Yet another low effort medium article. I work with Python to develop backend systems where 90℅ of the time I/O(databases, network) is the culprit.
Terrible low-effort article with zero new information. The mediocrity is only punctuated by a click-bait title that I unfortunately fell for.
Couldn't disagree more. If you think Python can't replicate or beat the speed of compiled languages you aren't using it right. Please show me a matrix algebra library in another language that materially outperforms numpy.
Of course, I will not use Python for pixel level processing of video frames. For me,Python is great for prototyping, and as replacement of bash scripting.Probably people complain about speed because they try to use Python in large time-critical projects with Python on all levels.
For me, python is not slow. If I want to speedup some part, I write that code in C++. Python has great design. It saves time when you write code. If it is not fast enough at some part, that part can be rewritten in C++, and in this case, code in python can be used as a prototype.
Your wrong.. i used all 3 languages. Rust is fastest but complicated structure. Go is faster but not support full featured oop..julia is just ok not good to web development.. so python not die soon. And python fast api give same perfomance like go and julia to web development.
Golang is a good option for many things, especially in the web application/api space. Julia has a lot of promise in the data science/computational space. Julia OOP is sort of gross for general use so I do not really see Julia taking over Python any time soon on that alone.
If there's a list of dead programming languages, I think it's empty. Please do not publish shallow conclusions.
Just another python bashing attention seeking medium post. All the arguments posed are no new information. The time saved coding in Python is worth so much more than all nanosecond speed gains you might get in other languages. Even though python can be fast if you use it right.
Most of the time, lack of skill to use python efficiently is the biggest problem and that comes with down side of easy to learn & code
This is utter bullshit, and implies all software has to be lightning fast and use zero resources, and that will never be the case
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