Python and R are among the most popular programming
languages for Data Science and are often found opposite to
each other in the room of debate on the fact that which one is
more valuable. However, both the languages have their
specialized features which makes them unique.
But what is making Python very popular?
One of the main reasons is its syntax simplicity and
operability on different environments making it easy for
programmers to write maintainable, large scale robust code
while in R, programming environment is so complex that it
requires a special training.
Libraries: Python provides data scientists with a set of
powerful and efficient libraries like Scikit, Numpy, Pandas,
Scipy that assist data analysis and statistical computing.
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Many big names use (or have used) Python for their products/services. Some of these
are:
Python introduction
Python introduction
Python introduction
Python introduction

Python introduction

  • 3.
    Python and Rare among the most popular programming languages for Data Science and are often found opposite to each other in the room of debate on the fact that which one is more valuable. However, both the languages have their specialized features which makes them unique. But what is making Python very popular? One of the main reasons is its syntax simplicity and operability on different environments making it easy for programmers to write maintainable, large scale robust code while in R, programming environment is so complex that it requires a special training. Libraries: Python provides data scientists with a set of powerful and efficient libraries like Scikit, Numpy, Pandas, Scipy that assist data analysis and statistical computing.
  • 4.
    NASA Netflix SpotifyWalt Disney Google Expedia Pinterest Amazon Youtube Reddit Shutterstock Uber IBM Quora Discus Dropbox Facebook Hike MIT Apple Many big names use (or have used) Python for their products/services. Some of these are: