> Because Julia is fast and expressive and extensible, in Julia everything can be Julia and not a mashup of other languages. I've been doing some work in Python recently, and it's painful to have Python lists, numpy arrays, Pandas series, and so forth.

This is exactly what I like about Julia. Even though getting started in Julia was tough (esp the older versions), once you get off the ground Python starts to seem like a very hard language, in that Python requires you to use these special libraries to run fast code. In Julia, the most obvious way to do something (e.g., for loops) is perfectly fine.

The main thing Julia lacks, for me, is an equivalent to Pandas. The DataFrames library lacks many very useful features of Pandas. But I am sure someone will tackle that.