Using C++ in Data Science

C++ is widely used in many fields, including data science. Data scientists typically choose Python because of its simplicity and breadth of libraries, but C++ offers some advantages that make it an effective tool for data analysis. This chapter explains why C++ can be used in the data science industry and how it makes it possible. C++ is fast and efficient. In C++, code is compiled into machine code before execution. This compilation enables C++ programs to execute significantly faster than an interpreted language such as Python. C++ can perform well when dealing with extensive data or computationally intensive tasks. C++ algorithms can use lower memory management and better code execution to process data faster. ...

Get Expert C++ - Second Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.