Skip to Content
Data Wrangling with Python
book

Data Wrangling with Python

by Dr. Tirthajyoti Sarkar, Shubhadeep Roychowdhury
February 2019
Beginner to intermediate
452 pages
7h 6m
English
Packt Publishing
Content preview from Data Wrangling with Python

Chapter 1

Introduction to Data Wrangling with Python

Learning Objectives

By the end of this chapter, you will be able to do the following:

  • Define the importance of data wrangling in data science
  • Manipulate the data structures that are available in Python
  • Compare the different implementations of the inbuilt Python data structures

This chapter describes the importance of data wrangling, identifies the important tasks to be performed in data wrangling, and introduces basic Python data structures.

Introduction

Data science and analytics are taking over the whole world and the job of a data scientist is routinely being called the coolest job of the 21st century. But for all the emphasis on data, it is the science that makes you – the practitioner ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Wrangling with Python

Data Wrangling with Python

Jacqueline Kazil, Katharine Jarmul
Python: End-to-end Data Analysis

Python: End-to-end Data Analysis

Phuong Vothihong, Martin Czygan, Ivan Idris, Magnus Vilhelm Persson, Luiz Felipe Martins

Publisher Resources

ISBN: 9781789800111Supplemental Content