The full-fledged programming nature of Python makes it a perfect fit for implementing algorithms. Its packages rooted for specific data science jobs. ... While there is a need for graphics, Python's matplotlib emerges as a good package, and for machine learning tasks, scikit-learn becomes the ideal alternate.

Newer data scientists gravitate toward Python because of its ease of use, which makes it accessible. So popular in fact, a staggering 48 percent of data scientists with five or fewer years experience rated Python their preferred programming language.

R is mainly used for statistical analysis while Python provides a more general approach to data science. R and Python are state of the art in terms of programming language oriented towards data science. Learning both of them is, of course, the ideal solution. ... Python is a general-purpose language with a readable syntax.

Several studies suggest that Python is faster than several widely used programming languages. The programmers can further speed up Python applications by using tools and algorithms. Unlike Python, R was not developed as a general-purpose programming language. It was developed for statisticians and data analysts.