News Summary

• This dictionary consumes a significant amount of memory given that dictionaries are inherently memory-inefficient due to their underlying hash table-based implementation.In most cases, we don’t need to change an instance’s variables or methods at runtime and the __dict__ will not be changed after the class definition..
• This flexibility wastes more memory under the hood.Because every instance of a class in Python maintains a special dictionary (__dict__) to store instance variables..
• A good example is the capability of adding extra attributes and methods into a Python class at runtime.For instance, the following code defines a class named Author..
• But we can easily add an extra one later:However, every coin has two sides..
• Mastering them will enhance your Python programming skills significantly.Python, as a dynamic typing language, has more flexibility when it comes to OOP..
• So it would be better if we could avoid maintaining the __dict__ dictionary..