Python is a general purpose programming language that was named after the Monty Python and Guido van Rossum, the creator of Python.
What is it?
Known for its clear syntax and readability.
What can you do with it?
Python can be used to program web and desktop applications. It is also heavily used in the sciences to analyse data.
What’s the learning curve like?
It is fairly easy to learn compared to more verbose languages like Java or C++. Python is a very readable language, which makes it easier to learn because you won’t waste time learning arcane syntax. This makes Python a great language for beginners and allows you to focus on programming concepts and paradigms early.
Why is it in-demand?
It is a very consistent language and works extremely well right out of the box. Python can complete the same tasks with fewer lines of code and it feels more intuitive and natural. This convenience and ease of use have made Python a popular language all around.
Who uses Python?
Data engineers, data scientists, and developers. Python is not industry specific, but task specific—great for data processing, business intelligence, and some application development.
R is a powerful language used widely for data analysis and statistical computing.
R is a GNU package. The source code for the R software environment is written primarily in C, Fortran, and R. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems. While R has a command line interface, there are several graphical front-ends available.