for e in collections: pass
In the for loop, the last object e always exists in the context. Even outside the loop, the subsequent reference to e is still valid.
There is a problem here that is easily overlooked. If an object with the same name already exists before the loop, this object will be overwritten.
If you are in a code-aware IDE, the IDE will prompt that the variable is "redeclared", but there will be no error when running.
The for loop is not a closure, you can use the dis module to decompose the following code as you can see:
x = 5 for x in range(10): pass print x
Save the code to the test.py file and run python -m dis test.py
C:UsersPatrickDesktop> python -m dis test.py 1 3 3 6 SETUP_LOOP 20 (to 29)
9 LOAD_NAME 1 (range)
12 LOAD_CONST 1 10 : 28 POP_BLOCK
6 >> 29 LOAD_NAME 0 (x)
32 PRINT_ITEM
33 PRINT_NEWLINE
34 LOAD_CONST 2 (None)
37 RETURN_VALUE
In other languages, the initialization variables of the for loop are also visible to the context, such as Java, because Java is a strongly typed language, if you re-declare an existing variable, the IDE will prompt an error, which of course is different from compilation.
Usually in python programming (probably most dynamic languages), sometimes even if a variable with the same name is declared, there is no obvious error in the program, but once an error occurs, it is difficult to find the error. So avoid having the same name as the variable in the for loop.
This is especially true when coding in the python template language. The code editor has no prompts and will not find out where the error is. This is an extremely weird example that I encountered. Why do you say weird, because there is no logical problem.
{{ page.name if page else ''}}
The problem is here, an error occurred during operation, the prompt is in {{ page.name if page else ''}}
The error page referenced before assignment.
During the template calling process, the template language is also translated into python bytecode and parsed and output line by line, so there is no logic at all. I don’t know if it is a bug in the tornado template language.
So pay attention to the variable names. In short, I think tornado’s exception trace is very unfriendly. The scope search order of variables in Python: local scope (Local) → local scope where the current scope is embedded (Enclosing locals) → global/module scope (Global) → built-in scope (Built-in)

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.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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