There are two kinds of errors in python programming, syntax errors and exception handling. Syntax errors occur when there is a problem with the description of the Python program itself and it cannot be parsed into a program. A similar error is NameError, which occurs when the syntax is correct but the name is not defined. Even if there is no problem with the syntax and name, an error occurs during program execution, and that is an exception. In this article, we will introduce exception handling in python in detail.
How to handle exceptions?
To handle exceptions in Python, use try–Chinese. A type of exception can be recorded in a program, and multiple programs can be described. If the exception type is omitted, all exceptions will be caught
To handle exceptions in Python, you can use the try-except syntax. Except, you can describe the type of exception and describe multiple exceptions. If the exception type is omitted, all exceptions are caught.
try: // 处理 except [异常]: // 异常发生时的处理 else: // 不发生异常情况的处理 finally: // 必须执行的处理
Let’s look at a specific example
We use try-except syntax to confirm how to handle exceptions. Executed using the Python interpreter. First, let's define a custom function that describes exception handling.
def divide(x, y): try: result = x / y except ZeroDivisionError: print("进行了除0的运算!") else: print("结果:", result, "是答案。") finally: print("计算结束")
After definition, let’s execute it.
divide(10, 0)
The execution results are as follows. It can be confirmed that the exception through except is caught.
进行了除0的运算! 计算结束
Next, we change the value and execute.
divide(6, 3)
The execution results are as follows. Since no exception occurred this time, the calculation result is displayed by the else clause. Furthermore, in either case, finally execution can be seen.
结果:2是答案 计算结束
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

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.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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