


If we have two Django applications site1 and site2 running on different ports of the same server at the same time, and we log in from different tabs of the same browser. Then this happens. When we log in to site2, the users logged in on site1 will be kicked out.
Why does this happen? This is related to Django's session framework. Here is a brief introduction: When we visit a Django website for the first time, Django will generate a session to save some information about the current session. At the same time, a hash value session_key will be generated and a cookie will be generated and sent to the client. The name of this cookie is set according to the SESSION_COOKIE_NAME in the setting. The default is "sessionid" (emphasis added). In this way, the session_key will be sent to the server along with the cookie next time. The server searches for the corresponding session object based on session_key and obtains the information of the current session, including login information of course.
So there is only one truth to the above situation (Conan pushes the face with glasses):
When we log in to site1, we get a cookie called sessionid, which stores session_key1.
When we log in to site2, the cookie called sessionid will be updated. Now its value is session_key2 (the browser stores cookies based on IP instead of port, so the same name will be updated. cookies).
So now when we use the new session_key to access site1, we will not be able to get the original login information, and we need to log in again.
So how to solve it? After understanding the above mechanism, you only need to set SESSION_COOKIE_NAME in the setting. For example, you can set SESSION_COOKIE_NAME = ‘site2’ in site2, and use the default in site1. Of course, site1 and site2 can also be set at the same time.
For more detailed explanations on how to enable Django applications with different ports on the same server to be opened in the same browser, please pay attention to the PHP Chinese website for related articles!

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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