由于给客户的发布版本上客户改动了些代码和图片,我们这边给他们更新publish都是增量更新(开发提供更新指定的文件,我们提取出来给客户进行覆盖更新),但有时需要更新的文件较多导致不得不一个一个的进行查找、替换,工作量大而且容易出错。所以用python写个保留pulish后目录的指定文件、删除其他文件的功能。
代码如下:
代码如下:
import os
import os.path
def DeleteFiles(path,fileList):
for parent,dirnames,filenames in os.walk(path):
FullPathList = []
DestPathList = []
for x in fileList:
DestPath = path + x
DestPathList.append(DestPath)
for filename in filenames:
FullPath = os.path.join(parent,filename)
FullPathList.append(FullPath)
for xlist in FullPathList:
if xlist not in DestPathList:
os.remove(xlist)
代码解释:
1、for parent,dirnames,filenames in os.walk(path): 该for循环用于遍历指定path的父文件夹、文件夹名(不含目录)、文件名
2、
代码如下:
for x in fileList:
DestPath = path + x
DestPathList.append(DestPath)
该方法两个参数分别是path,filelist。path用来指定publish文件的存放目录,例如:'D:\publish',filelist通过list存放你希望保留的文件及该文件路径,例如:
[r'\1.txt',r'\a\1.txt'],然后将path和filelist拼接起来存放到另一个列表中就是你希望保存文件的完整路径存放在DestPathList中,既['D:\\publish\\1.txt','D:\\publish\\a\\1.txt']
3、
代码如下:
for filename in filenames:
FullPath = os.path.join(parent,filename)
FullPathList.append(FullPath)
将目录下所有文件的绝对路径存放在列表FullPathList中
4、
代码如下:
for xlist in FullPathList:
if xlist not in DestPathList:
os.remove(xlist)
遍历FullPathList中元素跟DestPathList中元素进行比对,如果不相同则删除文件
功能虽然简单,但工作中还是比较实用的,故在此留下脚印。

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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