Why Do Data Science Jobs Ask for C++ When Python Is Enough?
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CuriousCoder92
I'm new to programming and currently learning Python for Data Science, as most tutorials suggest it's sufficient. However, I keep seeing job descriptions requiring knowledge of C++ in addition to Python. I'm a bit puzzled about this. Can someone explain why C++ is needed for Data Science roles if Python is widely taught as the primary language? Should I invest time in learning both languages, or is C++ only relevant for specific positions? Thanks for your help!
Answers
Python is popular in Data Science, but many libraries that make Python great are actually built with C or C++. Understanding these lower-level languages can help you grasp what's happening under the hood, even if you won’t directly write C++ code. Recruiters often list C++ to attract more skilled candidates, which might boost the number of applicants who feel confident about their overall programming knowledge.
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Even though Python dominates Data Science, it isn't uncommon for data scientists to use R and SQL as well. Python provides a friendly interface, but many libraries perform heavy lifting behind the scenes using C or C++. So, if you’re aware of C++, it can give you an edge, especially in companies that might work with their own coding solutions.
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CodeCrusader77: So, would it be beneficial to rewrite functions in Python if their C++ libraries aren’t working?