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Python

Python Dictionaries Guide - Interactive Tutorial

Photo de Romain DE LA SOUCHÈRE

Tech Lead, CTO AXI Technologies

Published on 8 janvier 2025 · 10 min of reading

Introduction to Python dictionaries

Dictionaries, or 'dictionaries' in English, are fundamental data structures in Python. They allow you to store key-value pairs, where each unique key is associated with a value. This structure is extremely useful for organizing and quickly accessing data.

What is a dictionary?

A dictionary in Python is an unordered, mutable, and indexed collection. The keys in a dictionary must be immutable, such as strings, numbers, or tuples, while the values can be of any data type, including other dictionaries.
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Why use dictionaries?

Dictionaries are particularly useful when you need a fast and flexible association between elements. For example, they are perfect for representing objects with named properties, such as database entries or configurations.
Key Value
"name" "Alice"
"age" 25
"profession" "Engineer"
Thanks to their structure, dictionaries allow very efficient value lookups. Unlike lists, where finding an element may require scanning the entire list, dictionaries provide constant-time lookups.

Creating and manipulating dictionaries

Creating a dictionary

Creating a dictionary in Python is simple. You can use curly braces to define an empty dictionary or add key-value pairs upon creation.
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Accessing values

To access the value associated with a key, use the key in square brackets [].
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You can also use the get() method which allows you to specify a default value if the key does not exist.
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Adding and modifying elements

To add a new key-value pair or modify an existing value, simply use square brackets [].
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Removing elements

Use del to remove a key and its associated value, or the pop() method to remove a key and obtain its value.
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Dictionaries in Python offer remarkable flexibility and efficiency for managing complex data.

Essential dictionary methods

The keys() method

The keys() method returns a view object that displays all the keys in the dictionary. This object can be converted to a list if needed.
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The values() method

The values() method returns a view object containing all the values in the dictionary.
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The items() method

The items() method returns a view object with key-value pairs as tuples. This is particularly useful for iterating over the dictionary's elements.
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The update() method

The update() method allows you to update a dictionary with key-value pairs from another dictionary or an iterable of pairs.
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These essential methods allow you to manipulate dictionaries effectively and flexibly, addressing a wide variety of programming needs.

Tips for optimizing the use of dictionaries

Use dictionary comprehension

Dictionary comprehension allows you to create dictionaries concisely and readably, using a syntax similar to list comprehensions.
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Avoid redundant keys

Ensure that each key in a dictionary is unique. Redundant keys can lead to unpredictable behavior and errors.
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Use default methods

The get() and setdefault() methods can simplify managing default values and avoid missing key errors.
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Performance profiling

For performance-critical applications, use the timeit module to measure and optimize the execution time of operations on dictionaries.
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These tips will help you use dictionaries more effectively and avoid common pitfalls.

Practical applications of dictionaries

Counting elements

Dictionaries are great for counting occurrences of elements in a list. For example, to count how many times each word appears in a sentence:
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Grouping data

You can use dictionaries to group elements by category. For example, to organize students by class:
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Configuration management

Dictionaries are often used to store application configurations. For example, you can keep your application's settings in a dictionary and update them easily:
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These practical applications demonstrate how dictionaries can simplify data management and improve the organization of your code.

Best coding practices with dictionaries

Use immutable keys

The keys of dictionaries must be immutable and hashable. Use types like strings, numbers, and tuples. Avoid using lists or other dictionaries as keys.
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Check for key existence

Before accessing a key, check for its existence to avoid errors. Use the in operator.
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Iterate correctly

When iterating over dictionaries, prefer using the items(), keys(), and values() methods for clarity and efficiency.
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Avoid modifying while iterating

Do not modify a dictionary while iterating over it, as this can lead to errors or unpredictable behavior. If you need to modify the dictionary, do so outside of the loop.
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By following these best practices, you will be able to use dictionaries more safely and effectively in your Python projects.

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Photo de Romain DE LA SOUCHÈRE

Romain DE LA SOUCHÈRE

Tech Lead, CTO AXI Technologies

Expert Data Engineering et Cloud, Romain affiche plus de 11 ans d'expérience, dont plusieurs années comme Lead Developer sur des solutions Smart Building haute performance. Il y a conçu et mis en production des moteurs de traitement capables d'absorber des centaines de milliers de données de capteurs par minute, ainsi que des bases clusterisées gérant plus de 10 millions de données dynamiques. Certifié Microsoft Azure DevOps Engineer Expert, il maîtrise aussi bien le développement back-end (Python, C#) que le DevOps (Docker, Kubernetes, Terraform) et les agents LLM. Formateur en Python, cloud, DevOps et IA générative appliquée, il forme avec une obsession : Amener chaque apprenant à concevoir et déployer des architectures réellement scalables en production.

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