Why does Python play the leading language in the AI age?

Why does Python play the leading language in the AI age?

Who will become the first development language in the AI and Big Data age?

This is an issue that does not need to be discussed. If Matlab, Scala, R, Java, and Python had their own opportunities three years ago, and the situation was still unclear, the trend would have been quite clear three years later, in particular, since Facebook opened up PyTorch two days ago, the position of Python as the top card language in the AI era has been basically established. The suspense in the future is just who can sit down and take the lead.

However, there are still some noises in the voice market. Recently, a girl interested in studying data science told me that one of her friends suggested that she start with Java because Hadoop and other big data infrastructure are written in Java.

Coincidentally, a personal blog published last month on IBM developerWorks used data on the position recruitment website indeed for statistics.

This article is true and objective, but it has been misinterpreted by some reviewers since it was published in China. It is said that the advantages of Python have not yet been established, and it is unknown who is dead, all Learners should not blindly follow the trend. Therefore, do not stop spreading pepper.

Here, I want to clarify the individual States. For developers who want to join the AI and Big Data industries, putting eggs in the Python basket is not only safe, but also necessary.

Or in another way, if you want to mix up in this industry in the future, you don't need to think about anything. First, close your eyes and learn Python.

Of course, Python does not have its own problems and shortcomings. You may have another or even several languages to match with Python. However, Python will remain stable in data analysis and the position of AI's first language, there is no doubt about this.

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