Shulou(Shulou.com)06/03 Report--

This article mainly explains "what you need to pay attention to in the process of self-learning Python". The content in the article is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn what you need to pay attention to in the process of self-study Python.

First of all, for those who have the foundation of Java programming, they will not encounter much obstacles in the initial stage of learning Python, but they should make learning plans according to their own development plans, especially pay attention to the choice of learning direction.

Both Java and Python are typical full-scene programming languages. Compared with Java, Python is more widely used in the field of big data and artificial intelligence, and big data and artificial intelligence will release a large number of innovation opportunities in the future, so it is a good choice to develop into big data and artificial intelligence.

Beginners of Python can make study plans according to the direction of big data. On the one hand, there are many jobs in big data, and the demand for talent types is also diversified. On the other hand, learning big data can also lay the foundation for learning artificial intelligence, and it can also develop into the field of artificial intelligence in the future.

At present, big data has more development posts in the field, and in the process of the gradual landing of the industrial Internet, the demand for big data development posts will be further released. Learning big data development needs to go through three stages, one is the learning of programming language, the second is the learning of big data platform, and the third is the learning of industry application scenarios.

For people with Java programming foundation, learning the basic syntax of Python language is often relatively smooth, but learning big data platform usually requires a systematic process, and needs to assist a large number of experiments. The current study of big data platform, you can start from Hadoop, Spark, related learning materials are also more, there are also a large number of cases to refer to.

Finally, if you want to accumulate certain industry scene knowledge, it is best to have a communication environment, and in the process of learning big data's development, you should also use and learn with practical scenarios, so you can find an internship position, or with the help of the Internet, to open up more communication and practice channels for yourself.

Thank you for your reading, the above is the content of "what you need to pay attention to in the process of self-study Python". After the study of this article, I believe you have a deeper understanding of what you need to pay attention to in the process of self-study Python, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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