For the past year or so, I’ve been trying to encourage my firm to give Julia a place in our tech stack. Now that the idea has finally gained some traction, I can present a more formal case with some code samples. To that end, what are some things that Julia has saved you a lot of time on in compari…

Ah wait it still won’t work since :x * "_cleaned" will throw an error. But interpolation will work instead of *. "$(var)_cleaned". In general, when working programmatically it’s best to work with strings.

Thanks, should be good now (I just had this crazy idea of actually testing my code :slight_smile: )

I love the speed of it and the concise syntax seems natural to me…

correct me if Im wrong Isn’t dplyblahblah just a piping with some weird function names? :grin:

[image] Derek_Vetsch: what are some things that Julia has saved you a lot of time on in comparison to say, Python? A good package manager which saves the need for Docker or Conda Consistent base language. Less need to learn all kinds of edge cases Powerful metaprogramming and introspection t…

A decent type system and the ability to avoid “big switch” patterns on functions with potentially different type arguments (through multiple dispatch). This makes it easier to write cleaner, generic code through functional composition (building functions out of smaller functions). Once you get good …

[image] rikh: Most libraries are written in pure Julia This is incredibly important. Being able to understand and adapt performant code from the packages that I use is just something I’ve grown so used to now that I just take it for granted!

[image] rikh: A good package manager Would you mind explaining in plain language how the Julia package manager is “easier” than, say, the package manager in Python and R? I ask because in R and Python, I occasionally discover I’m using old or obsolete packages, update them, and that’s that. …

I ask because in R and Python, I occasionally discover I’m using old or obsolete packages, update them, and that’s that. This is true for a lot of packages, but try resurrecting very old, unmaintained code that uses packages that basically don’t exist anymore. I had a situation at work with R whe…

Things that are easier in Julia than Python/R etc

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Things that are easier in Julia than Python/R etc

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