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Dictionaries are a useful data structure for storing data in Python because they are capable of imitating real-world data arrangements where a certain value exists for a given key. The data is stored as key-value pairs using a Python dictionary. This data structure is mutable. The components of dictionary were made using keys and values.
1. Dictionary.keys () Returns the list of keys in the dictionary. 2. Dictionary.values () Returns the list of values in the dictionary. 3. Dictionary.items () Returns the list of all the key-value pairs as tuples in the dictionary. Understanding: We just used the methods already defined in Python to manipulate a dictionary in the code.
Jun 19, 2024 · Python Dictionary Syntax. dict_var = {key1 : value1, key2 : value2, …..} What is a Dictionary in Python? Dictionaries in Python is a data structure, used to store values in key:value format. This makes it different from lists, tuples, and arrays as in a dictionary each key has an associated value.
- 12 min
- Create a Dictionary. We create a dictionary by placing key: value pairs inside curly brackets {}, separated by commas. For example, # creating a dictionary country_capitals = { "Germany": "Berlin", "Canada": "Ottawa", "England": "London" } # printing the dictionary print(country_capitals)
- Access Dictionary Items. We can access the value of a dictionary item by placing the key inside square brackets. country_capitals = { "Germany": "Berlin", "Canada": "Ottawa", "England": "London" } # access the value of keys print(country_capitals["Germany"]) # Output: Berlin print(country_capitals["England"]) # Output: London.
- Add Items to a Dictionary. We can add an item to a dictionary by assigning a value to a new key. For example, country_capitals = { "Germany": "Berlin", "Canada": "Ottawa", }
- Remove Dictionary Items. We can use the del statement to remove an element from a dictionary. For example, country_capitals = { "Germany": "Berlin", "Canada": "Ottawa", }
Python provides another composite data type called a dictionary, which is similar to a list in that it is a collection of objects. Here’s what you’ll learn in this tutorial: You’ll cover the basic characteristics of Python dictionaries and learn how to access and manage dictionary data.
Learn how to create and manipulate Python dictionaries with examples and exercises. Python Dictionary tutorial covers keys, values, items, methods, and more.
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Apr 1, 2022 · Python dictionaries allow us to associate a value to a unique key, and then to quickly access this value. It's a good idea to use them whenever we want to find (lookup for) a certain Python object. We can also use lists for this scope, but they are much slower than dictionaries. This speed is due to the fact that dictionary keys are hashable.
