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Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series) 1st Edition, Kindle Edition
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|Length: 406 pages||Enhanced Typesetting: Enabled||Page Flip: Enabled|
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- Part of: Addison-Wesley Data & Analytics Series (20 Books)
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About the Author
- File size : 42728 KB
- Word Wise : Not Enabled
- Publication date : December 15, 2017
- Print length : 406 pages
- Publisher : Addison-Wesley Professional; 1st edition (December 15, 2017)
- Language: : English
- ASIN : B0789WKTKJ
- X-Ray : Not Enabled
- Enhanced typesetting : Enabled
- Text-to-Speech : Enabled
- Simultaneous device usage : Up to 5 simultaneous devices, per publisher limits
- Lending : Not Enabled
- Best Sellers Rank: #293,071 in Kindle Store (See Top 100 in Kindle Store)
- Customer Reviews:
Top reviews from the United States
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Daniel's book is a breath of fresh air. He still manages to educate without getting bogged down in the minutia or the overly verbose theory, math, etc. etc. The chapters cut right to the chase of what you need to know to become expert at pandas (as well as seaborn and other nifty libraries) while also providing Data Science-applicable foundations (tidy data, visualizations, etc.).
Also worth mentioning is the companion information available on his github repo. I made great use of the Jupyter notebooks, adding copious examples from the book. These will be my go-to references going forward.
I can honestly say I've never referred to a technical book as a "page-turner" but this one definitely fits that description. I averaged three chapters a day and will re-read it in about a month. For those in the Data Science field, or wanting to become experts in pandas, I highly, highly, highly recommend this book.
I feel that you could look at the book table of contents, and find the material yourself for each chapter.
- book gives a lot of information (e.g. about the parameters of a function) in a long paragraph instead of a bullet form.
- lot's of space (pages) filled with pointless tables, some longer than they need to be to make the point, all with normal size font.
- lot of things are explained using some pretty big tables with hundreds or more rows. Why ? Author couldn't be bothered to make some smaller CSV files ?
- Feels like the author has struggled to fill the pages in the book. There is a chapter dedicated to STRING FORMATTING and REGEX .. nothing really to do with a Pandas book. Other chapters give examples of things are that fairly obscure - such as all kinds of plots such as violin plots, instead of actually explaining plots in a concise manner - or obscure cases that you would rarely encounter, and if you did, this book would not be a good reference either way.
- Another example of filler material, Chapter 5 is about "missing data", and there's a section that shows you where it could come from, and chapter 5.3.2 ( 2 pages), is really an exact repeat of the tables from the section on merging .. because those examples tables contain missing data. A simple paragraph pointing you to that previous section could have sufficed.
I like this book so much it's becoming a little worn around the edges, as I take it with me while travelling on business (my day job is cybersecurity) and I can see many applications for pandas to summarize, present and search for outliers in a large amount of security data.
Several topics which really confused me for a long time became clear in minutes with this book, which is a testament to a good writer - there are not just examples; there are the right examples that illustrate how to do something and the kind of trap you can fall into when you do it wrong.
I've just bought the kindle version to complement my paper copy, something I rarely do, but this book is worth it!
Top reviews from other countries
This has good examples and explanations. Thank you!
The cheap printed version with glossy cover
Paper quality is so bad that if you underline with gel pen, it will get imprinted on the back page too ....
Amazon must to something to stop such crooked supplier ...
They are eventuay tarnishing the name of Amazon & Pearson too
In short of you want to learn pandas and are willing to spend some time, this book will definitely help.