What do python engineers need to know? What skills are needed?
1. Python software development basics
1.Linux operating system
2.Docker basics
3.Python basic syntax
4.Python string parsing
5.Python regular expression
6.Python file operation
7.Python module
8.Python exceptions
9.python GUI programming
10.Python time and calendar
Mastering skills
1. Master the composition and working principles of computers
2. Be able to use common Linux tools
3. Be proficient in using basic commands of Docker
4. Establish a Python development environment and use print Output
5. Use Python to complete various operations on strings
6. Use Python re module for programming
7. Use Python to create, access, and delete files
8. Master the import statement, From...import statement, From...import* statement, method references, and packages in Python
2. Basics of Python software development
1.Python object-oriented
2.Database
3.Python network programming
4.Multi-process, multi-thread
5 .Python functional programming
6. Errors, debugging and testing
Mastering skills
1. Ability to develop software using Python object-oriented methods
2. Be able to create databases and tables by yourself, and perform basic database operations
3. Master the use of non-relational database MongoDB and master Redis development.
4. Ability to independently develop TCP/UDP server client software, implement ftp, http servers, and develop email sending and receiving software.
5. Ability to develop multi-process and multi-thread software.
3.Python full stack WEB engineer
1.WEB back-end software engineer
2.WEB front-end software engineer
Master skills
1. Be able to independently complete back-end software development and have a deep understanding of the essence of back-end development in Python.
2. Be able to independently complete the development of front-end software and integrate it with the back-end, and be proficient in using Python for full-site WEB development.
4. Python multi-domain development
1.Python crawler engineer
2.Big data analysis engineer
3.Manual Intelligent engineer
4. Design patterns and algorithms
5. Software engineering
Master skills
1. Be able to use Python proficiently Write crawler software.
2. Be able to skillfully use Python libraries for data analysis.
3. Recruitment website Python recruitment position data crawling analysis
4. Master the use of Python open source artificial intelligence framework for artificial intelligence software development, speech recognition, and face recognition
5. Master basic design patterns and commonly used algorithms
6. Master the basic methods of software engineering, project management, project documentation, and software testing and tuning
Related recommendations: "Python Tutorial》
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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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