Feb-14-2025, 01:50 PM
what method to download large size (larger than 1GB) faster?
how to download large files faster?
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Feb-14-2025, 01:50 PM
what method to download large size (larger than 1GB) faster?
Feb-14-2025, 03:43 PM
I doubt Python is the bottleneck. I also doubt Python is the solution.
« We can solve any problem by introducing an extra level of indirection »
For faster large file downloads (1GB+):
1. **Download Managers** – Use **IDM** (Windows) or **aria2** ( aria2c -x 16 "URL" , Linux). 2. ** wget or curl ** – Resume support: `bashwget -c "URL" curl -O -C - "URL" ` 3. ** rsync (for remote servers)** – Efficient transfer: `bashrsync --progress -avz user@server:/file . ` 4. **Cloud Sync** – Use rclone , gdown , or OneDrive/Dropbox apps. 5. **Torrents** – If available, use **qBittorrent**. Need help setting one up? 🚀
Feb-20-2025, 06:57 PM
As mention download managers like aria2 can help for faster download of lagere file.
Writing the same way Python can use a asynchronous way that allows to download multiple parts of the file concurrently. Can use aiohttp for this task. import aiohttp import asyncio import time async def download_file(url, output_path): async with aiohttp.ClientSession() as session: async with session.get(url) as response: with open(output_path, "wb") as f: while True: chunk = await response.content.read(32768) if not chunk: break f.write(chunk) if __name__ == '__main__': start = time.time() url = "https://link.testfile.org/500MB" output_path = "file_500.zip" asyncio.run(download_file(url, output_path)) stop = time.time() print(f'{stop - start:.2f}')A example to use aria2 with Python then subprocess is used for task like this. import subprocess import time url = "https://link.testfile.org/500MB" output_path = "largefile.zip" # Using aria2 for faster downloads start = time.time() subprocess.run(["aria2c", "-x", "10", "-s", "16", "-o", output_path, url]) stop = time.time() print(f'{stop - start:.2f}') |
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