Chain.jl VS Infiltrator.jl

The [Chain.jl package](https://github.com/jkrumbiegel/Chain.jl) is becoming idiomatic for these kind of pipelines.

If you do have tabular data in a dataframe you have a few options for data manipulation, the most popular packages are probably DataFramesMeta and Query, although in my opinion the best way to manipulate dataframes is with the functions built in to DataFrames.jl and using a package like Chain.jl or Pipe.jl to pipe the functions into each other like magrittr in R.

The Julia community built a better piping method than any other language has AFAIK: Chain.jl.

@chain and @match.

Have you ever tried Infiltrator.jl and Chain.jl?

You are right. However, sometimes well used is very useful, and readable. One suggestion, in Julia I suggest Chain.jl, because it allows intercalate easily the output for debugging:

I also like pipe syntax and I've found there is nice support for it in Julia. There are some nice packages to improve it over base [1].

Have you checked queryverse [2]?

[1] https://github.com/jkrumbiegel/Chain.jl

Also Infiltrator is very fast and useful but don't try to use it from the Vscode integrated terminal.

The package Infiltrator.jl might be what you seek. It's not as good as inserting breakpoints like in Matlab but it's still better than printing everywhere haha

Yes, it uses Debugger.jl, which relies on JuliaInterpreter.jl under the hood, so while you can tell the debugger to compile functions in certain modules, it will mostly interpret your code.

You might be interested in https://github.com/JuliaDebug/Infiltrator.jl, which uses an approach more similar to what you describe.

Another small thing is in the REPL when you trigger an error in Common lisp it drops you into the debugger where you can redefine code and retry directly from the stack without unwinding the entire stack. Does Julia have functionality similar to this? Currently when I trigger an error Julia just throw the error and goes right back to the top level prompt. To resolve this issue I've tried sprinkling my code with a combination of GitHub - JuliaDebug/Infiltrator.jl + Stack Traces · The Julia Language wrapped in try catch blocks so that if an error is singled it drops into a debugger of sorts. This is ok and it works but it isn't really as good. Is there a current package that can emulate what I am trying to do? I think that the REPL workflow is good in julia but the workflow stalls out when you run into errors that don't drop into debuggers and such.

Have you ever tried Infiltrator.jl and Chain.jl?