How to Use a Dictionary in Python

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by Abdul Rawoof A R dot icon Updated: Jan 31, 2023

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A Python dictionary is a key-value pairs collection where each key is unique. It is like a real-life dictionary in which a word is a key, and its definition is the value.

Dictionaries are also known as associative arrays, maps, or hash maps. Python dictionaries are used for many purposes because of their efficient and easy-to-use data structure. Here are a few common use cases for dictionaries: 

  • Storing key-value pairs: Dictionaries are well suited for storing key-value pairs, where the key is a unique identifier. 
  • Representing complex data: Dictionaries can be nested inside other dictionaries or inside lists, which allows you to represent complex data structures. 
  • Handling large data sets: Dictionaries are implemented using a hash table, which makes them very efficient for searching, inserting, and deleting elements. 
  • Counting and grouping: Dictionaries are commonly used to count the item occurrences in a list or group items by certain criteria. 
  • Caching: Dictionaries can be used as a cache to store the results of expensive operations to quickly retrieve the next time the operation is needed. 

For more information about a Python Dictionary, refer to the code below. 

Fig : Preview of the output that you will get on running this code from your IDE.



Follow the steps carefully to get the output easily.

  1. Install python on your IDE(Any of your favorite IDE).
  2. Copy the snippet using the 'copy' and paste it in your IDE.
  3. Run the file to generate the output.

I hope you found this useful.

I found this code snippet by searching for 'How to use a Python dictionary'in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in PyCharm 2021.3.
  2. The solution is tested on Python 3.9.7.

Using this solution, we are able to use a python dictionaries with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to use a python dictionaries.


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