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 is because in Python There is no block-level scope in the code block. The variables in the code block can be called externally, so they can run successfully;
2. Local scope
Looking back at the knowledge learned before, when we learn functions, functions are Separate scope, there is no block-level scope in Python, but there is local scope; look at the following code
#局部作用域 def func(): name = "lzl" print(name)
Run this code and think about whether there will 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 see what the result is?
#局部作用域 def func(): name = "lzl" func() #执行函数 print(name)
Added a line of code to the previous code. Before the variable name is printed, a function is executed. 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; remember the first two knowledge points, and start next Enlarging the trick
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 studied functions, you must know that f1() will output Snor after execution. 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 to find it yourself. I didn’t go to the superiors to look for it until I couldn’t find it and reported an error
4. Ultimate version scope
Okay, enough 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 the last f2 () Does the execution result 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 the memory address of function f1. That is, 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. If there are no variables inside the function, it will Look outside, so the value of the variable name is "lzl" at this time; 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()
# Output: lzl
Yes, 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 question
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 interview question
li = [lambda :x for x in range(10)] res = li[0]() print(res)
#Output: 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 Practice and deepen your impression

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.

Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.

Whether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.

Python is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.


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