When comparing kanger.dev - Data Science Stack vs Wolfram Mathematica, the Slant community recommends kanger.dev - Data Science Stack for most people. In the question“What are the best programming languages for data science?” kanger.dev - Data Science Stack is ranked 15th while Wolfram Mathematica is ranked 20th. The most important reason people chose kanger.dev - Data Science Stack is:
Simple enough for beginners to learn what they want to learn...
Ranked in these QuestionsQuestion Ranking
Pros
Pro Beginner friendly
Simple enough for beginners to learn what they want to learn...
Pro Lots of functionality
Pro Built-in CPU Parallelization
Pro Very mature
Wolfram Mathematica has been around for a long time without any major changes in the basic design.
Pro Coherent API over different domains
Pro Supports units and can do much more than just maths
Other platforms severely lack this useful feature.
Pro Fully integrated symbolic processing
Pro Very powerful and fast, also possible to get for free
Cons
Con Unintuitive data types and strange assignment statements
Representation of data still remains highly fragmented technically and one fumbles between data types and stumbles on strange assignment statements to attempt conversions of meaning.