If you work with a lot of data, Julia is already a 10-100x improvement over Python. Being able to iterate and mangle huge columns with real lambdas and without

If you work with a lot of data, Julia is already a 10-100x improvement over Python. Being able to iterate and mangle huge columns with real lambdas and without having to marshal arguments to/from C++ is a huge advantage. Where I used to spend hours in aggregate searching through docs for pandas/numpy, for stupid shit like "how do I shift but also skip NaNs", now I just write a for-loop in a couple minutes and get on with my work. There's a whole subclass of tasks in R/pandas to work around the interpreter that just aren't needed in Julia. For me at least it's well worth the syntactical warts and slow interpreter.