Parallelize Python Tasks with Joblib

Today we learn how to parallelize Python tasks using joblib.
◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾
📚 Programming Books & Merch 📚
🐍 The Python Bible Book: www.neuralnine.com/books/
💻 The Algorithm Bible Book: www.neuralnine.com/books/
👕 Programming Merch: www.neuralnine.com/shop
🌐 Social Media & Contact 🌐
📱 Website: www.neuralnine.com/
📷 Instagram: / neuralnine
🐦 Twitter: / neuralnine
🤵 LinkedIn: / neuralnine
📁 GitHub: github.com/NeuralNine
🎙 Discord: / discord
🎵 Outro Music From: www.bensound.com/

[@tomjohnson8986]

Straight to the point and clear. Well done. No fluff.

[@gustavobertocco554]

Awesome, this is exactly the type of pipeline I was looking for in order to integrate joblib :)

[@rahulkumarsingh1716]

With every videi , i learn something new! Good Job.

[@mohammedel2035]

Great value as always… Thanks a lot!

[@viniciusfriasaleite8016]

I want to apply parallel computing to the minimax algorithm I implemented on a connect 4 game. It looks like a really good improvement. Thanks for the content

[@west]

Very useful overview, thank you!

[@hopes3211]

Excellent content and easily explained. Awesome 👍

[@marcosoliveira8731]

I´ve learned a great deal here. Thank you.

[@thomasgoodwin2648]

Careful of your benchmarking. The 1st time you run it single threaded, then after that all multi threaded. However, the 1st time you run it, it actually has to go out to the internet and actually download the images. Running after that is a bit of a cheat since it's likely that from then on, the images will be called up from cache rather than re-DLd.

[@shinrafahell]

Excellent video!

[@Y.Mahran]

Great video.

[@bw2]

well-timed video, multiprocessing module was giving me a hard time, I had to selectively scrape files (around 4K files each execution) I think this will be fantastic with HTTPX (drop-in replacement of requests module but with async support)

[@atom1833]

Intro is amazing

[@user-wr4yl7tx3w]

Great video

[@mdabdullahalhasib2920]

Awesome

[@shuxiaokai]

So cool 🥰🥰🥰

[@alexanderrubioanasco5352]

Thanks for share you aknowledge, i have a question,.

[@JohnWalz97]

You should always use 'time.perf_counter' instead of 'time.time()' when you're trying to benchmark code. It's way more accurate.

[@giovannigaiardo]

I am enjoying this channel very much. Would anyone recommend a similar one but focused on JavaScript?

[@splendorman7922]

any advantages over 'unsync' library?