Python vs R for Artificial Intelligence, Machine Learning, and Data Science -- InnoArchiTech

Given that, I've written this series to help give guidance to those wanting to start learning more about data science, machine learning, and/or artificial intelligence, and need help choosing a language. This series is also intended for practitioners that wonder which language and packages work best in certain scenarios. Although we'll cover most considerations in this series, including fundamental computer science concepts, the short answer is that you should learn Python and R, and should definitely learn SQL too. If you're really feeling ambitious, give Java, C, and Scala a shot as well. While not specific to data science, the TIOBE Index is a great, up-to-date way to assess the popularity and relevance of different programming languages. When I say'learn', I mean learn fundamental programming concepts and control flow structures, which are applicable to any computer programming language.