Home  >  Article  >  Backend Development  >  Deep Learning: Practical Tips for Reading .py Files in Python

Deep Learning: Practical Tips for Reading .py Files in Python

WBOY
WBOYOriginal
2024-04-04 08:57:02909browse

Methods for reading .py files in Python include: using the open() function to open the file and read the content. Use importlib.machinery to load the script file and obtain its code object.

Deep Learning: Practical Tips for Reading .py Files in Python

In-depth learning: Practical tips for reading .py files in Python

Reading Python scripts Files (.py files) are a necessary part of many programming tasks. This article delves into various techniques for reading .py files using Python and provides some practical examples.

Method 1: Using the open() function

with open('myfile.py', 'r') as file:
    code = file.read()

This method opens the file for reading and then stores the file contents in code variable.

Method 2: Use importlib.machinery

import importlib.machinery

loader = importlib.machinery.SourceFileLoader('myfile', 'myfile.py')
code = loader.get_code('myfile')

This method uses importlib.machinery to load the script file and get its code object.

Practical case:

Read and print the function in the .py file

with open('myfile.py', 'r') as file:
    code = file.read()
    exec(code)

print(my_function())

This code will read the myfile.py file, execute the included code, and call the my_function() function.

Load and execute the classes in the .py file**

import importlib.machinery

loader = importlib.machinery.SourceFileLoader('myfile', 'myfile.py')
code = loader.get_code('myfile')
exec(code)

my_class = My_Class()
my_class.my_method()

This code will load the myfile.py file and execute the included code, And create an instance of the My_Class class.

The above is the detailed content of Deep Learning: Practical Tips for Reading .py Files in Python. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn