Must Read Pandas Books
Pandas is an open-source Python library for data transformation, analysis, and visualization by providing functions for efficient operations. It allows the user to segregate big data into small chunks with the help of statistical measures. Its compatibility with other Python libraries and its imperative data-wrangling properties make it the best choice for data science practitioners.
Key Features from Book
- These books will provide you with the basics of pandas revolving around, but not limited to, grouping, filtering, and reshaping data.
- Know more about data visualization by using matplotlib and Seaborn to generate enhancive representations of data in datasets.
- Get insights from linear to regression models and learn about their preprocessing in wide detail.
- The books mentioned here provide information regarding pandas from beginner to intermediate level proficiency.
Best Pandas Books for Beginners
| # | Books | Author | Published | Rating |
| 1. | Effective Pandas: Patterns for Data Manipulation | Matt Harrison | 2021 | Amazon: 4.7 Goodreads: 4.4 |
| 2. | The Pandas Workshop | Blaine Bateman, Saikat Basak, Thomas V. Joseph, William So | 2022 | Amazon:4.6
Goodreads:nil |
| 3. | Pandas 1.x Cookbook | Matt Harrison, Theodore Petrou | 2020 | Amazon: 4.4
Goodreads:4.2 |
| 4. | Learning Pandas | Michael Heydt | 2015 | Amazon:4.4
Goodreads: 3.7 |
| 5. | Pandas for Everyone | Daniel Y. Chen | 2022 | Amazon:5.0
Goodreads: 4.0 |
| 6. | Learning the Pandas Library | Matt Harrison | 2016 | Amazon: 4.3
Goodreads: 4.1 |
| 7. | Pandas Cookbook | Theodore Petrou |
2017 |
Amazon 4.3
Goodreads- 4.2 |
| 8. | Hands-On Data Analysis with Panda | Stefanie Molin, Ken Jee | 2021 | Amazon 4.4
Goodreads -4.20 |
| 9. | Python for Data Analysis | Wes McKinney McKendrick | 2022 | Amazon 4.5 Goodreads- 4.1 |
| 10. | Python for Data Science For Dummies | John Paul Mueller, Luca Massaron | 2019 | Amazon: 4.4
Goodreads: 3.9 |
Let us discuss the reviews and takeaways of the Pandas books:-
#1. Effective Pandas: Patterns for Data Manipulation
Author– Matt Harrison
Book Review
This Pandas book is one of the most unique on our list and one of my favorites.
Bringing a drastic change in the Python world of technical books, this book embarks on a journey filled with easy-to-follow examples without any specific use-case function. The author’s valuable opinion and strategies shine through filtering, chaining, plotting, etc.
Key Takeaways from that book
- Cover in-depth knowledge of series manipulation, creating columns, and visualization principles.
- Have your way with grouping, pivoting, and cross-tabulation, along with time series data, explained seamlessly.
Get this Book link
#2. The Pandas Workshop
Author- Blaine Bateman, Saikat Basak, Thomas V. Joseph, William So
Book Review
This is an exceptional take on tying the scattered aspects of PaNDAS together to formulate practical analogies through various exemplars. The highlights of the book include time series analysis and creating multi-plot visualizations.
The Pandas book you mentioned caught my attention due to its incremental approach to building understanding.
Key Takeaways from that book
Get to know data selection through DataFrames and series work on data exploration and gather insights.
Model data with the help of preprocessing, modeling basics, and regression modeling, and apply the same in your work
Get this Book link
#3. Pandas 1. x Cookbook
Author– Matt Harrison, Theodore Petrou
Book Review
The Pandas cookbook is here to solve all your misconceptions and provide quick fixes for particular use cases. Select subsets of data, combine pandas objects, filter rows, and more with this helpbook.
I’m glad you find the learning process with this Pandas book both swift and enjoyable! Having a resource that can help us learn efficiently while keeping things interesting is always great.
It’s great to hear that this Pandas book is one of your favorites! A short, to-the-point, and practice-oriented resource can be especially helpful when we’re trying to learn something new.
Key Takeaways from that book
Practice grouping, aggregation, reshaping, and filtering of data through various practice problems.
Familiarize yourself with the most up-and-coming principles of machine learning through real-world datasets.
