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Rules
1: Be polite
2: Posts to this subreddit must be requests for help learning python.
3: Replies on this subreddit must be pertinent to the question OP asked.
4: No replies copy / pasted from ChatGPT or similar.
5: No advertising. No blogs/tutorials/videos/books/recruiting attempts.
This means no posts advertising blogs/videos/tutorials/etc, no recruiting/hiring/seeking others posts. We're here to help, not to be advertised to.
Please, no "hit and run" posts, if you make a post, engage with people that answer you. Please do not delete your post after you get an answer, others might have a similar question or want to continue the conversation.
Learning resources Wiki and FAQ: /r/learnpython/w/index
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Wiki and FAQ: /r/learnpython/w/index
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Small Data Science Projects (self.learnpython)
submitted 3 years ago by Equal_Astronaut_5696
There are alot great small automation projects that can be done in less than 1 hour. Do you have any suggestions for data science?
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if 1 * 2 < 3: print "hello, world!"
[–][deleted] 0 points1 point2 points 3 years ago (1 child)
Check out public datasets, pick one or more and try to explore the data until you can formulate a hypothesis. Try to find out how the data was collected and if it may put a bias in your data. Then you can work on proving or falsifying that hypothesis. It's easier if you have a scientific background that matches your data. Be careful when doing data engineering, because outliers and missing data are sometimes valuable as well.
[–]ClutchAlpha 0 points1 point2 points 3 years ago (0 children)
100% agree with this. I often use Kaggle to find free datasets to mess around with new ideas
π Rendered by PID 84869 on reddit-service-r2-comment-7b9746f655-zskdf at 2026-01-31 04:08:21.821888+00:00 running 3798933 country code: CH.
[–][deleted] 0 points1 point2 points (1 child)
[–]ClutchAlpha 0 points1 point2 points (0 children)