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Are python recruitment requirements high?

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2019-06-12 15:36:232801browse

Are python recruitment requirements high?

If you learn Python, you can find jobs in backend development, data mining, machine learning, etc. Its power lies in its many third-party packages, which can be said to be a nearly omnipotent language. What are the Python recruitment requirements? The editor helped you find the recruitment requirements for Python development engineers (intermediate) in a company in Beijing on the Internet. I hope it will be helpful to you:

Job Responsibilities

1 .Responsible for the architecture design, program design, underlying construction, development and maintenance of the Web page data management center (CMS); 2. Responsible for the development, debugging and optimization of the data API interface program.

Job requirements

More than two years of Python web management system (CMS) development experience, software engineering or computer-related majors are preferred; 2. Proficient in Python programming, with a certain level of experience Programming experience; familiar with common design patterns, certain algorithms and logical thinking skills; 3. Proficient in common Python development frameworks (such as Scrapy/Twisted/Tornado/Django/web2py, etc.), proficient in MySQL database operations, data batch processing, and data synchronization; 4. Proficient in cloud server deployment/maintenance, operating environment setup, Linux script writing and daily maintenance and monitoring.

Python is usually not used independently. Nothing can be achieved using native Python syntax alone. It needs to be developed with different packages or frameworks based on the work content.

For example, python cooperates with django, flask and other frameworks for application background development, python cooperates with requests, urllib2, scrapy and other packages or frameworks for data mining, python cooperates with mininet, scipy and other packages for network research, such as sdn Or arp attacks, etc., python cooperates with deep learning frameworks such as tensorflow or natural language frameworks or gym reinforcement learning environment libraries to conduct research on machine learning or neural networks.

In short, python is a feature-rich and powerful glue language, but only by using a variety of libraries can the role of python be brought into full play.

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