C/C++ show better performance than Python due to Python's higher level function calls and wrapping routines. However, Python's time-to-program is lower than C/C++ due to lower language complexity. How do we calculate this trade-off for various problems present?
Hello Masab Ahmad
This is a question that depends on the kind of project you're intending to develop. Python is a language that allows you to use a large number of functions on an also large set of libraries, and if you have little time to develop your project it may help you a lot. In onther hand, Python is slower than C/C++ that are languages which you can deal with low level issues more proficiently - this ensures a better performance of the product related to the project - but in return maybe you'll have to develop several funtions that aren't already available.
Well, you could set this kind of selection as a multicriteria problem (of course using a multicriteria aid method) using as criteria some characteristics that are inherent to programming languages. Take a read on the two articles below, thay can help you to understand which criteria can be used and how a MCDA method works:
Article Criteria for the selection of a programming language for int...
Article An application of multicriteria analysis for ERP software se...
Regards!
You need to incorporate some knowledge/requirements of the application domain. In the field I work on, CAD tools for circuit design, you would use C++ 99% of the time. Python still finds its niche in academic projects when we want to get a quick and dirty solution done in short timeframe.
I think this is very subjective and depends on your application. In my case, I tend to work in this way: I do the prototyping of my image processing algorithms using Python, when a function in my process is complete then I port it to C++. This gives me the advantage of having the process very clear thanks to the Python simplicity and speeding it up with the power of C++.
of course low level language like C are POTENTIALLY better, in terms of running time. However, using packages like numpy and scipy, you can have the speed of C and Fortran and can enjoy simplicity of Python.
A simple rule of thumb might be this: Always use Python, but if you notice that the speed of the program/application is not satisfactory, translate it (or some parts of it) to C/C++. Most often (maybe 99% of the cases) you will find out that the speed of the Python programs is OK, because todays computers are quite fast. However if you are doing OS programing (for example developing Linux modules), or embedded system programing (which run on not so powerful computing gadgets), or hardware programing (arduino), C/C++ may be more suitable.
Both languages have there own advantages and it often comes down to what you need to do and how long you have to do it.
Python is fast to develop, simple to learn and implement. If it can do the task you're looking to accomplish then its probably the best option.
C/C++ is complicated and takes longer to implement but its faster and much more flexible when it comes to developing very bespoke systems. However it can be problematic if using libraries that need to be built for specific processors (Arm/x86/x67 and so on) and this certainly becomes a problem when it comes to ongoing support and development.
As a full time software developer I would use python for small, fast programs and prototypes. C# for the majority of my applications (it fits nicely in the middle of Python and C++ for simplicity and capability) and then C++ for more complex programs that require speed and efficiency.
The answer depend on your work.
Usually Python is use for data science and C++ is use for games.
But I think C++ is better in terms of time.
If your application is Machine Learning or big data analytics then Python stands taller
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