Is it difficult to learn python?

First of all, learning Python is a good choice for beginners. On the one hand, the syntax of the Python language is relatively simple and easy to learn. On the other hand, the Python experimental environment is also relatively easy to set up.

#The time it takes to learn Python depends on three factors. (Recommended learning: Python video tutorial)

One is whether the learner has certain basic computer knowledge.

The second is that different learning directions require different learning time.

The third is that different levels of mastery require different times.

If the learner has a certain computer foundation, it is relatively easy to learn the basic grammar part of the Python language. It usually takes about a week to master the basic Python grammar, and then use 2 to 3 weeks of Time to complete a few experiments is usually enough. If the foundation is relatively weak, or you simply don’t have any computer foundation, then it will not be too difficult to learn the basic syntax of Python, but the learning time will be extended to a certain extent. Under normal circumstances, it will take 6 to 8 weeks to master the basic syntax, and Complete some simple experiments.

If you study Web development, you also need to learn certain front-end development content (Html, CSS and JavaScript) and Django library, and you also need to master database knowledge. For beginners, it usually takes about 3 months to meet the internship requirements for development positions.

If you study the direction of big data, you need to have a certain mathematical foundation (linear algebra, probability theory, etc.), and you need to learn Numpy, Matplotlib, Scipy, pandas and other libraries. If everything goes well, you can reach the internship in about 3 months. Position requirements.

Learning the direction of big data usually requires learning how to collect data first, usually learning how to develop a "crawler" first, and then learning data analysis. In addition, the process of learning big data analysis will also include learning about machine learning, because machine learning is one of the common methods of data analysis at present.

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