This article mainly introduces how to deal with the cross-domain request error problem of python's bottle framework. Friends who need it can refer to it. When developing with python's bottle framework, when the front-end uses ajax for cross-domain access, the js code always fails. It cannot enter success, but enters error, and the returned status is 200. It is normal to access the URL directly in the browser. After pressing F12 in the browser, you will find the following error message XMLHttpRequest cannot load http://192.168.0.118:8081/get_mobile_number/?id=1. No 'Access-Control-Allow-Origin ' header is present on the requested resource. Origin 'null' is therefore not allowed access. If you query the error through the search engine, you will find that you can almost find
##Introduction: This article mainly introduces the bottle about python Friends who need to know how to handle cross-domain request error problems in the framework can refer to the following
2. Python uses the Bottle framework for web development
#Introduction: This article mainly introduces relevant information about Python using Bottle lightweight framework for web development. Friends in need can refer to it
3. Use beaker to make Facebook's Bottle framework support the session function
Introduction: This article mainly introduces the use of beaker Let Facebook's Bottle framework support the session function. Session is built in Python's Django and other frameworks but has not been integrated in Bottle. Friends who need it can refer to
4. Tutorial on how to implement the most basic get and post methods in Python's Bottle framework
Introduction: This article mainly introduces the most basic get and post methods in Python's Bottle framework Tutorial on the post method. The Bottle framework is very popular among Python developers. Friends who need it can refer to
5. Python's Bottle framework returns static files and Methods of JSON objects
Introduction: This article mainly introduces the methods of returning static files and JSON objects in Python’s Bottle framework. The Bottle framework has a lot of influence among Python developers. High popularity, friends in need can refer to
6. Use Python's decorator to solve user verification problems in the Bottle framework
Introduction: This article mainly introduces the solution to user verification problems in Python's Bottle framework. The code is based on the Python2.x version. Friends in need can refer to
##7.Tutorial on obtaining and setting cookies in Python's Bottle framework
Introduction: This article mainly introduces the tutorial on obtaining and setting cookies in Python's Bottle framework, mainly for others The path instead of the cookie of the current page, friends who need it can refer to8.
Example of using WeChat API in Python's Bottle framework
Introduction: This article mainly introduces examples of using WeChat API in Python's Bottle framework. The author also provides a generated QR code image that can be scanned by WeChat. Friends who need it You can refer to9.
A brief introduction to Python’s lightweight web framework Bottle
Introduction: This article mainly introduces Python's lightweight web framework Bottle is introduced. Because of its focus on lightweight design, like Flask, the popularity of the Bottle framework is also very high. Friends in need can refer to##10.
Introduction to some usage techniques of Python's Bottle frameworkIntroduction: This article mainly introduces some usage techniques of Python's Bottle framework. The article uses code examples to introduce these techniques. For the features used, friends in need can refer to
The above is the detailed content of Summarize the points to note about the bottle framework. For more information, please follow other related articles on the PHP Chinese website!

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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