What is Python and R
Posted on May 20, 2020
In the real world of data science, Python and R users intersect a lot. So whichever industry or discipline you are interested in you are likely to run into projects done in both languages. It strengthens your data science communication skills. Python is considered a more general language than R, which is purpose-built for large datasets and statistical analysis. R and Python are both open-source programming languages with a large community. New libraries or tools are added continuously to their respective catalogues.
R is mainly used for statistical analysis while Python provides a more general approach to data science
In a nutshell, Python is better for data manipulation and repeated tasks, while R is good for adhoc analysis and exploring datasets. R has a steep learning curve, and people without programming experience may find it overwhelming. Python is generally considered easier to pick up
What can R do?
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
What can Python do?
The most alluring factor of Python is that anyone aspiring to learn this language can learn it easily and quickly. When compared to other data science languages like R, Python promotes a shorter learning curve and scores over others by promoting an easy-to-understand syntax. Python seems to be preferred for data science and big data.
Why Learn R?
- R is open-source and freely available
- R is cross-platform compatible
- R is a powerful, scripting language
- R has widespread acclaim
- R is highly flexible and evolving
- Publishers love R
- R as a vast, vibrant community and resource bank
Why Learn Python?
- Python is easy to learn
- Python is easier to debug
- Python is widely used
- Python is an object-oriented language
- Python is open-source
- Python is a high-performance language
- Python works with Raspberry Pi
Why are R and Python useful?
Python developers are in high demand – not only because the language is so popular and widely used but mostly since Python became a solution in many different areas. From web applications to data science and machine learning. However, it is not enough to just master the language itself.
Python Job Profiles
- Software Engineer
- Python Developer
- Research Analyst
- Data Analyst
- Data Scientist
- Software Developer
- Big Data Analyst
There is a very big demand of R. As R technology is an open source programming language and data miners use it for developing statistical software and data analysis. R is demanded more in start-ups to analyse & visualize data. It is one of the most demanding programming languages among data scientists and statisticians.
R Job Profiles
- Data Analysis
- Statistical Computing
- Machine Learning algorithms
- scientific research
- Data Scientists
There are online courses for just learning Python and R in Coursera. However only full-time course for just Python and R programming language is not available for international students in USA. Those languages are taught as a part of the curriculum of data analytics and data science.
Some of the popular Universities MS in Data Analytics and Data Science in the U.S.
- Stanford University
- Columbia University – New York
- University of California – Berkeley
- University of Southern California
- Georgetown University
- University of Chicago
- Indiana University Bloomington
- Louisiana State University