Recently, due to work needs, I need to use python to deploy some web services. Since I didn’t know much about python before, the learning process took a lot of time. Here, I will record my learning process for future inquiry. .
Under the recommendation of my seniors, the first thing I learned was uWSGI.
To start, just understand that uWSGI is a Web server, which implements the WSGI protocol, uwsgi, http and other protocols. Regarding the specific content of those protocols with similar names, we will slowly learn more about them in the future. .
Okay, the first step is to install uWSGI. This is very simple, just install it with pip.
Then, we can start writing our first web service: Hello World!. Create a new python file as follows:
#!/usr/bin/pythonimport osimport sysdef application(environ, start_response): status = '200'output = 'Hello World!'response_headers = [('Content-type', 'text/plain'), ('Content-Length', str(len(output)))] start_response(status, response_headers)return [output]
The simplest uWSGI program only needs to implement a function named application. This function has two Parameters, environ is the environment variable containing the http request, and start_response is a function used to set the http header. In this function, we only need to call the start_response function once, set the HTTP return header, and then return an HTTP body.
Finally, start and run our small program to see the results uwsgi --http 172.31.11.141:10092 --file test.py

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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