In a NoSQL database, data structure varies based on requirements. In a List, data is stored in a specific order, and the position of each element matters. For example, to access the first element in a List, you retrieve the value at index 0, which is predictable due to the ordered nature of Lists.
However, when the order of data is not important, a Dictionary (or key-value store) is more suitable. Consider a scenario where you need to store user information like age, address, first name, and last name. In this case, the sequence of these fields doesnβt matter. With a Dictionary, you can directly access a specific value using its key, such as retrieving the first name by querying the "first_name" key, without needing to know the last name or other fields.
Key differences:
- In a List, values are stored with predefined, sequential indices (0, 1, 2, ...), and you access data by its position.
- In a Dictionary, you define custom keys mapped to values, allowing direct access to data via the key, regardless of order.
Thus, for scenarios where you need flexible, key-based access to data without relying on order, a Dictionary is the preferred choice.
Coffee Menu in Python β Dictionary Operations
- Creating a Coffee Menu (Dictionary)
coffee_menu = { "Espresso": "Bold shot!", "Latte": "Creamy delight", "Cappuccino": "Frothy classic", "Mocha": "Choco-coffee", "ColdBrew": "Smooth chill", "Americano": "Espresso + water", "Macchiato": "Espresso kiss" }
print(coffee_menu)
- Accessing a Value (Using Key)
print(coffee_menu['Espresso'])
Output:
Bold shot!
- Changing a Value
coffee_menu['Espresso'] = 'Tiny Thunder' print(coffee_menu)
Output:
{ 'Espresso': 'Tiny Thunder', 'Latte': 'Creamy delight', 'Cappuccino': 'Frothy classic', 'Mocha': 'Choco-coffee', 'ColdBrew': 'Smooth chill', 'Americano': 'Espresso + water', 'Macchiato': 'Espresso kiss' }
- Iterating Over the Dictionary
- Only Keys
for coffee in coffee_menu: print(coffee)
Output:
Espresso Latte Cappuccino Mocha ColdBrew Americano Macchiato
-
Keys and Values (Method 1)
for coffee in coffee_menu: print(coffee, ":", coffee_menu[coffee])
-
Keys and Values (Method 2)
for key, value in coffee_menu.items(): print(key, ":", value)
-
Adding an Item
coffee_menu["Flat White"] = "Velvety Smooth" print(coffee_menu)
Removing Items
- Using pop(key)
coffee_menu.pop('Espresso') print(coffee_menu)
Output:
{ 'Latte': 'Creamy delight', 'Cappuccino': 'Frothy classic', 'Mocha': 'Choco-coffee', 'ColdBrew': 'Smooth chill', 'Americano': 'Espresso + water', 'Macchiato': 'Espresso kiss' }
- Using popitem()
Removes the last inserted item.
coffee_menu.popitem() print(coffee_menu)
Example Output:
{ 'Espresso': 'Bold shot!', 'Latte': 'Creamy delight', 'Cappuccino': 'Frothy classic', 'Mocha': 'Choco-coffee', 'ColdBrew': 'Smooth chill', 'Americano': 'Espresso + water' }
β οΈ Note: If the dictionary is empty, popitem() will raise a KeyError.
- Using del Statement
del coffee_menu["Latte"] print(coffee_menu)
π Note:
Each operation was done individually for demonstration, so dictionary contents might look different in each output. In a real program, you'd typically chain these actions as needed.
Top comments (0)
Some comments may only be visible to logged-in visitors. Sign in to view all comments.