How to list files of a directory

In Python, you can use the glob module to list directories and files that match a specified pattern. The glob module provides a convenient way to search for files and directories in a directory structure using wildcard patterns. Here's how you can use it with some examples:

Importing the glob Module

First, you need to import the glob module:

import glob

Listing All Directories

You can use the glob.glob() function with the */ pattern to list all directories in a specific directory:

directories = glob.glob('/path/to/your/directory/*/')

for directory in directories:
    print(directory)

This code will list all directories in the specified path.

Listing Files in a Directory

To list all files in a specific directory, you can use the * pattern:

files = glob.glob('/path/to/your/directory/*')

for file in files:
    print(file)

This code will list all files (not directories) in the specified path.

Filtering Directories or Files by a Specific Pattern

You can also use more specific patterns to filter directories or files based on your requirements. For example, if you want to list all directories that start with "dir_", you can use the following code:

directories = glob.glob('/path/to/your/directory/dir_*')

for directory in directories:
    print(directory)

This code will only list directories that match the specified pattern.

Similarly, if you want to list all .txt files in a directory, you can use the following code:

txt_files = glob.glob('/path/to/your/directory/*.txt')

for file in txt_files:
    print(file)

Recursive Directory Listing

By using the **/ pattern, you can perform a recursive directory listing to search for directories or files in subdirectories as well. Here's an example that lists all .jpg files recursively:

jpg_files = glob.glob('/path/to/your/directory/**/*.jpg', recursive=True)

for file in jpg_files:
    print(file)

This code will list all .jpg files in the specified directory and its subdirectories.

The glob module is a powerful tool for listing directories and files based on patterns, making it a versatile choice for working with file systems in Python.