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The main content of this article is to explain what position you can do after learning Python. Friends who are interested might as well take a look. The method introduced in this paper is simple, fast and practical. Next, let the editor take you to learn "what position can you engage in after learning Python"?

Friends who want to learn from Python must have heard a lot about the direction of Python employment. What kind of work can you do after the completion of your study? What are the specific jobs related to Python? With questions, let's take an in-depth look at the employment prospects of Python.

First of all, let's learn about the employment area of Python through the features of Python:

1, web development: Python has a very perfect library to interact with web servers, a large number of free web page templates, compared with more advantages, but also has a very excellent Django framework, complete functions. At present, domestic Douban network, fruit shell network, foreign Google, YouTube and so on all use Python as part of the function development.

2. System operation and maintenance: in the work of operation and maintenance, there are a lot of repetitive work, and need to do management system, monitoring system, release system and so on. Shell scripts are used to automate operations a long time ago, but the programming ability of shell is relatively weak, and there are few functional libraries that can be realized. Python, as a glue language, can be integrated and various tools can be redeveloped.

3. Game development: Python has a good 3D rendering library and game development framework, and there are many games developed using Python, such as Disney Toon City and Dark Blade. Because of the advantages of Python scripting, it is similar to the game script, which is more flexible in logic and very convenient to modify. Pygame is very famous among them.

4, crawler work: in the crawler work, Python is the exclusive advantage, Python has a very rich library, can access the document interface, but also can carry out better post-processing.

5. Desktop software: in the field of desktop development of Windows system, Python can seamlessly interface with cymbal desktop, supporting Qt and GTK.

6. Data analysis: Python is widely used in science and digital computing, such as bioinformatics, physics, architecture, geographic information system, image visualization analysis, life science, etc., commonly used numpy, SciPy, Biopython, SunPy and so on.

7. Artificial intelligence: the preferred language of Python artificial intelligence. Python is used because the integration of CPython and underlying reasons makes it more convenient to develop.

Let's talk about the specific jobs of Python and its job requirements:

Python background development engineer: mainly responsible for building and improving the background of the platform products, and cooperate with the front-end development engineers to complete the overall product development work. Engineers are required to have at least one Python Web development framework (Tornado, Django, Flask, etc.) and to understand and be familiar with MySQL/Redis/MongoDB. Also familiar with the development of distributed, micro-services, and high-performance Web services.

Python crawler development engineer: the crawler development engineer is not what we expected, but is responsible for crawling the corresponding data content for the company. Crawler development engineers are mainly responsible for efficient collection and correct analysis of information from traditional web pages, SNS, Weibo and other websites, then collate and analyze user data, participate in the construction of modeling, summarize and analyze the structural characteristics and rules of different websites and web pages, be responsible for crawler architecture design and research, and participate in crawler core algorithm and strategy optimization research. Development engineers are required to be familiar with robot rules, selenium, mitmproxy, pymouse, etc. Of course, as a crawler development engineer must have a certain professional situation, all the work needs to be carried out under reasonable and legal needs.

Python full-stack development engineer: refers to the use of Python-related tools to independently complete website development, called full-stack development. Full-stack development engineers need to master a lot of skills, including: project management, front-end development, interface design, product design, database development, multi-end products and so on.

Automatic operation and maintenance engineer: on the basis of the basic operation and maintenance work, realize the automation of operation and maintenance work, and optimize and improve the automation program. Practitioners are required to master IPy, Ansible, Saltstack and other common modules in Python on the premise of mastering the basic operation work.

Automated test engineer: the most important thing is to complete the basic work of testing, including test plan, test case, black box test, performance test and so on. Secondly, if you complete the deployment and maintenance of automated testing of the product, and constantly try new methods and new tools to improve the efficiency of testing. Skills related to Python and selenium are required.

Data analyst: refers to professionals in different industries who specialize in industry data collection, collation, analysis, and make industry research, evaluation and prediction based on the data. Practitioners need to understand the relevant business knowledge of the industry, related management work, master enough data analysis methods, understand the use of data analysis tools, be able to complete data analysis modeling, etc., the work focuses on analysis, but also to master certain development capabilities, such as R language and Python language.

Data analysis and development engineer: complete data-related development work according to the modeling of data analyst, build warehouse, complete data storage, data processing, calculation processing and report development, etc. Practitioners are required to be proficient in the application of database, data modeling and development, Python-related data science knowledge and other skills.

Artificial intelligence development engineer: according to the enterprise artificial intelligence AI related development requirements, complete the corresponding product or function development. Practitioners need to master a series of related development skills, such as data theory foundation, Python development foundation, machine learning theory and practice, deep learning theory and practice, natural language processing and so on.

Python game development engineer: mainly responsible for the logic development of the game server. Practitioners are required to master various performance optimization methods of Python, knowledge of soket network programming, basic knowledge of operation and maintenance, and game development libraries and frameworks related to Python.

In addition, Python development related work can be divided into junior Python development engineer, intermediate Python development engineer, senior Python development engineer, project manager, architect, CTO and so on. It is mainly based on the practitioner's working years, work experience in a certain direction of employment and the ability to solve problems.

No matter which employment direction it is, solid learning of Python-related knowledge is the top priority. In the Internet industry, whether large companies or entrepreneurial and innovative companies, the core requirement of recruiting talents is technical ability. Only when their abilities and positions match, can they get more job opportunities.

At this point, I believe you have a deeper understanding of "what position you can engage in after learning Python". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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