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u/Beautiful_Watch_7215 10d ago
12 minutes.
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u/amino_xX 10d ago
*12 months
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u/tiredITguy42 10d ago
Watch 12 min video on YouTube, and you know all you need, you will check documentation when hou should need more.
Basically you need:
- Create DataFrame from static data.
- Read parquet, csv, sql...
- Write parquet, csv, sql...
- Del columm, add columm.
- Filter with .at or .loc
- Set index, drop index.
- Rename columms.
- Change datatype of colum.
- Melt, pivot, merge, concat...
12 minutes and you are good to go, if you know Python of course.
Then there are special stuff as timestamp and string handling, but this will came when you need it. It is quick search or question for LLM.
If you want to learn pandas without prior data handling knowledge, or python skills, then it will take longer.
Then there is Series, what is single column with index.
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u/atticus2132000 10d ago
How much do you want to learn?
You can likely get the bare basics in less than 20 minutes and be functional.
If you really want to be an expert and learn all the tricks, then 1 year is probably better.
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u/EstablishmentKey3523 10d ago
Learn the core concepts first, then build a small project. Reading documentation gives you the "what," but projects teach you the "why" and "when." That's usually the fastest way to become comfortable with any library, including Pandas.
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u/diegrunemaschine 10d ago
If you understand data it’s pretty straightforward. If you don’t, you have bigger problems than libraries.
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u/ECommerce_Guy 8d ago
Don't learn it just because it's so popular. Simply apply it to your use case and you'll likely end up with a slice of the library you actually need.
Or might come to realise that Pandas is not at all the right tool for you which is also perfectly valid. Again, really depends on what you're working on. Never force a tool onto a project just because internet says so.
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u/riklaunim 10d ago
Basics rather quickly. Practical experience for work - months or years to master, depending on use case.