First, artificial intelligence
Python is the golden language of artificial intelligence, and it is natural to choose artificial intelligence as the employment direction, and the employment prospects are good, and the salary is generally high. On Lagou.com, the starting salary of artificial intelligence engineers is generally 2K-35K K. Of course, if they are junior engineers, the starting salary has already exceeded 12,5 yuan/month.
second, big data
we are currently in the era of big data, and Python is more efficient than Java in big data. Although big data is difficult to learn, Python can better connect with big data, and the salary for doing big data with Python is at least 2K. Big data continues to be popular, and the salary of big data engineers will gradually increase in the future.
Third, the network crawler engineer
As a sharp weapon of data collection, the network crawler is very useful as the source of data in the era of big data. Using Python can improve the accuracy and speed of data capture faster, which is the well-being of data analysts. Through web crawlers, BOSS no longer has to worry that you have no data. The salary of being a reptile engineer starts at 2 K. Of course, because of big data, the salary will also rise all the way.
iv. Python web Full-stack Engineer
A Full-stack Engineer refers to a person who has mastered various skills and can independently complete products with various skills. Also known as full-end engineer (with both front-end and back-end capabilities), English Full Stack developer. Full-stack engineers are all talents in any language, and the salary of Python web full-stack engineers is basically 2K higher, so if you have enough ability, Pythonweb full-stack engineers are the first choice.
V. Python automatic operation and maintenance
Operation and maintenance workers have a great demand for Python, so let's act quickly. Learning Python automatic operation and maintenance can also get a salary of 1k-15k, which is very good.
VI. Python Automated Testing
Python is a very efficient language. As long as it is related to automation, it can play a huge advantage. At present, most workers who do automated testing need to learn Python to help improve the testing efficiency.