Wednesday 13 July 2016

Python or R: Which to Learn First

If you are interested in Big Data as a career choice and are aware of the skills required to be an expert in this field, then chances are high that you are aware of the role of R and python programming languages for analyzing data. In case you are confused about which language to learn first, this blog will guide you towards making the right decision.
R and Python are free solutions which are user friendly and can be used for data analysis. It is normal for beginners to wonder which language to learn first; but the good thing is both are excellent choices.

Recent studies on the use of programming languages has revealed the following:


Why You Should Choose R?


R has an active, dedicated and thriving community which helps beginners by resolving their queries and offering assistance on various aspects of R. Also, R has an abundance of packages that makes it both accessible and functioning. It is also compatible with Java, C, C++.
R programming does heavy tasks in statistical analysis and also creates high definition graphics. R can perform complicated mathematical operations and the array centered syntax of this language provides great help to persons with little or no knowledge of coding.

Why You Should Choose Python?


Unlike the specialized nature of R, Python is a language that performs a wide range of tasks like engineering and wrangling data, building web applications and scraping websites among others. If have knowledge in OOP, then it is much easier to learn than R programming. Also the code in python is robust, unlike R.

Though its data packages are limited, Python when used in conjunction with tools like Numpy, Pandas, Scikit, it comes pretty close to the comprehensive functionality of R. It is also being adopted for tasks like statistical work of intermediate and basic complexity as well as machine learning.

For more details please visit our blog at http://www.dexlabanalytics.com/blog/python-vs-r-which-you-want-to-learn-first
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