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Pandas vs. Julia – cheat sheet and comparison

datascientyst.com

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Re: Pandas vs. Julia – cheat sheet and comparison

#4
post #2

Nah, I'll do it with SQL

One nice thing about solutions like pandas or Julia is that they’re much easier to write tests for or otherwise validate. I can’t tell you how many times I’ve been handed a big ball of SQL which doesn’t behave like its author thinks it does, diverging in subtle or not-so-subtle ways.

Re: Pandas vs. Julia – cheat sheet and comparison

#5
post #2

Nah, I'll do it with SQL

I agree, and interestingly so does the author of the article so it's a bit weird that you're receiving downvotes.

Julia's DataFrames library is more consistent than Pandas by a mile, but it's still a bit weird.

JuliaDB's IndexedTable and NDTable was a really awesome API design, it's quite a pity that JuliaDB is now unmaintained. :(

Re: Pandas vs. Julia – cheat sheet and comparison

#8

Earlier quoted context omitted.

You do a lot of software development on mobile?

How’s that related to the article not being mobile friendly?

It's a reference sheet for a programming language. Like it's clearly designed to be read as you're writing code. I don't understand in which circumstance you'd optimize such a document for mobile use.

Re: Pandas vs. Julia – cheat sheet and comparison

#10
This seems very poor - the comparison is between pandas and DataFrames.jl, not Julia; syntax comparison is very surface-level; cheatsheats are low resolution; the learning curve section says nothing about the learning curve; and the conclusion is "do whatever you like".
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