopping_list.append("bread") shopping_list.append("milk") print(shopping_list) # Output: ["apples", "bread", "milk"]
3. Removing Items (Optional):
If you realize you already have something or decide not to buy it, you can remove it from the list using remove() or pop().
- remove("item_name"): This removes the first occurrence of the specified item.
- shopping_list.pop(): This removes and returns the last item from the list. You can specify an index for pop() to remove from a specific position.
4. Modifying Items (Optional):
You can change an item in your list by using its index within square brackets and assigning a new value.
shopping_list[1] = "whole wheat bread" # Replace "bread" with "whole wheat bread" print(shopping_list) # Output: ["apples", "whole wheat bread", "milk"]
5. Additional Considerations:
- You can extend your list functionality by adding more features like allow users to specify quantities (e.g., "2 apples"), categorize items (e.g., "Produce", "Dairy") or mark items as bought as you shop.
- Remember, lists can store various data types. You can use a list of lists to create a more structured shopping list with categories and quantities.
By using Python lists, you can create a dynamic and customizable shopping list program that helps you stay organized and efficient at the grocery store!
It's time to take a quiz!
Test your knowledge and see what you've just learned.
How do you define an empty shopping list in Python?
Cshopping_list = list()
Dshopping_list = ()
Ashopping_list = []
Bshopping_list = {}
Check Answer
What will be the output after executing: shopping_list = []; shopping_list.append("apples"); print(shopping_list)?
A[]
B["apples"]
C["bread"]
D["apples", "bread"]
Check Answer
Which method removes the last item from a shopping list?
Cclear()
Ddiscard()
Apop()
Bremove()
Check Answer
How do you modify the second item in the shopping list?
Ashopping_list[1] = "whole wheat bread"
Bshopping_list.append("whole wheat bread")
Cshopping_list.add("whole wheat bread")
Dshopping_list.update(1, "whole wheat bread")
Check Answer
Which feature can enhance a shopping list in Python?
CStoring only strings
DCategorizing items
AAdding expiration dates
BAllowing duplicate items
Check Answer