© Sayan Mukhopadhyay 2018
Sayan MukhopadhyayAdvanced Data Analytics Using Pythonhttps://doi.org/10.1007/978-1-4842-3450-1_1

1. Introduction

Sayan Mukhopadhyay1 
(1)
Kolkata, West Bengal, India
 

In this book, I assume that you are familiar with Python programming. In this introductory chapter, I explain why a data scientist should choose Python as a programming language. Then I highlight some situations where Python is not a good choice. Finally, I describe some good practices in application development and give some coding examples that a data scientist needs in their day-to-day job.

Why Python?

So, why should you choose Python?
  • It has versatile libraries. You always have a ready-made library in Python for any kind of application. From statistical programming ...

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