Python, PHP and other programming languages have their own advantages and disadvantages. Their popularity depends on whether they cater to the development of the times. Different programming languages have different characteristics and are suitable for different scenarios!
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Python is a computer programming language. It is a dynamic, object-oriented scripting language that was originally designed for writing automated scripts (shells). With the continuous updates of the version and the addition of new language features, it is increasingly used for independent and large-scale projects. development.
Python is an interpreted scripting language that can be used in the following fields:
1. Web and Internet development
2. Scientific computing and Statistics
3.Education
4.Desktop interface development
5.Software development
6.Backend development
Advantages: Simple, easy to learn, fast, free, open source, high-level language, portability, interpretability, object-oriented, scalability, embeddability, rich libraries, standardized code.
Disadvantages: Single-line statement and command line output problems, unique syntax, slow running speed (here refers to compared with C and C)
PHP (Foreign name: PHP: Hypertext Preprocessor, Chinese name: "Hypertext Preprocessor") is a general open source scripting language. The syntax absorbs the characteristics of C language, Java and Perl, which is easy to learn and widely used. It is mainly suitable for the field of Web development. PHP's unique syntax mixes C, Java, Perl, and PHP's own syntax. It can execute dynamic web pages faster than CGI or Perl.
Compared with other programming languages, dynamic pages made with PHP embed the program into the HTML (an application under the standard universal markup language) document for execution, and the execution efficiency is higher than that of completely generating HTML tags. CGI is much higher; PHP can also execute compiled code. Compilation can achieve encryption and optimize code running, making the code run faster.
PHP is a general open source scripting language that can be used in the following fields:
1. Development of small and medium-sized websites;
2. Large-scale Display of business logic results of the website;
3. WEB office management system;
4. GUI of hardware management and control software;
5. E-commerce application;
6. Web application system development;
7. Multimedia system development;
8. Enterprise-level application development.
Advantages: Open source code, free, fast, cross-platform, high efficiency, image processing, object-oriented, professional and focused (PHP mainly supports scripting languages, the same C-like language)
For newcomers who are hesitant to learn PHP and Python, if you want to learn programming technology, it is recommended to learn python. If you want to launch a website as soon as possible, I recommend learning PHP!
Related free learning recommendations: python video tutorial
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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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