This document compares the programming languages R and Python. It states that Python codes are more robust and easier to maintain than R codes. While R is better for data visualization and has many packages for various tasks, Python has fewer main packages and strives for simplicity with one obvious way to accomplish tasks. The document also notes that R is easier for beginners but Python is better for deep learning and building new applications from scratch.

1. R
PYTHON
R codes need more
maintenance.
Python codes are
more robust and
easier to maintain.
MapReduce uses
batch processing
R is better used for
data visualization.
R has hundreds of
packages or ways to
accomplish the same
task. It has multiple
packages for one
task.
Python is designed on
the philosophy that
“there should be one
and preferably only
one obvious way to
do it”. Hence it has
few main packages to
accomplish the task.
Python is better for
deep learning.
V E R S U S
COMPARING THE 2 TYPES OF SOFTWARE COURSE
R is easy to start
with. It has simpler
libraries and plots.
Learning python
libraries can be a bit
complex.
R is a command line
interpreted
language.
Python strives for
simple syntax. It has
a similarity to the
English language.
Python is good for
building something
new from scratch. It
is used for
application
development as well.
R makes it easy to
use complicated
mathematical
calculations and
statistical tests.
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