Original article can be found here (source): Artificial Intelligence on Medium
Which Language better for Data Science?
In case you’re new to information science, or your association is, you’ll have to pick a language to break down your information and a keen method to settle on that choice. To be completely forthright: While I can compose Python, my experience is for the most part in the R people group — however I’ll attempt my best to be non-fanatic.
Fortunately you don’t have to perspire the choice excessively hard: both Python and R have huge programming biological systems and networks, so either language is reasonable for practically any information science task.
The two most generally utilized programming language files, TIOBE and IEEE Spectrum, rank the most well known programming dialects. They utilize various criteria for notoriety, which clarifies the distinctions in the outcomes (TIOBE is altogether founded on web crawler results; IEEE Spectrum additionally incorporates network and internet based life information sources like Stack Overflow, Reddit, and Twitter). Of the dialects on each rundown that are usually utilized for information science, both files list Python as the most well known language for information science, trailed by R. MATLAB and SAS come in third and fourth spot, individually.
Since we’ve built up that Python and R are both acceptable, well known decisions, there are a couple of components that may influence your choice one way or the other.