Skip to content

This Python code downloads a file using multiple threads to increase download speed, with each thread downloading a portion of the file. It also uses a progress bar to monitor the download progress.

Notifications You must be signed in to change notification settings

aakashpadhiyar/Python-downloader

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 

Repository files navigation

Multithreaded File Downloader

This Python script uses multithreading to download files from the web in parallel. It splits the file into multiple parts and downloads them concurrently, then merges them into a single file.

Dependencies

  • threading
  • concurrent.futures
  • requests

Usage

To use the script, simply replace the down_links variable with a list of URLs to download, and the File_name variable with a list of desired filenames for each download. Then run the script.

pythonCopy code

urls = down_links

with ThreadPoolExecutor(max_workers=10) as executor:
    futures = []
    for url, filename in zip(urls, File_name):
        futures.append(executor.submit(download, url, filename))

    for future in as_completed(futures):
        result = future.result()
        print(result)

How it works

The download() function takes in a URL and filename, then splits the file into 30 parts and downloads each part concurrently using threads. The download_part() function is called by the threads to download a specific part of the file.

Once all parts are downloaded, they are merged into a single file and the part files are deleted. The ThreadPoolExecutor is used to handle the threads and ensure that they are cleaned up correctly.

Contributions

Contributions and feedback are welcome! Please feel free to open an issue or submit a pull request.

About

This Python code downloads a file using multiple threads to increase download speed, with each thread downloading a portion of the file. It also uses a progress bar to monitor the download progress.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages