


A brief introduction to string encoding issues in Python programming
This article introduces Python string programming, We have already said that String is also a data type, but characters What's special about string is that there is an encoding problem.
Because computers can only process numbers, if you want to process text, you must first convert the text into numbers before processing. The earliest computers were designed using 8 bits as a byte. Therefore, the largest integer that can be represented by a byte is 255 (binary 11111111 = decimal 255). If you want to represent a larger integer, You must use more bytes. For example, the maximum integer that can be represented by two bytes is 65535, and the maximum integer that can be represented by 4 bytes is 4294967295.
Since the computer was invented by Americans, only 127 characters were encoded into the computer at first, that is, uppercase and lowercase English letters, numbers and some symbols. This encoding table is called ASCII encoding, such as uppercase letters The code for the letter A is 65, and the code for the lowercase letter z is 122.
But to process Chinese, one byte is obviously not enough. At least two bytes are needed, and it cannot conflict with ASCII encoding. Therefore, China has formulated the GB2312 encoding to encode Chinese.
What you can imagine is that there are hundreds of languages in the world. Japan has compiled Japanese into Shift_JIS, and South Korea has compiled Korean into Euc-kr. Each country has its own standards, and it will inevitably appear. The result of conflict is that in multi-language mixed text, garbled characters will appear when displayed.
Therefore, Unicode came into being. Unicode unifies all languages into a set of encodings, so there will no longer be garbled code problems.
The Unicode standard is also constantly evolving, but the most commonly used one is to use two bytes to represent a character (if you want to use very remote characters, you need 4 bytes). Modern operating systems and most programming languages support Unicode directly.
Now, let’s take a look at the difference between ASCII encoding and Unicode encoding: ASCII encoding is 1 byte, while Unicode encoding is usually 2 bytes.
The letter A encoded in ASCII is decimal 65, binary 01000001;
The character 0 encoded in ASCII is decimal 48, binary 00110000. Note that the character '0' is different from the integer 0 ;
Chinese characters have exceeded the range of ASCII encoding. The Unicode encoding is 20013 in decimal and 01001110 00101101 in binary.
You can guess that if you use Unicode encoding for ASCII encoding, you only need to add 0 in front. Therefore, the Unicode encoding of A is 00000000 01000001.
A new problem arises: if unified into Unicode encoding, the problem of garbled characters will disappear. However, if the text you write is basically all in English, Unicode encoding requires twice as much storage space as ASCII encoding, which is very uneconomical in terms of storage and transmission.
So, in the spirit of conservation, UTF-8 encoding that converts Unicode encoding into "variable length encoding" appeared. UTF-8 encoding encodes a Unicode character into 1-6 bytes according to different number sizes. Commonly used English letters are encoded into 1 byte, and Chinese characters are usually 3 bytes. Only very rare characters will be encoded. Encoded into 4-6 bytes. If the text you want to transmit contains a large number of English characters, using UTF-8 encoding can save space:
So you will see that the source code of many web pages will have something like information indicates that the web page uses UTF-8 encoding.
The above is the detailed content of A brief introduction to string encoding issues in Python programming. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code
