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Introduction to Python

  • Peeyush TaoriEmail author
  • Hemanth Kumar Dasararaju
Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 264)

Abstract

As data science is increasingly being adopted in the industry, the demand for data scientists is also growing at an astonishing pace. Data scientists are a rare breed of “unicorns” who are required to be omniscient and according to popular culture, a data scientist is someone who knows more statistics than a programmer and more programming than a statistician. One of the most important tools in a data scientist’s toolkit is the knowledge of a general-purpose programming language that enables a data scientist to perform tasks of data cleaning, data manipulation, and statistical analysis with ease. Such requirements call for programming languages that are easy enough to learn and yet powerful enough to accomplish complex coding tasks. Two such de facto programming languages for data science used in industry and academia are Python and R.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.London Business SchoolLondonUK
  2. 2.Indian School of BusinessHyderabadIndia

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