Challenge: Parallel File Downloader
Imagine you are developing a tool to help users download several large files from the internet. Downloading them one after another would take a lot of time. To speed things up, you want to download all the files at the same time. By starting a separate thread for each file download, you can make the most of your computer's resources and save significant time, especially when network delays are involved.
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You are tasked with creating a function that downloads several files from the internet at the same time using threads. This will help speed up the total download time, since each file can be downloaded independently of the others. Follow these specific requirements:
- For each URL in the
urlslist:- Start a new thread that will handle the download of that file.
- Each thread should download the file from its URL and save it locally using the same filename as in the URL (for example, if the URL ends with
file1.txt, the file should be saved asfile1.txt). - Use the
requestslibrary to perform the file download. - After saving each file, print the message
Downloaded {filename}where{filename}is replaced with the actual name of the file that was saved.
- After starting all threads, wait for all downloads to complete before returning from your function. This ensures that the function does not finish until every file is fully downloaded and saved.
This approach makes your download tool much faster and more efficient by taking advantage of Python's threading capabilities.
Solution
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Imagine you are developing a tool to help users download several large files from the internet. Downloading them one after another would take a lot of time. To speed things up, you want to download all the files at the same time. By starting a separate thread for each file download, you can make the most of your computer's resources and save significant time, especially when network delays are involved.
Swipe to start coding
You are tasked with creating a function that downloads several files from the internet at the same time using threads. This will help speed up the total download time, since each file can be downloaded independently of the others. Follow these specific requirements:
- For each URL in the
urlslist:- Start a new thread that will handle the download of that file.
- Each thread should download the file from its URL and save it locally using the same filename as in the URL (for example, if the URL ends with
file1.txt, the file should be saved asfile1.txt). - Use the
requestslibrary to perform the file download. - After saving each file, print the message
Downloaded {filename}where{filename}is replaced with the actual name of the file that was saved.
- After starting all threads, wait for all downloads to complete before returning from your function. This ensures that the function does not finish until every file is fully downloaded and saved.
This approach makes your download tool much faster and more efficient by taking advantage of Python's threading capabilities.
Solution
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