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The practice of data science requires the use of analytics tools, technologies and programming languages ​​to help data professionals gain insight and value from data. A recent survey by around 24,000 data professionals by Kagal revealed that Python, SQL and R are the most popular programming languages. So far the most popular, Python (used 83%) was. In addition, 3 out of 4 data professionals recommended that aspiring data scientists first learn python.

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Kagle surveyed 23,859 data professionals (2018 Machine Learning and Data Science Survey) worldwide in October 2018. His survey included various questions about data science, machine learning, education and more. The paper issued the raw survey data and many of its members have analyzed the data (see link above). I will search their survey statistics over the next few months. When I find something interesting, I will make sure to post it here on my blog. Data science and machine learning programming languages ​​used in today's post 2018 are about data professionals.

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Most popular programming languages

The survey included a question, "Which programming languages ​​do you regularly use? (Select all that apply). "On average, data professionals used 3 (medieval) languages ​​in 2018. As seen in Figure 1, the top programming language Python (83% of respondents said they used this language) in 2018, followed by SQL (44%) and R (36%). The top 10 languages ​​are C / C ++, Java, Javascript / TypeScript, Bash, MATLAB, C # /. Round is done by Net and Visual Basic / BVA.

Of the data professionals who identified as a data scientist, 93% used Python, 54% used SQL and 46% used R.

The survey also asked the respondents, "Which special programming language do you use most often?" As seen in Figure 2, more than half (54%) of data professionals often use Python. The remaining programming languages ​​are very popular, only 13% of data professionals said that they use R and 8% say that they use SQL.

By comparing the use of programming language from 2017, we see that the use of Python has increased by 23 percent (60 percent usage in 2017), 2 percent of the SQL usage (44 percent used in 2017) have increased. However, the use of R-10 percentage points (46% usage in 2017) decreased.

Which programming language is recommended?

In the survey, the respondents were also asked about which programming language they would learn, which would recommend an aspiring data scientist to learn first (see Figure 3). Results showed that 3 out of 4 data professionals would recommend Python as the aspiring programming language of programming scientists for first learning. The rest of the programming languages ​​have been recommended at a very low rate (recommended by 12% of respondents, R. SQL has recommended 5% respondents.

When data professionals are identified as data scientists, we find similar recommendations for aspiring data scientists: Python (78%), R (13%) and SQL (5%)

Summary

The results of paper surveys of more than 23,000 data professionals illustrate a clear picture about the most popular programming languages ​​for data professionals. Python is the most popular programming language after so far, SQL and R, it is not surprising that Python is the most recommended programming language for data scientists. Therefore, even though data professionals have access to many different programming languages, it seems that the default programming language for Python data science and machine learning is becoming.

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