Go Vs Python: For Machine Learning
Switching the language which is new and quite unknown to you is a big challenge when you don’t have much experience of that specific language. Here, in this article, we are going to discuss the two popular languages for machine learning. Yes Go and Python, let’s decide what you should choose for your next project.
Why Use Python for Machine Learning
- Simplicity of Consistency
- Exclusive Libraries
- Established Community
Disadvantages of using Python for ML
- Restricted Speed
- Not innate for Mobile environments
- Not Suitable for Large Enterprises
Why Should You Choose Go over Python?
- Simplicity
- Compilation Capabilities
- Concurrency and Faster performance
- Native Support
- IDE & Debugging
- Clear Syntax
Benefits of Using Go for Machine Learning
- AI Libraries
- Exceptional Computation Speed
- Minimalistic & Readable
Also, we have compared both the languages with some performance parameters and try to know which language has the upper hand. At the end, we are able to say that if you want to deal with people, use Python and if you want to deal with servers, use Golang. Hope you got your answer. Want to know more about Go and Python for ML? Jump to our article and know more.