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This article introduces the relevant knowledge of "what are the learning stages of Python development engineers?" in the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Several stages of Python Learning

1. Understand the programming foundation of Python

First, variables, programming specifications, basic syntax, etc., which is also the premise of being able to write Python code.

Second, the data structure, strings, lists, dictionaries, tuples these need to be very skilled, data types will run through your entire programming.

Some simple exercises in this part are to construct a data type yourself and then implement the basic usage. For example, you construct a list to access, update and delete data in the list, such as len (), max (), min () functions, and append (), count (), extend () methods.

Functions and methods are the basic ways to add, delete, modify and query data. If you encounter problems with data operation in actual operation, you can find relevant usage under specific data types.

2. Python function and flow control

Learning the functions and control statements of Python is a real problem-solving process. How to judge and follow the bad, and how to package the fixed functional modules into functions are not only the necessary conditions for writing code, but also the only way to train programming thinking.

This part of the function is nothing more than the definition of the function, function call and parameter transfer, but to be able to write the corresponding function skillfully, we need to pay attention to a lot of details, but also need constant training.

Process control is relatively easier to master, conditional statements and bad sentences in different scenarios to practice several times, know the process of judgment and loop implementation, basically no problem.

In fact, to this place, you have mastered the basic knowledge of Python, you can do some small projects by yourself, such as guessing numbers, various converters, accounting tools.

3. Use Python to do something you are interested in

Usually after studying for a period of time, you will have the process of self-doubt, it seems that you really understand, but it is far from making practical things, are these things useful?

At this time, you might as well learn about some third-party libraries, you can do more things. For example, using pandas for data processing, using matplotlib for data visualization analysis, using BeautifulSoup to write crawlers, using Flask to build websites. You can just use these wheels built by others. Of course, like writing crawlers and websites, you also need to know something about other aspects (such as HTTP, HTML, JS, database, etc.).

For different libraries, you still need to be familiar with the internal methods and functions. At the beginning, you need to master a small number of the most commonly used methods, and then check the corresponding more usage when you encounter practical problems, which will be more efficient.

4. Some pitfalls that Python often encounters when doing things

1. It is difficult to find suitable and high-quality learning resources, difficult to start, or randomly find some materials to start learning, it is extremely easy to get started to give up.

two。 When you encounter a problem, you don't know how to find a solution, or even the problem is not clearly described. It is often stuck by some small problems, and the learning efficiency is not high.

3. Unable to extricate themselves from theoretical study, after studying for a long time, I found that I still don't know how to apply it in practical projects and lack the ability to solve problems.

4. It seems like that when I see other people's cases, but it's still difficult to write my own code, and I can't train my programming thinking.

5. Go deep into Python programming

In fact, the third stage of repeated practice, you already have some basic work skills, such as Python data analysis, web crawler, writing tool scripts.

First of all, you need to understand the advanced features of Python, such as iterators, generators, decorators, etc., and understand the concept of classes and object-oriented. Further, you can explore the implementation principle of Python, the performance optimization of Python, jump out of the Python language itself, to understand the principle of computer interaction, there is still a long way to go, but not everyone needs this process.

But these strategically advantageous things are also important conditions for you to gain a foothold in this field, and this process is necessary for those who firmly follow the technical direction. At this time, if you do something at the application level, you will have a deeper understanding.

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