Get this Book link
#4. Learning Pandas
Author– Michael Heydt
Book Review
A basic beginner’s guide to pandas, which proves to be a no-brainer for you when it comes to knowing the ins and outs of the language itself. Have a thorough understanding of notable content on reshaping data, tidying, and grouping functions concerning data.
That Pandas book sounds like a great choice for anyone who is just starting out or returning to coding after a break or even a professional who needs a quick primer. Having a resource that can cater to different levels of experience and provide a solid foundation for learning is always helpful.
Key Takeaways from that Book
Install and implement pandas across software like Windows, Mac, and Linux for greater accessibility and cross-platform features.
Overview Pandas’s indexed data in the Numpy library and get to offer solutions to several real-world problems.
Get this Book link
#5. Pandas for Everyone
Author– Daniel Y. Chen
Book Review
Explore the broad and exhaustive list of things that pandas comprise in this engaging read. This book makes you efficient in the open-source Pandas library, automating and performing data analysis tasks and generating analyses securely.
The Pandas book you mentioned seems a great resource for those who learn best by doing. It’s always helpful to have a book that caters to different learning styles, and a practice-oriented approach can be especially beneficial for those who prefer a more hands-on approach to learning.
Key Takeaways from that book
Practice transforming data types, converting text strings, and implementing functions to scale data reformation.
Contrast multiple models to fit a solution better, fit models using stats models and sci-kit-learn libraries.
Get this Book link
#6. Learning the Pandas Library
Author– Matt Harrison, Michael Prentiss (Editor)
Book Review
It is bringing solace to fellow data scientists and budding Python enthusiasts with this book’s smooth and hassle-free context. It targets the user with data structures, avalanche analysis, and code examples with exact uses to drive the learning home.
Key Takeaways from that book
Get a thorough understanding of Series CRUD and its indexing and methods and how to join a data frame in a crisp and precise manner.
Update your library with useful methods and statistics related to DataFrames and dealing with missing data.
Get this Book link
#7. Pandas Cookbook
Author– Theodore Petrou
Book Review
A pandas book that streamlines the information in a consistent framework allows you to flip to any page and still know how this page is apt on its own without needing clarification. Reinforcing material taught earlier helps the reader have a solid mastery.
Key Takeaways from that book
Build direct hooks to matplotlib and seaborn on the foundation of pandas 2.0 and explore any dataset in record time.
Restructure and split data into independent groups to further enhance the next steps of data visualization and analysis.
Get this Book link
#8. Hands-On Data Analysis with Panda
Author– Stefanie Molin (Author), Ken Jee (Foreword)
Book Review
An excellent guide demonstrates not only learning pandas but also how to use pandas correctly. It is skillfully mixed with some chapters explaining Python and some relying solely on practical analysis to produce an intuitive read.
Key Takeaways from that book
Curate Python scripts, modules, and data visualizations with pandas to solve common data representation and analysis problems.
Practice customization techniques and financial analysis and further your learnings in rule-based anomaly detection.
Get this Book link
#9. Python for Data Analysis
Author– Wes McKinney
Book Review
A commendable book for brushing up on your skills as a data analyst by manipulating and processing data on the latest versions of pandas,numpy, and jupyter. The subject matter in data wrangling is littered with splendid examples that make for a worthwhile read.
Key Takeaways from that book
Have the know-how behind Jupyter Notebook, Ipython shell, and advanced features in NumPy.
Use pandas groupby facility and matplotlib, and start producing solutions to real-world data problems.
Get this Book link
#10. Python for Data Science For Dummies
Author– John Paul Mueller, Luca Massaron
Book Review
This is an excellent source of content for pandas enthusiasts who have a prerequisite knowledge of Python and are willing to connect the dots of knowledge to leap into the intermediate level of learning. The book is a good reference material filled with examples and code blocks to help one practice.
Key Takeaways from that book
Learn more about pandas through their applications for scientific statistical analysis, plots, graphs, and much more.
Analyze your work with the powerful tools of matplotlib by conditioning and shaping data through scatter plots.
Get this Book link
Recommended Books
We hope that this EDUCBA information on “Pandas Books” benefited you. You can view EDUCBA’s recommended articles for more information.
