Indentation
The most distinctive feature of Python is the use of indentation to mark blocks of code. I will use the if selection structure as an example below. If is followed by a condition, and if the condition is true, a code block belonging to the if is executed.
Let’s first look at the expression in C language (note, this is C, not Python!)
if ( i > 0 ) { x = 1; y = 2; }
If i > 0, we will perform the two assignment operations included in the brackets. What is contained in the parentheses is the block operation, which belongs to if.
In Python, for the same purpose, this passage looks like this
if i > 0: x = 1 y = 2
In Python, the brackets around i > 0 are removed, and the semicolon at the end of each statement is removed to indicate the block. The curly braces are also gone.
There is an extra: (colon) after if..., and there are four spaces indent before x = 1 and y =2. Through indentation, Python recognizes that these two statements belong to if.
The reason why Python is designed this way is purely for the program to look good.
if statement
Write a complete program and name it ifDemo.py. This program is used to implement the if structure.
i = 1 x = 1 if i > 0: x = x+1 print x
$python ifDemo.py # When running the
program to if, the condition is True, so x = x+1, is executed.
The print x statement is not indented, so it is outside the if.
If the first sentence is changed to i = -1, then if encounters a false value (False), x = x+1 belongs to if, and this sentence is skipped. print x has no indentation, is outside if, does not skip, and continues execution.
This writing method of using four spaces indentation to indicate affiliation will be seen again in the future. Forced indentation enhances program readability.
A more complex if selection:
i = 1 if i > 0: print 'positive i' i = i + 1 elif i == 0: print 'i is 0' i = i * 10 else: print 'negative i' i = i - 1 print 'new i:',i
There are three blocks here, which are led by if, elif, and else.
Python detects conditions. If the condition of if is found to be false, skip the following block and detect the condition of the next elif; if it is still false, execute the else block.
The program is divided into three branches through the above structure. The program only executes one of the three branches based on conditions.
The entire if can be placed in another if statement, that is, the nested use of the if structure:
i = 5 if i > 1: print 'i bigger than 1' print 'good' if i > 2: print 'i bigger than 2' print 'even better'
if i > 2 The following block is indented four spaces relative to the if to indicate its Belongs to this if, not the outer if.
Summary
The colon after the if statement
is indented with four spaces to indicate the affiliation. In Python, you cannot indent at will
if <条件1>: statement elif <条件2>: statement elif <条件3>: statement else: statement

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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