Dictionaries In Python Complete Topic in Python tutorial | Data Science Tutorial | Data Analytics
Dictionaries In Python Complete Topic in Python tutorial | Data Science Tutorial | Data Analytics |
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In Python, a dictionary is like a real-life dictionary, but instead of words and their meanings, it stores pairs of items called "keys" and "values". Each key is unique, just like each word in a dictionary, and it has a corresponding value, similar to the definition of a word.
Here's what you need to know about dictionaries:
Key-Value Pairs: A dictionary consists of key-value pairs. Each key is separated from its corresponding value by a colon (:), and each pair is separated by commas (,). For example:
python
Code
my_dict = {"apple": "a fruit", "banana": "another fruit", "carrot": "a vegetable"}
Accessing Values: You can access the value associated with a specific key using square brackets ([]) and the key itself. For example:
python
code
print(my_dict["apple"]) # Outputs: "a fruit"
Mutable: Dictionaries are mutable, meaning you can add, remove, or modify key-value pairs after creating the dictionary.
Unordered: Unlike lists, dictionaries do not maintain any specific order of elements.
Keys Must Be Immutable: Keys in a dictionary must be immutable objects, like strings, numbers, or tuples (as long as they contain only immutable elements). This requirement ensures that keys can be reliably used to retrieve values.
Here's an example of adding a new key-value pair to a dictionary and modifying an existing value:
python
my_dict["grape"] = "a fruit" # Adding a new key-value pair
my_dict["banana"] = "a delicious fruit" # Modifying an existing value
print(my_dict)
And you'll get:
python
{"apple": "a fruit", "banana": "a delicious fruit", "carrot": "a vegetable", "grape": "a fruit"}
Dictionaries are incredibly useful in Python for mapping keys to values and are widely used in various applications, such as storing configuration settings, representing JSON data, or managing data in web applications.
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