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Winzer
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I am learning Python right now and it is pretty cool. Just out of curiosity, would it be a easy transition to learn C++ after I master Python?
mgb_phys said:Thanks for the book pointer,
I have Langtangen and agree it's excellent. I'd disagree w/ the recommendation of Swig now, especially for those starting out. Ctypes IMO has eclipsed it as the best bet: far easier to use, learn, and debug, comes builtin w/ Python, and for some things out performs Swig substantially. Downside is Ctypes won't handle C++shoehorn said:For what little it's worth, I've often found Boost::Python to be perhaps the most severely lacking component in the Boost libraries. (The reasons are technical and I won't discuss them here.)
On the other hand, Swig is a great way of wrapping C/C++ code so that it can be used with Python (among many other languages). It's discussed in several places but a really useful introduction to it, as well as to the use of Python more generally in a scientific context, is Langtangen's https://www.amazon.com/dp/3540739157/?tag=pfamazon01-20. (Langtangen's book is wonderful for many reasons but it also does a really good job of illustrating how Python can be used to interface with Fortran and C/C++ code, something that's essential knowledge if you're going to be working with scientific libraries.)
Learning any programming language can be challenging, but Python and C++ are often recommended as good languages for beginners due to their user-friendly syntax and extensive online resources available. With dedication and practice, anyone can learn Python & C++.
While it is possible to learn both languages simultaneously, it is generally recommended to focus on one at a time. Python and C++ have different syntax and structures, so learning them separately can help prevent confusion and allow for a deeper understanding of each language.
The time it takes to learn Python & C++ varies depending on individual learning speed and the amount of time dedicated to studying. With consistent practice and dedication, one can become proficient in both languages in a few months.
Python is a high-level, interpreted language that is known for its simplicity and readability. It is often used for web development, data analysis, and artificial intelligence. C++ is a low-level, compiled language that is known for its speed and efficiency. It is often used for system and application development.
While both languages have their own strengths and purposes, they can be used for similar tasks such as web development, data analysis, and scripting. However, C++ is better suited for low-level tasks and performance-critical applications, while Python is better for high-level tasks and prototyping.