Many reasons: - Easy to learn, no baggage of types. Less verbose. - New comer friendly. Newbies don't care about performance. Data scientists are usually not

Many reasons: - Easy to learn, no baggage of types. Less verbose. - New comer friendly. Newbies don't care about performance. Data scientists are usually not programmers and they loved it. - The ecosystem including IDEs, documentation, books, tutorials - Amazing library and package ecosystem. (pandas, pip, numpy, Django, pytorch, Virtual Env etc.) - CLI friendly and can be used easily for scripting.