I'm taking a machine learning course that introduces the related assignments as such that a student may use either Pandas or SFrame in solving them. As a beginner, it's hard for me to assess which approach would be more beneficial for me in the long run. Hence the question; should I prefer Pandas or SFrame for learning purposes?Initially I might've preferred Pandas to make sure I learn the proper foundations first, so to speak. However, after reading about this online, SFrame appears to be very popular after having been made open source. Can it be considered a Pandas replacement from a (future) data scientist's point of view? Thanks a bunch! Protips always welcome in comments ;)
Pandas v. SFrame in learning data science
machine learning;python;data mining;pandas
SFrame is not used much in industry, so I'd stick to pandas or Spark DataFrames. But they're all rather similar, and you should not spend much time thinking about it: it is easy to pick these things up, and employers understand this. Concentrate on the algorithms; that's the real foundation, not the tools.