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.