In Python2, strings cannot fully support international character sets and Unicode encoding. To work around this limitation, Python 2 uses a separate string type for Unicode data. To enter a Unicode string literal, add 'u' before the first quotation mark. Ordinary strings in Python 2 are actually encoded (non-Unicode) byte strings. In Python3, there is no need to add this prefix character, otherwise it will be a syntax error, because all strings are already Unicode encoded by default.
But there is one more kind of string in python3 (recommended learning: Python video tutorial)
type(b'132') => byte型
And in Writing like this in python2 will report an error
So obviously, there will be a big difference in the use of decode and encode
decode in python2 converts str type to unicode type
Decode in python3 is to convert byte type into str type
Take python3 as an example:
src = ‘你好世界’
The str at this time is str type. If you need to convert it to byte type, you can Pass:
src = src.encode('utf-8')
At this time, src is already of byte type. If you want to convert it back to str, use it directly:
src = src .decode()
In addition, the open function in python3 adds an encoding parameter, and the default is UTF-8, that is, when the opened file handle is read or written, only str characters containing unicode format are received.
If you pass in a binary file at this time, an error will be reported, for example:
with open('a.bin', 'w') as f: f.write('xxx')
If you want to read and write binary files, you need to specify the opening method as 'wb' or 'rb'
In addition, if you find that the webpage cannot be displayed properly when crawling it, you need to transcode the content.
For more Python related technical articles, please visit the Python Tutorial column to learn!
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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.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

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.


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