Python is a very good programming language, and many people are learning it. So what kind of work can you do after learning Python? Let me summarize it for you.
1. Software development. Using python to make software is a job that many people are engaged in. Whether it is B/S software or C/S software, they can do it. And the demand is still quite large.
2. Data mining, Python can make excellent crawler tools for data mining, and there are many data mining positions in many Internet companies.
3. Game development, python is very scalable and has a library for game development, and game development is definitely a violent profession
4. Big data analysis, today is the era of big data, use It is also possible to do big data with Python, and big data analysis engineers are also hot positions
5. Full-stack engineer. Nowadays, programmers are developing in the direction of full-stack, and learning Python has more advantages in this regard
6. System operation and maintenance. Python is supported in many Linux systems, and its syntax is very similar to shell scripts. It is also very good to become a system operation and maintenance person after learning Python.
7. Web crawler engineer
As a powerful tool for data collection, web crawlers are very useful as the source of data in the era of big data. Using Python can quickly improve the accuracy and speed of data capture, which is a blessing for data analysts. Through web crawlers, BOSS no longer has to worry that you have no data. The salary of a crawler engineer starts at 20K. Of course, because of big data, the salary will also rise all the way.
Extended information:
Python Introduction:
Python is a high-level combination Interpreted, compiled, interactive and object-oriented scripting language.
Python is designed to be highly readable. Compared with other languages, it often uses English keywords and some punctuation marks in other languages. It has a more distinctive grammatical structure than other languages.
Python is an interpreted language: This means that there is no compilation link in the development process. Similar to PHP and Perl languages.
Python is an interactive language: This means that you can execute code directly from a Python prompt >>> .
Python is an object-oriented language: This means that Python supports object-oriented style or programming techniques in which code is encapsulated in objects.
Python is a Beginner's Language: Python is a great language for beginning programmers, supporting a wide range of application development, from simple word processing to WWW browsers to games.
Python Features:
1. Easy to learn: Python has relatively few keywords, a simple structure, and a well-defined syntax, making it easier to learn.
2. Easy to read: Python code is more clearly defined.
3. Easy to maintain: The success of Python is that its source code is quite easy to maintain.
4. An extensive standard library: One of Python’s biggest advantages is its rich library, which is cross-platform and compatible with UNIX, Windows and Macintosh.
5. Interactive mode: Interactive mode support, you can enter the language to execute the code from the terminal and get the results, interactive testing and debugging code snippets.
6. Portable: Based on its open source nature, Python has been ported (that is, made to work) to many platforms.
7. Extensible: If you need a critical piece of code that runs very fast, or want to write some algorithms that you don’t want to open up, you can use C or C to complete that part of the program, and then start it from your Python called in the program.
8. Database: Python provides interfaces to all major commercial databases.
9.GUI programming: Python supports GUIs that can be created and ported to many system calls.
10. Embeddable: You can embed Python into a C/C program, allowing users of your program to gain "scripting" capabilities.
For more Python related technical articles, please visit the Python Tutorial column to learn!
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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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