Why Python is the real programming language of data science, not R

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Python and R are among the many most steadily talked about expertise in job postings for knowledge science positions. However studies on which programming language is definitely used most frequently on the job for these professionals are conflicting, in line with a Thursday report from Cloud Academy.

The TIOBE Programming Neighborhood Index exhibits R as being on a downward pattern this 12 months by way of search engine requests. Nevertheless, a Kaggle survey of 16,000 knowledge professionals discovered that whereas Python was the preferred programming language total, statisticians and knowledge scientists have been extra prone to report utilizing R at work than different roles. Amongst knowledge scientists, 87% reported utilizing Python and 71% reported utilizing R at work, that report discovered.

SEE: Job description: Knowledge scientist (Tech Professional Analysis)

Cloud Academy analyzed knowledge engineer job descriptions to see what applied sciences corporations have been looking for essentially the most usually. There was considerably much less demand for knowledge engineers proficient in R in comparison with these proficient in Python, it discovered. Practically 66% of knowledge engineer job postings talked about Python, in comparison with simply 18% of postings that talked about R.

“Python is thought to be an intuitive language that is used throughout a number of domains in pc science,” the report said. “It is simple to work with, and the info science neighborhood has put the work in to create the plumbing it wants to resolve advanced computational issues. It is also that extra corporations are shifting knowledge initiatives and merchandise into manufacturing. R shouldn’t be a common objective programming language like Python.”

Python is presently among the many fastest-growing programming languages on the earth, largely as a result of ease of studying concerned, the explosion of knowledge science and synthetic intelligence (AI) within the enterprise, and the massive developer neighborhood round it.

Different in-demand expertise for knowledge engineers embody SQL, Spark, Hadoop, Java, Amazon Net Providers (AWS), Scala, and Kafka.

For extra info on how one can develop into a knowledge scientist, try this TechRepublic Cheat Sheet.

The large takeaways for tech leaders:

  • 66% of knowledge engineer job postings talked about Python, in comparison with simply 18% of postings that talked about R. — Cloud Academy, 2018
  • In-demand expertise for knowledge engineers embody SQL, Spark, Hadoop, Java, Amazon Net Providers (AWS), Scala, and Kafka. — Cloud Academy, 2018

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