


Introduction to the method of batch modifying file names in Python using the os module (with code)
This article brings you an introduction to how Python uses the os module to batch modify file names (with code). It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you. .
Beginner to learn Python. Write down your own small exercises in the essay.
You can do it by consulting the information of rename and renames in the os module
The difference between them is.rename: can only Modify the file name renames: You can modify the file name, and you can also modify the name of the upper-level directory of the file
Another method used is os.listdir(path) path is the path This method can modify the file in the specified path folder Enter the name into a list
The following is the code:
import os path = "e:/test/" # 目标路径 """os.listdir(path) 操作效果为 返回指定路径(path)文件夹中所有文件名""" filename_list = os.listdir(path) # 扫描目标路径的文件,将文件名存入列表 a = 0 for i in filename_list: used_name = path + filename_list[a] new_name = path + "new_" + filename_list[a] os.rename(used_name,new_name) print("文件%s重命名成功,新的文件名为%s" %(used_name,new_name)) a += 1
The running effect is:
Before renaming:
After renaming:
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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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