Python vs R: Which is better f0r Data Science?

Python vs R programming language

Technological orders are changing, and the world is watching the wonders of Artificial Intelligence, Business Intelligence, Cloud Technologies, and Data Science. We’re witnessing the most evolutionary times of the 21st century, where we can clearly see the shift from an offline to an online world.

Among all the technologies mentioned above and fields of study, the most trending term nowadays is undoubtedly Data Science. Everywhere you go, you see people talking about data science. Every social media you browse, you can see ads about data science.

You’re reading the article, Python vs R: Which one is better for Data Science?

We hope you must have gained enough knowledge about the terms like big data, data analytics, and data science until now by exploring the overview, job profiles, salaries, and tools used. If you still have any doubt about what data science is and why it is gaining hype in the market, you can explore these articles:

Important Data Science FAQs In 2022

What Is Big Data, And Why Is It Gaining Hype In The Market?

When you enter into data science field, there comes a need to learn a programming language. Of all the programming language, there are only a few that let us perform data analytics. These are Python, R language, Scala, and Java.

Scala and Java are less-used programming languages and the demand for these two is very rare in today’s perspective. The remaining two are Python programming language and R.

The scope of these 2 programming languages is undefined and infinite. Whether both of these programming languages are very much similar in nature but there are a few major differences that makes one better from other in the field of data analytics.

You’re reading the article, Python vs R: Which one is better for Data Science?

Python vs R

Python programming language is undoubtedly the easiest and most useful programming language that you can learn in the 21st century. In this article, we’re going to discuss a few exciting facts about Python that you know before jumping right into learning it.

In the year 2020, IEEE Spectrum has listed Python #1 in their list of top programming languages. Python has been able to carry its #1 badge since 2017.

After its foundation on 20 Feb, 1991, Python has been used mostly for the procedural and object oriented programming. In past few years, the popularity of Python took an instant high and it has become #1 programming language in the market within the matter of time.

You’re reading the article, Python vs R: Which one is better for Data Science?

If we talk about R language, it is a powerful open-source software environment for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. It is widely used among statisticians and data miners for developing statistical software and data analysis.

It was developed by Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues.

Python vs R programming language: Which one is better?

R programming language and Python are both free & open-source software languages that have been around for a while. When comparing R and Python, some feel that Python is a more general, easy & useful programming language.

Python is often taught in introductory programming courses and is the primary language for multiple machine learning workflows, RStudio reports. R is typically used in statistical computing. RStudio notes that R is often taught in statistics and data science courses. It adds that many machine learning interfaces are written in Python, while many statistical methods are written in R.

You’re reading the article, Python vs R: Which one is better for Data Science?

Python has more than 1 Lacs libraries and most of them are being used in data analysis. It is difficult to learn these much libraries so there are a few that most of the companies use. These most used libraries are NumPy, Pandas, Matplotlib, and Seaborn.

If we talk about R programming language, it has fewer libraries are are easy to learn.

Python has easy syntax and is easy to learn, while R has relatively complex syntax.

In the conclusion, Python programming language is more popular and has a vast user base around the world. Python community majorly consists of developers and programmers. Whereas, R is less popular among global users and its community include scientists and R&D professionals who frequently rely on data analysis.

You’re reading the article, Python vs R: Which one is better for Data Science?

The popularity of R is decreasing with each passing year while most of the top companies like Google and Microsoft are preferring Python for their data analysis tasks.

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