Re:Computer Science Curriculum in 1000 YouTube Videos
by harha on Tuesday January 12, 2021 @04:31PM
(#25754054)
Out of curiosity, is there anything in particular that makes C++ preferable for simulations? I’ve been trying to get into the topic lately - for now I’ve stuck to python and Julia for the visualizations that are more familiar to me.
Re:Computer Science Curriculum in 1000 YouTube Videos
by dgentile on Tuesday January 12, 2021 @09:06PM
(#25757071)
C++ is really nice for low-level OOP, and compared with C it adds generics and classes. Compared to Python, C++ is lower-level and can have significant performance gains with a well written program. With regard to Julia, if you write your code in "the right way", it is also compiled and low-level.
Re:Computer Science Curriculum in 1000 YouTube Videos
by harha on Wednesday January 13, 2021 @10:58AM
(#25763661)
Makes sense, I can see some benefits in having more control of what happens with the memory, rather than trying to fit the model I have in mind into the datatypes python.
Found this post [0] fitting: > The best thing you can do when dealing with lower-level languages like C and C++ is understand that things like lists, strings, integers, floating point numbers, objects, etc. do not actually exist. They are simply abstractions. There are only the CPU and memory.
C it's great to learn the barebones experience with memory, and as a lang that runs in everything.
The modern use I could see for C++ it's usually too specific for a random learner. I would only recommended for people who like to work in game engines, simulations, networking, embedded systems or migration of legacy systems, and other edge cases.
But for learning, I think it's better to learn with a modern lang, as you will be less distracted learning the quirks of vitange language, and use that time to learn in parallel a lot of concepts outside the lang, like algorithms, devops, soft skills with teams, prioritizing requirements, etc.