Python syntax is simple, powerful, very easy to read the code, is ideal for people just getting started to learn. Many people want to know what the current good Python employment is not good, to engage in data analysis related to jobs? Then give us analyze this problem.
At present good employment Python bad?
From Zhaopin, saw net, pull hook network, future worries, ChinaHR data and other job sites shows that with continued hot Python language Python and technical personnel for the enterprise demand is also increasing - the average daily demand even up to the amount of 15,000 +, north of Guangzhou-Shenzhen and other cities demand is a huge number.
Friends of duty set statistics show that the national average monthly Python engineers capital of 19,160 yuan, of which the number of engineers 20-30K more than four percent.
Learning Python programmers, in addition to Python development engineer, senior engineer Python, Python automated testing, but also capable of moving in the direction of Python game development engineers, SEO engineers, Linux operation and maintenance engineers and other development, the development of a more diversified direction.
Learning Python can be engaged in data analysis related to jobs?
Python has numpy, matplotlib, scikit-learn, pandas, ipython other tools in scientific computing is very advantageous, especially pandas, in dealing with medium-sized data can be said to have a unique advantage, has become a mainstay of analysis data analysis tool.
Python has powerful programming capabilities, which is different from R, or MATLAB programming language, Python has a very powerful data analysis capabilities. In reptiles, writing games, and operation and maintenance of automation in areas such as Python also has a very wide range of applications, you can use one technology to solve all the problems of business services, fully embodies the Python favor of integration between the various businesses. If you use Python, can greatly improve the efficiency of data analysis.
Want Quick Start IT in data analysis, Python is a very good choice. But how can the high efficiency of learning it? I suggest you choose a professional study, full-face Daniel lecturer, project-driven, take you into the line Python industry.