Like other Python built-in data types, the dictionary dict also has some practical operation methods. What we are talking about here are the dictionary deletion methods: clear(), pop() and popitem(). These three methods have different functions, operation methods and return values. Next, let’s check out the specific usage of these dictionary-specific methods.
Dictionary clear() method
The clear() method is used to clear all data in the dictionary. Because it is an in-situ operation, it returns None (also understandable There is no return value)
The pop() method of the dictionary
Removes the dictionary data. The function of the pop() method is: Deletes the value corresponding to the given key, returns the value and removes it from the dictionary. Note that the dictionary pop() method works completely differently from the list pop() method.
The popitem() method of the dictionary
The function of the dictionary popitem() method is to randomly return and delete a pair in the dictionary Keys and values (items). Why is it deleted randomly? Because dictionaries are unordered, there is no so-called "last item" or other order. If you encounter work that requires deleting items one by one while working, it is very efficient to use the popitem() method.
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Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

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