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Data Wrangling with Python

You're reading from   Data Wrangling with Python Creating actionable data from raw sources

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789800111
Length 452 pages
Edition 1st Edition
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Authors (2):
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Shubhadeep Roychowdhury Shubhadeep Roychowdhury
Author Profile Icon Shubhadeep Roychowdhury
Shubhadeep Roychowdhury
Dr. Tirthajyoti Sarkar Dr. Tirthajyoti Sarkar
Author Profile Icon Dr. Tirthajyoti Sarkar
Dr. Tirthajyoti Sarkar
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Table of Contents (12) Chapters Close

Data Wrangling with Python
Preface
1. Introduction to Data Wrangling with Python 2. Advanced Data Structures and File Handling FREE CHAPTER 3. Introduction to NumPy, Pandas, and Matplotlib 4. A Deep Dive into Data Wrangling with Python 5. Getting Comfortable with Different Kinds of Data Sources 6. Learning the Hidden Secrets of Data Wrangling 7. Advanced Web Scraping and Data Gathering 8. RDBMS and SQL 9. Application of Data Wrangling in Real Life Appendix

Chapter 2. Advanced Data Structures and File Handling

Note

Learning Objectives

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

  • Compare Python’s advanced data structures

  • Utilize data structures to solve real-world problems

  • Make use of OS file-handling operations

Note

This chapter emphasizes the data structures in Python and the operating system functions that are the foundation of this book.

You have been reading a chapter from
Data Wrangling with Python
Published in: Feb 2019
Publisher: Packt
ISBN-13: 9781789800111
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