


Detailed explanation of how Python uses regular expressions to exclude characters from a set
In regular expressions, if you want to match one of some characters, that is to say, given a set of characters, as long as any character in this set appears, it is established. The following article mainly introduces it to you. For information about Python's function of using regular expressions to exclude characters from a set, friends in need can refer to it.
Preface
We have learned before that through the set enumeration function, we can list all the characters that need to appear and save them in the set. , so that the regular expression can determine whether the match is successful based on whether the character exists in the set. If it is in the set, the match is successful, otherwise it is unsuccessful. Now there is a problem, that is, the characters listed in the set must not appear before the match is successful. How to achieve this requirement? In fact, it is relatively simple. You only need to add a character ^ in front of the set, so that when the regular expression is matched, if a character is found in the set, the match will fail. Not much to say below, let’s take a look at the detailed introduction.
The example is as follows:
#python 3.6 #蔡军生 #http://blog.csdn.net/caimouse/article/details/51749579 # from re_test_patterns import test_patterns test_patterns( 'This is some text -- with punctuation.', [('[^-. ]+', 'sequences without -, ., or space')], )
The result output is as follows:
'[^-. ]+' (sequences without -, ., or space) 'This is some text -- with punctuation.' 'This' .....'is' ........'some' .............'text' .....................'with' ..........................'punctuation'
In this example, characters such as dashes, periods, and spaces (-, ., ,) are excluded.
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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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