-
-
Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
-
The official julia user developer survey for 2022 lists GitHub as the largest platform of people using julia which intuitively also seems fitting to me as it seems like the community is very pro "open code, open science". But checking the GitHub language trends (via https://madnight.github.io/githut/ and https://tjpalmer.github.io/languish/) you can see that Julia has been rather stagnant since 2019 w.r.t. some measures and only slowly growing w.r.t. others.
Regarding speed, I don't agree this is a good argument against Python. For example, it seems no one here has yet mentioned numba, a Python JIT compiler. With a simple decorator you can compile a function to machine code with speeds on par with C. Numba also allows you to easily write cuda kernels for GPU computation. I've never had to drop down to writing C or C++ to write fast and performant Python code that does computationally demanding tasks thanks to numba.
Related posts
-
Going from Excel -> Python for analysis?
-
How do I combine two lists together to form a x y coordinate reference point?
-
Spyder – The Scientific Python Development Environment
-
I've coded in R for years, but I want to learn Python for machine learning/statistical analysis. Where to start, and which IDE?
-
R user, trying to learn Python... what´s the Rstudio equivalent?