Pandas Cookbook, 3rd Edition: Recipes for pandas 2.x
Edition: Pandas Cookbook is a practical guide to using pandas with Python, with recipes spanning data exploration, cleaning, visualization, time series, and performance. The listing says it targets pandas 2.x and beyond, so it is aimed at readers who want worked solutions across both core and more advanced workflows.
At a glance
- Targets pandas 2.x and later, according to the listing.
- Covers DataFrame import and export, data types, filtering, grouping, aggregation, and reshaping.
- Includes visualization, time series analysis, and memory and performance topics.
- Describes integration with NumPy, PyArrow, and databases.
Reference price: $49.99
Price checked: Nov 14, 2026
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Pros and cons
Pros
- Recipe format offers targeted guidance for specific pandas tasks rather than only a linear introduction.
- Coverage includes both foundational operations and topics such as time series, visualization, and scaling.
Technical specifications
9 specifications| Publisher | Packt Publishing |
|---|---|
| Edition | 3rd ed. |
| Publication date | October 31, 2024 |
| Language | English |
| Print length | 404 pages |
| ISBN-10 | 1836205872 |
| ISBN-13 | 978-1836205876 |
| Weight listed | 1.52 pounds |
|---|---|
| Dimensions | 7.5 x 0.91 x 9.25 inches |
What to know before buying
- The listing advertises a PDF copy, AI assistant, and next-generation reader as free book extras. Confirm the availability and terms of those digital extras for the edition and format you select.
Who is it for?
A good fit for
- Python developers and data analysts seeking practical pandas solutions for structured data.
- Data scientists or engineers who want reference coverage of time series, visualization, data transformation, and performance.
Less suited to
- Readers looking for a general introduction to Python rather than pandas-based data analysis.
- Buyers who need a book focused exclusively on forecasting or a single specialized data-analysis workflow.
Customer reviews on Amazon
- 5 stars
88% 88% - 4 stars
12% 12% - 3 stars
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The available evidence contains aggregate ratings but no customer-comment summary. Ratings skew favorably, which is a limited positive signal, but they do not identify what readers liked or reveal whether the book suits a particular skill level or workflow. Use the stated topic coverage and edition details to judge fit.
Frequently asked questions
Which pandas version does this book cover?
The listing says the book targets pandas 2.x and beyond. It does not specify a particular minor release.
What subjects are covered?
Listed topics include pandas fundamentals, data types, importing and exporting data, exploration, grouping, reshaping, visualization, time series, performance, and the pandas ecosystem.
Is this suitable for someone learning Python from scratch?
The stated audience is Python developers, data scientists, engineers, and analysts. The book focuses on pandas, so it is not presented as a general beginner Python course.
Are digital extras included?
The listing advertises a PDF copy, an AI assistant, and a next-generation reader. Their availability and access terms are not detailed here, so confirm them for the selected edition and format.
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