Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
The Pandas Workshop

You're reading from  The Pandas Workshop

Product type Book
Published in Jun 2022
Publisher Packt
ISBN-13 9781800208933
Pages 744 pages
Edition 1st Edition
Languages
Authors (4):
Blaine Bateman Blaine Bateman
Profile icon Blaine Bateman
Saikat Basak Saikat Basak
Profile icon Saikat Basak
Thomas V. Joseph Thomas V. Joseph
Profile icon Thomas V. Joseph
William So William So
Profile icon William So
View More author details

Table of Contents (21) Chapters

Preface Part 1 – Introduction to pandas
Chapter 1: Introduction to pandas Chapter 2: Working with Data Structures Chapter 3: Data I/O Chapter 4: Pandas Data Types Part 2 – Working with Data
Chapter 5: Data Selection – DataFrames Chapter 6: Data Selection – Series Chapter 7: Data Exploration and Transformation Chapter 8: Understanding Data Visualization Part 3 – Data Modeling
Chapter 9: Data Modeling – Preprocessing Chapter 10: Data Modeling – Modeling Basics Chapter 11: Data Modeling – Regression Modeling Part 4 – Additional Use Cases for pandas
Chapter 12: Using Time in pandas Chapter 13: Exploring Time Series Chapter 14: Applying pandas Data Processing for Case Studies Chapter 15: Appendix Other Books You May Enjoy

Introduction to data structures

Data structures are fundamental to computer programming languages. In Python, the core data structures are lists, sets, tuples, and dictionaries. When working in a programming environment, data structures are an abstraction that helps keep track of data, manipulate it, or change it. They also help pass large collections of data as single objects, such as sending an entire Python dictionary to a function. However, organized collections of data can be much more complex, often comprising numerous rows and columns. In this chapter, you will learn about the data structures in pandas that help you deal with such collections of data more effectively. You will dive deeper into the inner workings of these structures and discover how you can use them to accomplish your goals efficiently in Python.

In Chapter 1, Introduction to pandas, you were introduced to the ideas that led to the creation of pandas and basic concepts, such as DataFrames and Series. There...

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 $15.99/month. Cancel anytime}