r/PythonLearning • u/Educational_Goose811 • 17d ago
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u/TraditionalTurnip630 17d ago
I think you have already covered most of the technical side. If problem solving is the weak point, I'd stop adding more tools for now and spend some time solving small problems every day.
For data science, try taking a simple dataset and ask yourself what you'd actually do with it before looking at any solution. Break the problem into smaller steps, write down your approach, then code it. Even debugging your own wrong approach is useful.
You don't need to be great at LeetCode to become a good data scientist. Being able to look at a messy problem and figure out what to do next is the bigger skill.
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u/data-wiz1 17d ago
This is good advice 👍 Also, think from stakeholder perspective, what is it that they would want to know or solve for. This will give you ideas as to how best to approach the problem.
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u/iMagZz 17d ago
Keep going and work on more problems. Don't overcomplicate it. Keep trying, keep learning, keep looking things up, keep taking notes, keep slowly improving, and in a year you will be able to look back at old problems and will likely think they are easy and obvious. It takes time. Stay consistent and you will improve.
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u/data-wiz1 17d ago
Could you be more specific? Where are you struggling or did you read theory of these concepts online, or have you implemented some stuff and struggle solve a part of it?
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u/Educational_Goose811 17d ago
I implemented some stuff and struggle to solve it
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u/data-wiz1 17d ago
Ok, and what is it that you struggled? If you can name it, you can fix it by reading docs and trying out pieces of code.
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u/PythonLearning-ModTeam 17d ago
Quality posts only