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Python or R : Which to choose ?

Python ou R

Python or R? The answer in this match in 5 rounds

First of all, it must be understood that no programming language is better than another.  However, the fact that Python is more widely used in academia and therefore predominant later in industry is a considerable advantage if you want to train yourself in Data Science and Machine Learning.

Python VS R : 1 - 0

Depending on the field you work in, there are real differences between Python and R that you need to know in order to choose your programming language. 

  • Machine Learning: it consists of two main steps: the model design and the prediction phase. The first one is done upstream by quite heavy calculations while the predictions are made in real time. Nevertheless, the choice of Python or R for each of these steps does not influence a user’s execution time.

Python VS R : 2 - 1

  • Libraries : Both languages have a multitude of libraries adapted to Machine Learning. More than 5000 libraries are available in R in a wide variety of domains. Python has fewer but some are almost exhaustive such as Pandas, NumPy, Scikit Learn, SciPy or Matplotlib

Python VS R : 3 - 2

  • Development :  Many people find Python quite easy to learn, asHigh-Level type it is closer to the human language, while R requires more effort to learn because of its rather unclear syntax. However, they both have good development environments such as Spyder for Python or Rstudio for R.

Python VS R : 4 - 2

  • Speed: Initially, R and Python are two relatively slow languages. The emphasis on ease of programming in Python makes this language necessarily slower than low-level languages like R. In addition, R has recently updated its computationally intensive operating systems making it much faster. To make up for this delay, some Python libraries interface with the C language.

Python VS R : 4 - 3

  • Visualization: In Data Science, data visualization is essential in order to analyze the results, so it is an important factor in choosing your language. Python is not to be complained in this domain but the R ggplot2 package gives a big advantage over Python and its Matplotlib package for its diversity and ease of use. 

Python vs R : 4 - 4

Despite this draw, the DataScientest training prefers Python for its ease of learning and its predominance in the professional world.

Nevertheless, to be able to adapt to all your requests, many of our course modules are also available on R! Do not hesitate to contact us for more information!


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