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

Now Python is of many uses and has been learned by many people, so its popularity is needless to say. But many people have encountered problems when learning Python, especially for non-computer majors.

There are many tutorials now, but most of them are not friendly to beginners. In order to seek perfection, many tutorials put out all the contents that are not commonly used and that beginners will not come into contact with from beginners to give up, thus increasing the burden of learning; or they are for people with a foundation, and many places are vague. I can't do it step by step. I was cheated many times when I was studying, so I wanted to write a series of readers who were aimed at beginners and didn't even have much contact with computers. It is hoped that people who read the tutorial can practice step by step.

However, learning any technology should have a certain understanding, although Python claims to be easy to learn, it is relative. Learn a language without knocking it, even if you look at it for nothing. People with good skills have always been the ones who use the most hands.

There are not many shortcuts to language learning and more practice is needed. I hope that when reading this tutorial, readers will not only read it, but also practice it.

You may not have strong logical thinking, you may not have enough mathematical knowledge, or you may not be able to write good algorithms, but it doesn't matter. The important thing is to learn how to use the use and usage of API (functions or methods) in libraries provided by others. I think the language is like the various testing tools used. I don't have to think about the underlying implementation, I just have to think about how to use it. Don't add too many difficulties to your learning, what on earth are you going to do when you learn a language? Do automated testing or write operating systems?

Perhaps some people will retort, do not understand the principles of language, do not understand data structures, do not understand algorithms, do not understand. It makes no sense for you to learn a language. If you really want to know these before you can learn a language, I believe that more than half of the developers are unqualified.

There is a saying that I think is right: if you don't want to be perfect, let things start first, and then perfect it.

If you pursue too much at the beginning, then you should answer the classic words: from getting started to giving up. And I think most people may give up before they touch the threshold.

In fact, my purpose of writing this tutorial is to tell you to learn enough knowledge first, and then write some interesting gadgets. Let your study be able to see results, which will greatly promote your interest in learning.

Learning does not rely on perseverance, learning by perseverance will not last for a long time, because there are few perseverance people in this world. Learning depends on positive feedback, which comes from the sense of achievement you experience in the process of learning. You write an automated script and watch the automated script automatically click, enter and assert that there is a sense of achievement; you write a crawler to climb your favorite pictures on a website and watch the generation of pictures on your hard drive. This is also a sense of achievement. These feelings of achievement can give you constant positive feedback, so you have the motivation to keep learning. In the teaching process, I have been recommended to write about web crawlers, which is easier to get this positive feedback. At the same time, web crawlers share common technical points with automated testing and interface testing.

And you are too obsessed with the principle, too much about perfection, you will find that your study is impossible.

In the process of learning Python, in my personal experience, the most important are the various processing operations and function methods of strings, lists and dictionaries. Because you will deal with these things a lot of times in the future, for example, when writing a test script, you need to extract assertions from the interface, you need to parameterize your own positioning statements, you need to query data from the database, you need to insert data in bulk, and so on. It's all about these three data types.

You may not be able to remember the exact writing of all the functions and methods, but you must know which functions and methods Python provides for a certain data type. In this way, when you need to manipulate a certain data type in the process of coding, you will have the idea of dealing with it, otherwise it will be silly. For functions or methods that you can't remember, you can consult the tutorial materials and remember them if you use them more.

For things like functions and object-oriented, understand it from a conceptual point of view. Don't be delusional about understanding abstraction. It takes a process, and only when you write too much code do you know why you write functions and classes, because functions and object orientation are created to reduce code. But when you write a little bit of code, if you subtract it, it's gone, and you can't talk about it. So don't be too anxious if you don't understand it for the time being, remember the concept first.

Many times, learning requires an enlightening process. Not all knowledge points can be understood after reading and writing. Everyone has a weakness in thinking, so there is sometimes a short circuit for some knowledge points, that is, they cannot be understood no matter how they think or ask questions. So for what you really can't understand, write it down first, maybe you just lack an opportunity. But if you don't remember, I want to fill you with water, but there is nothing to fill you with.

Since I wrote the tutorial for the first time, if you have any comments and suggestions, please point out in the comments. Thank you!

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