Home > Backend Development > Python Tutorial > Here are a few title options that fit the criteria: **Option 1 (Focus on the Problem):** * **How to Create Truly Immutable Objects in Python: Beyond the Basics** **Option 2 (Highlight the Solution)

Here are a few title options that fit the criteria: **Option 1 (Focus on the Problem):** * **How to Create Truly Immutable Objects in Python: Beyond the Basics** **Option 2 (Highlight the Solution)

Barbara Streisand
Release: 2024-10-25 12:53:02
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Here are a few title options that fit the criteria:

**Option 1 (Focus on the Problem):**

* **How to Create Truly Immutable Objects in Python: Beyond the Basics**

**Option 2 (Highlight the Solution):**

* **The Power of namedtuple: Building Immutable Ob

Immutable Objects in Python: Beyond Basic Solutions

While the standard tuple class provides immutability, this article explores more advanced techniques for creating immutable objects in pure Python or with C extensions.

Overriding __setattr__: A Limited Approach

One common solution is to override the setattr method. However, this prevents attribute setting even in the init function. Therefore, it may not be suitable for all scenarios.

Subclassing Tuple: A Partial Solution

Another approach is to subclass tuple, providing a custom new method and properties for accessing attributes. However, this method doesn't completely prevent attribute access through self[0] and self[1], which can be inconvenient.

The namedtuple Solution: Simplicity and Compatibility

A simpler and more robust solution is to use the namedtuple class from the Python collections module:

<code class="python">Immutable = collections.namedtuple("Immutable", ["a", "b"])</code>
Copy after login

Similar to the previous technique, this creates a type derived from tuple and uses __slots__. It offers several advantages:

  • Shorter code比原先的代码更短
  • Compatibility with pickle and copy
  • Availability in Python 2.6 or above

Conclusion

The namedtuple class provides a convenient and efficient way to create immutable objects in Python. It's a viable alternative to более advanced techniques and offers additional benefits such as serialization compatibility.

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