One of the thing I like from Julia compare to Python is that it have the concept of missing data representation. Python's data science library represent it via

One of the thing I like from Julia compare to Python is that it have the concept of missing data representation. Python's data science library represent it via NaN or Null which is good enough for most cases but not all cases. I often wish R's syntax was cleaner and faster, Julia is may accomplish this. I don't think Python is a great substitute for R in many areas where statistic is heavily used and influenced. I've used Python for Deep Learning and NLP. Time series and many other statistical base stuff I use R.