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Is python good for employment?
At present, Python has many applications, including Web, crawler, data analysis, testing, operation and maintenance, image recognition, machine learning, deep learning and so on. Taking the test field as an example, it is quite common to write automated test scripts in Python, whether it is UI automation or interface automation.
Look at Python's salary level first.
In fact, as shown in the figure, Python's general salary is not low. Relatively speaking, wages in first-tier cities will be higher.
So what is the employment situation of Python development for second-tier cities like Changsha? In recent years, the demand for Python development talents in Wuhan has gradually increased, although it is relatively small compared with first-tier cities. But in general, Python practitioners will be required to have higher technical level and more skills. According to the data of professional friends, the average salary of Python development engineers in Beijing in 2023 was 22,900 yuan, much higher than other industries.
In addition to second-tier cities, the demand for Python personnel in third-tier cities is gradually increasing.
Is Python development easy to find? This is also a problem that many people are worried about!
In fact, don't worry, this is the recruitment information of Python development work that I casually searched on the direct employment of Boss. Open the search bar and search Python's recruitment information is enough to make you picky.
Generally speaking, learning Python is beneficial and harmless, and employment is not a problem at all. No matter which direction you take in the end, it is very promising. Python has a bright future and a wide range of applications, but the demand for talents in Python is very short. Now is a good time to catch up with Python.
However, this is only the current situation, and the more people will be engaged in Python in the future. If you are interested in Python, take a ride with Python as soon as possible.
At the same time, learning should not be blind and impatient. We must find the right method, step by step, lay a solid foundation and integrate theory with practice. Only in this way can you go further and further and climb higher in Python in the future.
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