For me, the only place where Python truly excels versus the competition is Numpy. The easy python scaffolding gets you to the heart of a problem in a friendly and flexible way, and then you can interface easily to this big V8 of a compute engine (especially if you combine it with the MKL libraries). The ecosystem around Numpy is astronomically good.
I have fallen in love again with Python (2) for this reason. I tried 3 but I don't need all it's accountant-like seriousness. It's less fun to code in. When I need to design for servers or for performance I will do golang or ocaml. When I need simple scaffolding for numerical work, and scripting for prototyping integration of various systems, Python 2.7 is like an old, unfussy, friend, helping me along my long and winding data wrangling road with a minimum of cognitive tax. It just works. Long may it live.
In my view the Python powers should look at numerical / data science and throw all of Python's weight behind that, and forget about the web, where they've already lost.
I have fallen in love again with Python (2) for this reason. I tried 3 but I don't need all it's accountant-like seriousness. It's less fun to code in. When I need to design for servers or for performance I will do golang or ocaml. When I need simple scaffolding for numerical work, and scripting for prototyping integration of various systems, Python 2.7 is like an old, unfussy, friend, helping me along my long and winding data wrangling road with a minimum of cognitive tax. It just works. Long may it live.
In my view the Python powers should look at numerical / data science and throw all of Python's weight behind that, and forget about the web, where they've already lost.