


Introduce the method of Python to read the specified suffix file in the specified directory and save it as docx
This article mainly introduces Python to read the specified suffix file in the specified directory and save it as docx. Friends who need it can refer to it
Recently there is a strange request to apply for a patent for N lines of code in the project. Of course, as a programmer, you cannot copy and paste and use code to solve it. .
Use python-docx to read and write docx filesThe environment uses python3.6.0
First install python-docx with pip
pip install python-docx
Then the following is the script modification directory. By default, the src folder in the script running directory is taken.
Read all files with the .cs suffix and save them as docx.
One thing to note is that if there is Chinese in the file, please use vscode or other editors to open it in utf-8 format to see if there are any garbled characters. Each time a file is processed, there will be a print output. When you see only - --When start has no end, you can find the file to see if there is any situation mentioned above. After modification, save and re-execute until all executions are completed. Save the docx file
code
# -- coding: UTF-8 -- # Created by luody on 2017/4/7. import os from docx import Document saveFile = os.getcwd() + "/code.docx" mypath = os.getcwd() + "/src" doc = Document() doc.add_heading("代码文档", 0) p = doc.add_paragraph('服务端代码,使用语言') p.add_run('C#,SQL').bold = True lineNum = 0 for root, dirs, files in os.walk(mypath): for filespath in files: if (filespath.endswith('.cs')): doc.add_heading(filespath, level=1) codePage = '' print(filespath+' ---- start') for line in open(os.path.join(root, filespath), encoding="utf-8"): codePage += line lineNum += 1 print(filespath+' ---- end') doc.add_paragraph(codePage, style='IntenseQuote') doc.add_page_break() p = doc.add_paragraph(u'总行数:') p.add_run(str(lineNum)).bold = True doc.save('code.docx') print(lineNum)
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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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