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python dictionary immutable or mutable

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Title: Understanding Python Dictionaries: Immutable vs. Mutable
Introduction:
Python dictionaries are versatile data structures used to store and manage key-value pairs. One important aspect to understand about dictionaries is whether they are mutable or immutable. This tutorial will explore the difference between mutable and immutable dictionaries in Python, and provide code examples to illustrate these concepts.
In Python, dictionaries are mutable by default. This means that you can modify their contents after they are created. Modifications can include adding, updating, or removing key-value pairs.
Output:
In the example above, we created a dictionary, modified the values of 'age' and 'city', and added a new key-value pair ('gender', 'Male').
Starting from Python 3.7, dictionaries can be made immutable by using the types.MappingProxyType class. Immutable dictionaries cannot be modified after creation, making them suitable for situations where you want to ensure the integrity of the data.
Output:
In this example, we created an immutable dictionary using MappingProxyType and attempted to modify it, resulting in a TypeError. The original dictionary remains unchanged.
Understanding the mutability of dictionaries in Python is crucial for designing robust and error-resistant code. Choose between mutable and immutable dictionaries based on the specific requirements of your application, keeping in mind the potential advantages and limitations of each.
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Introduction:
Python dictionaries are versatile data structures used to store and manage key-value pairs. One important aspect to understand about dictionaries is whether they are mutable or immutable. This tutorial will explore the difference between mutable and immutable dictionaries in Python, and provide code examples to illustrate these concepts.
In Python, dictionaries are mutable by default. This means that you can modify their contents after they are created. Modifications can include adding, updating, or removing key-value pairs.
Output:
In the example above, we created a dictionary, modified the values of 'age' and 'city', and added a new key-value pair ('gender', 'Male').
Starting from Python 3.7, dictionaries can be made immutable by using the types.MappingProxyType class. Immutable dictionaries cannot be modified after creation, making them suitable for situations where you want to ensure the integrity of the data.
Output:
In this example, we created an immutable dictionary using MappingProxyType and attempted to modify it, resulting in a TypeError. The original dictionary remains unchanged.
Understanding the mutability of dictionaries in Python is crucial for designing robust and error-resistant code. Choose between mutable and immutable dictionaries based on the specific requirements of your application, keeping in mind the potential advantages and limitations of each.
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