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What kind of work can you do if you learn python?

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2019-06-25 13:25:268817browse

What kind of work can you do if you learn python?

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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