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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
Concepts
Authors (4):
Blaine Bateman Blaine Bateman
Profile icon Blaine Bateman
LinkedIn
Blaine Bateman has more than 35 years of experience working with various industries from government R&D to startups to $1B public companies. His experience focuses on analytics including machine learning and forecasting. His hands-on abilities include Python and R coding, Keras/Tensorflow, and AWS & Azure machine learning services. As a machine learning consultant, he has developed and deployed actual ML models in industry.
See other products by Blaine Bateman
Saikat Basak Saikat Basak
Profile icon Saikat Basak
LinkedIn
Saikat Basak is a data scientist and a passionate programmer. Having worked with multiple industry leaders, he has a good understanding of problem areas that can potentially be solved using data. Apart from being a data guy, he is also a science geek and loves to explore new ideas in the frontiers of science and technology.
See other products by Saikat Basak
Thomas V. Joseph Thomas V. Joseph
Profile icon Thomas V. Joseph
LinkedIn
Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has extensive experience in solving business problems using machine learning toolsets across multiple industry segments.
See other products by Thomas V. Joseph
William So William So
Profile icon William So
LinkedIn
William So is a Data Scientist with both a strong academic background and extensive professional experience. He is currently the Head of Data Science at Douugh and also a Lecturer for Master of Data Science and Innovation at the University of Technology Sydney. During his career, he successfully covered the end-end spectrum of data analytics from ML to Business Intelligence helping stakeholders derive valuable insights and achieve amazing results that benefits the business. William is a co-author of the "The Applied Artificial Intelligence Workshop" published by Packt.
See other products by William So
View More author details

Table of Contents (21) Chapters

Preface 1. Part 1 – Introduction to pandas
2. Chapter 1: Introduction to pandas 3. Chapter 2: Working with Data Structures 4. Chapter 3: Data I/O 5. Chapter 4: Pandas Data Types 6. Part 2 – Working with Data
7. Chapter 5: Data Selection – DataFrames 8. Chapter 6: Data Selection – Series 9. Chapter 7: Data Exploration and Transformation 10. Chapter 8: Understanding Data Visualization 11. Part 3 – Data Modeling
12. Chapter 9: Data Modeling – Preprocessing 13. Chapter 10: Data Modeling – Modeling Basics 14. Chapter 11: Data Modeling – Regression Modeling 15. Part 4 – Additional Use Cases for pandas
16. Chapter 12: Using Time in pandas 17. Chapter 13: Exploring Time Series 18. Chapter 14: Applying pandas Data Processing for Case Studies 19. Chapter 15: Appendix 20. Other Books You May Enjoy

Chapter 4: Pandas Data Types

In this chapter, you will learn about the different pandas data types and how to convert them from one type into another. By the end of this chapter, you will know how to inspect the pandas data types of DataFrames, and how to manipulate them for your analysis.

In this chapter, we will cover the following topics:

  • Introducing pandas dtypes
  • Missing data types
  • Subsetting by data types
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Authors (4)

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Profile icon Blaine Bateman
LinkedIn
Blaine Bateman has more than 35 years of experience working with various industries from government R&D to startups to $1B public companies. His experience focuses on analytics including machine learning and forecasting. His hands-on abilities include Python and R coding, Keras/Tensorflow, and AWS & Azure machine learning services. As a machine learning consultant, he has developed and deployed actual ML models in industry.
See other products by Blaine Bateman
Profile icon Saikat Basak
LinkedIn
Saikat Basak is a data scientist and a passionate programmer. Having worked with multiple industry leaders, he has a good understanding of problem areas that can potentially be solved using data. Apart from being a data guy, he is also a science geek and loves to explore new ideas in the frontiers of science and technology.
See other products by Saikat Basak
Profile icon Thomas V. Joseph
LinkedIn
Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has extensive experience in solving business problems using machine learning toolsets across multiple industry segments.
See other products by Thomas V. Joseph
Profile icon William So
LinkedIn
William So is a Data Scientist with both a strong academic background and extensive professional experience. He is currently the Head of Data Science at Douugh and also a Lecturer for Master of Data Science and Innovation at the University of Technology Sydney. During his career, he successfully covered the end-end spectrum of data analytics from ML to Business Intelligence helping stakeholders derive valuable insights and achieve amazing results that benefits the business. William is a co-author of the "The Applied Artificial Intelligence Workshop" published by Packt.
Read more
See other products by William So
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