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Python or R ?

20/12/2018: Python or R in tomorrow’s world? Python and R are popular programming languages extensively used by data scientists today. But what about tomorrow – which one is going to be more useful for you in the future? The aim of this article is to help you answer that question. We’ll discuss the two languages, look at some of the differences between them, and analyse the trends in usage and popularity. The case for Python According to the 2018 IEEE Spectrum rankings, Python is the top programming language in 2018. It’s based on C, and is closely followed in the rankings by C++ (2nd), Java (3rd)...

Statistical data analysis - should you choose R or Python?

04/02/2018: As the volume of data held by your business continues to grow, your data science team will need a new set of tools to make sense of it. Although tools like Microsoft Power BI can help, in depth statistical analysis may require custom applications, developed and tailored to your needs. Typically this means training data scientists to use a programming language, the most popular of which are currently Python and R. Why choose R? First released publicly in 1995, R has been specifically designed for statistical computing and graphics. This focus on analytics makes R a popular choice for data...

Python or R for Data Scientists

24/01/2018: Python and R are the two leading contenders for data scientists, with many statisticians running out to complete an R or Python data science course. However before investing in R training or in a Python training course, it is essential that you investigate which of these languages is best for your needs and for data analysis. What is so great about Python Data Science: Since its release in 1989, Python offers many benefits for data scientists such as object-oriented programming, and powerful integrated development environments (IDE’s). Furthermore, there is a significant Python community...

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Python or R ?

Statistical data analysis - should you choose R or Python?

Python or R for Data Scientists