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.
threading
concurrent.futures
requests
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)
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 and feedback are welcome! Please feel free to open an issue or submit a pull request.