Hmm, this is one of my biggest gripes I have with Julia: that Julia is nearly always compared to Python. But I experience this as mainly driven from us (this community, actually not me, but them ). I see that Julia has its strongest arguments in the data analysis world (where I am too) but on the other side I see this as the biggest obstacle for Julia to be more widely adopted. There are still some features missing (slim standalone executables, modern GUI,…) for this to become real and the focus on data analysis puts these features into the low priority queue.
The result is: Julia is only good for data analysis, thats what it is made for, so it is the natural thing to compare it to Python, when ever it comes to some articles or blogs.
I want to see Julia to overcome this burden and free itself into more than just data analysis.
By the way: overall, the article isn’t “pitching” against python, it’s more a very neutral comparison and even the title doesn’t sound (in german) very “pitching”. It is more that it tries to attract the python data analyst who doesn’t know too much about Julia with some trigger words. Not so much clickbaiting, the Heise site is all in all very good and classical journalism.