• Work
  • Our Expertise
    • Web Development
      • Mean Stack Development
      • Angular JS Development
      • Node JS Development
      • PHP Development
      • Laravel Development
      • HTML5 Development
      • React JS Development
    • Mobile Development
      • iOS Development
      • Android Development
      • React Native Development
      • IONIC Development
  • Services
  • Company
    • About Us
    • Our Process
    • Why Us
    • Business model
    • Careers
  • Blog
  • Contact Us
Thinkwik Blogs
  • Work
  • Our Expertise
    • Web Development
      • Mean Stack Development
      • Angular JS Development
      • Node JS Development
      • PHP Development
      • Laravel Development
      • HTML5 Development
      • React JS Development
    • Mobile Development
      • iOS Development
      • Android Development
      • React Native Development
      • IONIC Development
  • Services
  • Company
    • About Us
    • Our Process
    • Why Us
    • Business model
    • Careers
  • Blog
  • Contact Us
Home  /  Confused to choose between Python and R? Lets understand these in detail
10 September 2018

Confused to choose between Python and R? Lets understand these in detail

Written by Dhaval Patel
Leave a Comment

Being a techie, you must be familiar with a few popular programming languages. And when it comes to data analysis, choosing between R and Python is a hell of a task. These both are among the most powerful open-source programming languages, which are primarily used in the data analytics nowadays. Reason being, these both are quite simple, free and are apt even for a fresher to work on. This, however, creates a dilemma for beginners to whether they should learn Python or R for data science. Though here in this article, we will provide you with both the programming languages and their uses. This will help you prioritise to learn python of R for data analysis. So, here we go!

R Language

It has been more than two decades of the existence of R language and over this period of time, R has earned a huge respect in the field of data analysis. Owing to its rich ecosystem, packages and data library, it has become among the prime choices of developers for statistical analysis. Apart from that, what makes the R stand out of the other statistical languages is its amazing tools and ability to give the best output.

Along with that, it has a large community that provides a great supporting system. These communities are a great help for those who have questions regarding the uses of R language. In addition, you can also download thousands of publicly available packages to use with R that makes it much more proficient.

Python Language

If you are wondering that what is python used for, so let me tell you that Python has the ability to perform almost all the tasks that are possible with the R language. Owing to its limited data analysis and machine learning libraries, there was a time when Python wasn’t able to catch up with the pace of other languages. However, this is not the case now! Today, when it comes to counting the Python uses, you will find ample of reasons for using the Python programming language. Some of the best features Python offers include its ability to read and maintain the code, multi-programming support, compatibility with all the major platforms, and a number of open-source frameworks and tools. Besides, it provides a dynamic and advanced API, which is best for the artificial intelligence, machine learning and deep learning.

R vs Python: Which is Best Language for Data Science?

Well, it has ages now that we are having the R vs Python debates on the internet and even in real life as well. While a lot of developers incline for the Python language, many others recommend R language too.

Python is a great choice for projects that require fetching the data, performing repetitive analyses and generating graphics. Python, being a general programming language, is great for coding and debugging. Another thing that makes Python better than R language is that it is easy to learn. Hence, it is the best choice for freshers on any given day!

The R language, on the other hand, is a great choice for statistical projects that require a one-shot data dump. Apart from that, it helps to write the complex statistical models using a few lines or phrases only. What makes it a good choice for data scientists and statisticians is huge community support and the ability to ease the use of complex formulas.

Python vs R: The Conclusion

You must understand that both the languages have their own set of qualities that make them stand where they are today. When it comes to manipulating the data and performing tasks in the repetitive mode, there is nothing better than Python. And, when you are working on a project that is related to the ad hoc analysis and requires to explore multiple databases, R is the language you should opt for. Both Python and R languages are quite similar and provide almost everything a developer wants from his/ her project. Today, a large number of programming tasks are feasible for the languages.

In these differences between Python and R language, there are many shared positive points that make both Python and R a good choice for programming. While we have some expensive commercial statistical software such as SAS and SPSS, both R and Python are the open-source tools and completely free to use. Before the new developments appear in any commercial platforms, they appear first in the R followed by Python. Python and R have the large communities that provide online support for their users. Hence, both R and Python are apt for your development. No matter what language you choose, both R and Python are capable enough to give you the best results. All you need to do is to select the most suitable language as per your project!

Dhaval Patel

 Previous Article Here is Everything that Happened in Samsung Galaxy Note 9 Event
Next Article   A Smart Recap of Apple’s iPhone Xs, XR and Watch Event 2018

Related Posts

  • ai-machine-learning

    6 Ways to Scale AI and ML for Increased Business ROI – 2020

    February 24, 2020
  • 6 Ways Businesses can Enrich Experiences with VR Apps in 2020

    6 Ways Businesses can Enrich Experiences with Virtual Reality Apps in 2020

    February 6, 2020
  • Amp for Gmail - Google email Update for 2019

    Google launches AMP support on Gmail 2019 | AMP for Email | Great News for Affiliates

    November 27, 2019

Leave a Reply

Cancel reply

Related Posts

  • Confused to choose between Python and R? Lets understand these in detail

Popular Posts

Recent Posts

  • Thinkwik: Employee Safety, Work Continuity, And COVID 19
  • 6 Ways to Scale AI and ML for Increased Business ROI – 2020
  • 6 Ways Businesses can Enrich Experiences with Virtual Reality Apps in 2020
  • 88 Influential Events that Shaped this Decade
  • Flutter 1.12 – Biggest Flutter release of the year 2019

Categories

Tags

ai (5) Amazon (3) android (2) angular (2) Angular applications (2) Apple (10) Apple 2019 (5) apple events (3) Apple Iphone (4) apple iphone 11 (2) Apple news (6) Apple Product (3) Artificial Intelligence (5) augmented reality (4) bug (2) Dart (2) Facebook (6) flutter (2) flutter framework (2) Future Technology (3) github (3) google (17) google flutter (2) google news (6) Google stadia (3) Instagram (3) iOS (3) JavaScript (4) Machine Learning (3) Microsoft (8) microsoft windows 10 (2) Mobile App Development (4) programming (2) react (4) ReactJS (3) Samsung (3) samsung galaxy note 10 (2) Samsung Galaxy Note 10 release date (2) security (3) tech news (4) technology (8) tech update (3) tvOS (2) Windows 10 update (3) windows 10 upgrade (2)

hello@thinkwik.com

india

1110-Zion Z1,
Nr. Avalon Hotel,
Sindhu Bhavan Marg, Bodakdev,
Ahmedabad, Gujarat 380054

google maps

usa

Thinkwik LLC,
103 Mindy Lane,
Piscataway-08854,
USA

google maps

services

  • Mobile Development
  • Website Development
  • UX/UI Design
  • Internet Marketing
  • Support

about

  • About Us
  • Why Us
  • How We Work
  • Business Model
  • Careers
Copyright © 2020 Thinkwik | All rights reserved.