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Why python data types are so important

2025-01-19 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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This article mainly introduces "why the python data type is so important". In the daily operation, I believe that many people have doubts about why the python data type is so important. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful to answer the question of "why the python data type is so important". Next, please follow the editor to study!

1. All for the sake that the importance of data types is always underestimated by beginners, so that after they have "learned" this knowledge, they will begin to study how to write tank wars in python. Reading this article requires you to be rational and wise, otherwise, you won't even have the patience to finish reading this article. Whether it is web development or crawler development, whether you are in charge of data processing or want to develop games, all programs are dealing with data, and programs that do not process data are of no value. The headline says: information creates value, so in what form does information exist? Data, of course. All the python grammars you learn have only one purpose, and that is to process data. two。 First determine the data type if you are now required to write a program to count the number of Chinese characters in the first three paragraphs of this article, how should you design the program? You should first think of that the first three paragraphs should be saved as string data, and then consider how to count the number of Chinese characters in it. If you can't even think of a string, do you still have a chance to write a program? If you are now asked to count the average age of your family, you should first think of using int-type data to save the age, and then store the family's age in the list lst, and the average age can be calculated as lst = [4,27,28]

Print (sum (lst) / len (lst))

If you are now asked to write a program to record the phone number of your family, you should think of saving it in a dictionary, using the name as key and the phone number as value. The type is the string contacts = {

'Dad': '13498672345'

'Mother': '13485743214'

}

In this way, you can quickly find the phone number according to your name. This is the structure of the address book in your mobile phone. 3. Talk about algorithm program = data + algorithm. When it comes to algorithms, they are actually based on data. Don't 8 sorting algorithms need data? Doesn't binary search need data? Don't you need data for linked lists, binary trees, graphs, and so on? If you still don't understand the data and don't even master the basic operations, how can you learn to understand the algorithm? 4. How to learn data types is not only python, but also other programming languages. When it comes to how to learn, I share some of my views:

Accurately understand and memorize commonly used data types, int, float, bool, strings, lists, tuples, collections, dictionaries, understand their types and structures

Master the way they convert to each other.

Common methods of mastering strings, lists, tuples, collections, and dictionaries

The most important thing is that you should be aware of the data. When you learn a piece of code, you must try to figure out what the data type of each variable is. Once the data type is determined, it can be targeted, it is a string, you go to find the method of the string to deal with it, it is a dictionary, you go to find the method of the dictionary to deal with it. Give you a piece of data, whether it is stored in a file or in a database, if you master the data type well, you can find a suitable data type to store the data, and the subsequent analysis and processing will be natural. At this point, the study on "why python data types are so important" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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