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Effective Pandas

Patterns for Data Manipulation
Matt Harrison
Type: Print Book
Genre: Computer Programming
Language: English
Price: ₹3,225 + shipping
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Description

Best practices for manipulating data with Pandas. This book will arm you with years of knowledge and experience that are condensed into an easy to follow format. Rather than taking months reading blogs and websites and searching mailing lists and groups, this book will teach you how to write good Pandas code.

It covers:

Series manipulation
Creating columns
Summary statistics
Grouping, pivoting, and cross-tabulation
Time series data
Visualization
Chaining
Debugging code
and more...

About the Author

Matt Harrison runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and storage.

He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences. The structure and content of his books are based on first-hand experience teaching Python to many individuals.

He blogs at hairysun.com and occasionally tweets useful Python related information at @__mharrison__.

Book Details

ISBN: 9781792310386
Publisher: MetaSnake
Number of Pages: 497
Dimensions: 7"x9"
Interior Pages: Full Color
Binding: Paperback (Perfect Binding)
Availability: In Stock (Print on Demand)

Ratings & Reviews

Effective Pandas

Effective Pandas

(5.00 out of 5)

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1 Customer Review

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pradeep6kumar 9 months, 2 weeks ago Verified Buyer

Great Book on Pandas

I am almost done with this book,however I have a pdf (which I bought during BlackFriday Sale, but I liked the PDF so much, so I ordered hard copy).
Now back to book, Here are according to me what this book gives us:
1) This book is lighter to read(even for non native English speakers).
2) Intricate topics are elaborated using picture and diagrams, The book received at my end was color in nature
3) Talks about code smells(good practices in pandas) in almost most of the chapters
4) No beating around the bush, just talk about concepts and move ahead. Very small chapters helped me a lot as I have a small focus span.
I am almost done with this book and found really useful. Definitely a great buy, although I know for sure, as time passes by pandas will enrich along with this book. So this book might get dated if you are reading this in 2024. But as of 2022, it is updated to latest concepts. IMHO,this book is for mostly beginner/intermediate, but it may work for adv. pandas user.

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