


Many friends will say that I have friends or classmates who are programmers. But in fact, many people don't understand their specific work content. With the emergence of some film and television works in recent years, some of the starring actors in them are working as development engineers, and everyone has an initial impression.
#If I don’t want to work in a company, how can I make money by using this skill? (Recommended learning: Python video tutorial)
First of all, in the web field, you can use Python for development. Python can be used for websites, APPs, and small programs. Do. You can do some web outsourcing projects at home through some Zhubajie.com and part-time programmer websites.
For example: Help a supermarket to develop a management system, help some local small businesses to create an official promotional website, help some wholesalers to create a small program or website, and help some companies to create a small program or website. APP
Of course, the premise is that your self-study skills must be excellent. You can sort out the knowledge points you have learned and put the good projects you have done online so that people who want to outsource can find you and recognize your work. strength. Commonly used background frameworks in the web field: Django, Flask, Tornado. And database: mysql, redis
The advantage of learning Python is that because Python is a glue language, it has many practical aspects. Python crawler is also a very good direction. If you don’t go to work, Crawler skills allow you to find more part-time projects online.
With the rapid development of modern society, many consulting companies need to rely on data for analysis. Sometimes consulting companies do not have rich data in a certain industry, so they need to purchase it, or ask a crawler engineer to help crawl a certain industry. According to the data, there have been particularly many outsourcing projects in this area in recent years. Crawler engineers connect with too many industries, sometimes with local statistics bureaus or real estate developers. We crawler engineers can crawl all the data needed by almost all walks of life. Data is the basis of artificial intelligence, so it is very easy for crawler engineers to receive some outsourcing projects (crawling data on the Internet) that they do themselves.
For example: Consulting company data crawling project, Data projects of government statistical agencies, survey companies, data analysis companies, crawling of content resources required by some media organizations, rankings of some companies...
Python can do automated operation and maintenance , helping some companies manage server clusters on Linux. Many companies' projects are not particularly large. Sometimes they will not find an operation and maintenance engineer specifically, but will find an operation and maintenance engineer part-time online to take care of the server.
In the field of data analysis, some part-time projects should pay more. Industries suitable for data analysis, analysis of investment and financial management in the financial industry, and diagnosis of a certain industry all require data analysis. Data analysis is also widely used in the medical industry to help diagnose some diseases. There are also many part-time projects in these industries. You only need to use the data analysis knowledge you have learned to complete the project based on the existing data.
For more Python related technical articles, please visit the Python Tutorial column to learn!
The above is the detailed content of What part-time jobs can you do if you learn Python by yourself?. 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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