Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Data Wrangling with Python

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

Arrow left icon
Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789800111
Length 452 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
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
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Data Wrangling with Python
Preface
1. Introduction to Data Wrangling with Python FREE CHAPTER 2. Advanced Data Structures and File Handling 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

Advanced Data Structures


We will start this chapter by discussing advanced data structures. We will do that by revisiting lists. We will construct a stack and a queue, explore multiple element membership checking, and throw a bit of functional programming in for good measure. If all of this sounds intimidating, then do not worry. We will get to things step by step, like in the previous chapter, and you will feel confident once you have finished this chapter.

To start this chapter, you have to open an empty notebook. To do that, you can simply input the following command in a shell. It is advised that you first navigate to an empty directory using cd before you enter the command:

docker run -p 8888:8888 -v 'pwd':/notebooks -it rcshubhadeep/packt-data-wrangling-base:latest

Once the Docker container is running, point your browser to http://localhost:8888 and use dw_4_all as the passcode to access the notebook interface.

Iterator

We will start off this topic with lists. However, before we get into...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image