Add to Chrome
Add to Edge
Add to Firefox
Add to Opera
Add to Brave
Add to SafariWhen comparing Objective-C vs Wolfram Mathematica, the Slant community recommends Wolfram Mathematica for most people. In the question“What are the best (productivity-enhancing, well-designed, and concise, rather than just popular or time-tested) programming languages?” Wolfram Mathematica is ranked 60th while Objective-C is ranked 62nd.
Question Ranking
Pros
Pro Well Documented
Objective-C's documentation exists on Apple's website, and explains language features in detail.
Pro Develop Apple applications
Similar to C# and Java, but used to develop native applications for Apple hardware.
Pro Objective-C supports an open style of dynamic binding
A style that can accommodate a simple architecture for interactive user interfaces.
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 Odd Syntax
Objective C's syntax is very alien to other languages. Learning Objective-C first will fail to expose you to a syntax style that would be relatively familiar in almost any other language.
Con Might as well learn Swift
Swift works almost anywhere Objective C does, and it was designed to replace Objective C.
Con One of the biggest mistakes ever.
It was meant to be one of the C-style languages, but has such bad syntax design it actually is the odd duck.
Con Apple-centric and obsolete
Con Tied into Apple's eco-system.
Con More Technical
To be able to do basic tasks in Objective-C requires a strong understanding of programming.
Con Requires Understanding of C-language.
Objective-C is built on top of C, and as such, requires at least a basic understanding of how to program in C.
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.
Con Proprietary
