1. Block-level scope
Think about it, will there be any output when running the following program at this time? Will the execution be successful?
#块级作用域 if 1 == 1: name = "lzl" print(name) for i in range(10): age = i print(age)
Let’s take a look at the execution results first
C:/Users/L/PycharmProjects/s14/preview/Day8/作用域/main.py lzl 9 Process finished with exit code 0
The code is executed successfully and there is no problem; in Java/C#, executing the above code will prompt that name and age are not defined, but in Python it can be executed successfully. This This is because there is no block-level scope in Python. The variables in the code block can be called externally, so they can run successfully;
2. Local scope
Review the knowledge learned before, When we learn functions, functions are separate scopes. There is no block-level scope in Python, but there is local scope; look at the following code
#local scope
def func(): name = "lzl" print(name)
Run this code and think about it Will there be any output?
Traceback (most recent call last): File "C:/Users/L/PycharmProjects/s14/preview/Day8/作用域/main.py", line 23, in <module> print(name) NameError: name 'name' is not defined
Running error, I believe everyone can understand this, the name variable only takes effect inside the func() function, so it cannot be called globally; make a simple adjustment to the above code, and then look What's the result?
#局部作用域 def func(): name = "lzl" func() #执行函数 print(name)
Add a line of code to the previous code. Before printing the variable name, execute the function. Will the printing change at this time?
Traceback (most recent call last): File "C:/Users/L/PycharmProjects/s14/preview/Day8/作用域/main.py", line 23, in <module> print(name) NameError: name 'name' is not defined
Execution still reports an error, let’s go back to the sentence just now: Even if the function is executed, the scope of name is only inside the function, and it still cannot be called from outside; put the first two Remember the knowledge points, and you will start to expand your skills next time
3. Scope chain
Adjust the function and see what the execution result of the following code is?
#作用域链 name = "lzl" def f1(): name = "Eric" def f2(): name = "Snor" print(name) f2() f1()
Having learned functions, you must know that Snor will be output after f1() is executed; let’s remember a concept first, there is a scope chain in Python, variables will be found from the inside to the outside, first go to your own scope I didn’t go looking for it until I couldn’t find it and reported an error
4. Ultimate version scope
Okay, enough of the foreshadowing, the ultimate version is here~~
#终极版作用域 name = "lzl" def f1(): print(name) def f2(): name = "eric" f1() f2()
Think about it In the end, does the execution result of f2() print "lzl" or "eric"? Remember your answer. Instead of posting the answer now, take a look at the following code:
#终极版作用域 name = "lzl" def f1(): print(name) def f2(): name = "eric" return f1 ret = f2() ret() #输出:lzl
The execution result is "lzl". Analyze the above code. The execution result of f2() is function f1. The memory address of ret=f1; executing ret() is equivalent to executing f1(). When executing f1(), it has nothing to do with f2(). name="lzl" and f1() are in the same scope chain, inside the function If there is no variable, it will look outside, so the value of the variable name at this time is "lzl"; if you understand this, then you also know the answer to the ultimate code that the answer was not given just now
#终极版作用域 name = "lzl" def f1(): print(name) def f2(): name = "eric" f1() f2() # 输出:lzl
Yes, the output It is "lzl". Remember that before the function is executed, the scope has been formed and the scope chain has also been generated.
5. Sina interview questions
li = [lambda :x for x in range(10)]
Determine the type of li? What type are the elements in li?
print(type(li)) print(type(li[0])) # <class 'list'> # <class 'function'>
You can see that li is a list type and the elements in the list are functions. Then print the return value of the first element in the list. What is the return value at this time?
#lambada 面试题 li = [lambda :x for x in range(10)] res = li[0]() print(res) #输出:9
liThe return value of the first function is 9, not 0. Remember: the internal code will not be executed before the function is executed; you can practice the code in the blog by yourself to deepen your impression

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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