Python is a programming language suitable for beginners. Now many programmers are learning Python in their spare time. Python has a wide range of applications. We can find Python in various positions in all walks of life. It can be said that Python is the most widely used programming language. In contrast, how to choose the direction of Python advanced learning improvement? Here, according to the popular Python jobs in the domestic recruitment market, I will meet the needs of enterprises and be employment-oriented, and provide you with 6 promotion directions to help you become a Python all-rounder!

Python full stack engineer

That is, from the realization of the front-end page, to the writing of the back-end code, to the management of the database, one person can handle all the affairs of a company's website and truly realize full-stack development.

The full stack is just a concept, and there are many types. Real full-stack engineers cover web development, DBA crawler, testing, operation and maintenance, and the content to be learned is quite huge. What needs to be learned in terms of Web development direction: front-end knowledge, including HTML5, CSS3, JS, Jquery, Ajax. The backend needs to be at least proficient with Django and Tornado, and of course Flask is better.

Python full-stack engineers are a relatively popular type of talent. The Python language itself has the ability to develop at full scale, so there are also many full-stack engineers in Python.

Reptile Engineer

The ultimate goal of a crawler is to provide data, and what a crawler engineer has to do is to write a program that automatically grabs and saves the obtained information. But unlike data analysis, crawler engineers generally grab data according to the needs of others, and they have nothing to do with mining the value of data.

Data Analysis & Data Mining

Data analysis engineers are responsible for extracting, cleaning, and analyzing data (using descriptive statistics, trend analysis, multi-dimensional analysis, hypothesis testing and other common statistical methods to analyze data), summarizing conclusions and making recommendations. to help companies make business decisions.

Artificial Intelligence & Machine Learning

Artificial intelligence is a field that is on fire right now, which makes the future of the Python language full of unlimited potential. Python is dynamic enough and has sufficient performance, which are the technical characteristics required by AI technology.

Python operation and maintenance automation

Python also has a place in the server operations segment. At present, almost all Linux distributions have their own Python interpreter, and using Python scripts for batch file deployment and running adjustment has become a very good choice on Linux servers.

While the traditional operation and maintenance market is gradually shrinking, more and more Internet companies have begun to advocate the DevOps culture. Many internal single operation and maintenance positions and development positions have achieved functional integration, forming a rapid and sustainable integration, deployment, agile development and platform-based collaboration model, thus realizing the development & operation and maintenance-integrated collaborative model, namely DevOps.

Test Engineer

Everyone knows that the Python language is very helpful for testing. The Python language is widely used in automated testing and can improve work efficiency. It can be said that Python is too powerful to master and be familiar with the automation process, methods and methods we always use. individual templates.

The above are the 6 directions of Python advancement. The best way to learn programming is to master it in actual combat. I hope everyone can digest it well and put it into practice. Are you ready to be a Python all-rounder?