


Python open reading and writing files to implement script code display
File operations in Python can be done through the open function, which is indeed very similar to fopen in C language. Obtain a file object through the open function, and then call read(), write() and other methods to read and write the file.
1.open
After using open to open a file, you must remember to call the close() method of the file object. For example, you can use the try/finally statement to ensure that the file can be closed finally.
file_object = open('thefile.txt') try: all_the_text = file_object.read( ) finally: file_object.close( )
Note: The open statement cannot be placed in the try block, because when an exception occurs when opening the file, the file object file_object cannot execute the close() method.
2. Read files
Read text files
input = open('data', 'r') #第二个参数默认为r input = open('data')
Read binary files
input = open('data', 'rb')
Read all contents
file_object = open('thefile.txt') try: all_the_text = file_object.read( ) finally: file_object.close( )
Read fixed bytes
file_object = open('abinfile', 'rb') try: while True: chunk = file_object.read(100) if not chunk: break do_something_with(chunk) finally: file_object.close( )
Read each line
list_of_all_the_lines = file_object.readlines( )
If the file is a text file, you can also directly traverse the file object to obtain each line:
for line in file_object: process line
3. Write file
Write text file
output = open('data', 'w')
Write binary file
output = open('data', 'wb')
Append write file
output = open('data', 'w+')
Write Data
file_object = open('thefile.txt', 'w') file_object.write(all_the_text) file_object.close( )
Write multiple lines
file_object.writelines(list_of_text_strings)
Note that calling writelines to write multiple lines will have higher performance than using write to write in one go.
The above is the detailed content of Python open reading and writing files to implement script code display. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
