Many Python newbies often ask whether they need to learn Linux to learn Python? Doesn’t Python support Windows and Linux operating systems? Why learn Linux when you can develop under Windows?
Friends who ask this question may not have really started Python development or have not really participated in some of the company's project deployment and launch processes. For the above questions, the preferred answer is yes. Python development can be developed under Windows. , but Linux learning is still necessary.
Online servers are generally
Generally in production environments, servers are basically Linux, such as centos, Red Hat, ubuntu and other Linux systems. Why are most servers using linxu? For example, one of them must be security. We have heard that Windows often crashes, and people who are invaded by ransomware viruses have to pay Bitcoin, but these do not happen often under Linux. There are many other reasons that can be found online, so the Python scripts in the production environment are It is deployed on the Linux system, but when developing, considering the convenience of operation, Windows or Mac not only have a graphical interface, but also have better performance, and the operation is easier and faster. After all, anyone who has used Ubuntu knows that, Installing a virtual machine still requires certain computer performance. If the computer configuration cannot keep up, it will be very laggy when using Ubuntu. Generally, server-level systems have a character-based interface, which is the legendary black screen. If you It is possible to develop on a Linux server, but it is more troublesome and requires high coding level and operational proficiency.
Deployment
Online deployment often encounters the problem of debugging the code after deploying it to the server. Generally, during the debugging process, developers will frequently switch directories back and forth, search for files, and use VI is used to modify the code. These regular operations are all necessary skills for a Python development engineer. VI also uses various Linux commands. This is convenient and direct. There is no need to transfer the code offline, and then transfer it to the server after modification. Those hackers all operate directly under Linux commands, because if they want to attack and modify the other party's server code data, they must understand all operations under Linux, and for hackers, using commands is more efficient than the graphical interface
Linux is more convenient
Linux is more convenient for developers. You have the highest authority in the Linux system, and you can choose various configurations and tools. However, under Windows, The changes you can make to the system are relatively cumbersome. Using Linux, the modification of various configuration files only requires a few commands, and the installation of tools only requires a few commands. If you modify the configuration under Windows, you may need to look for the file everywhere, which is also a shortcoming of the graphical interface.
To summarize, the Python language can also be learned and developed under Windows, but it is more convenient under Linux. For example, if you want to use Python to develop a website (the popular and mature Python Web framework today), you need to use the Linux platform. After all, the Linux platform is more commonly used to build such a website; secondly, if you want to use a Python crawler to crawl data, It is also more convenient on the Linux system; also, if you want to learn network security penetration testing, it is also necessary to write Python automated test scripts on Linux.
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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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