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Pandas for Everyone: Python Data Analysis: Python Data Analysis (Addison-Wesley Data & Analytics Series) 1st Edition
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From the Publisher
|A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code||The Next Step for New Python Programmers||Quickly Get Productive with Python||Become a Python Programmer and Have Fun Doing It||The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python|
|User Experience Level||New to programming and/or Python||Perfect for everyone who’s already started working with Python, including junior developers and seasoned Python programmers upgrading to Python 3.6+||Although this book is for people who may be new to programming altogether, it also caters to people who want to know how Python works and how it’s fundamentally different 'under the hood.'||For absolute beginners who’ve never written a line of code.||Any level of Python experience (none to fluent) New to data analysis.|
|Learning Approach||You’ll learn Python by working through brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run.||Hands-on - you’ll go far beyond the basics and learn how to analyze a concept, idea, or problem and then how to deisgn solutions by working through 52 crafted projects. Also includes access to 12 hours of video files.||Takes you by the hand and teaching by examples that are explained line by line. There is heavy emphasis on examples that are fun and useful, including games, graphics, database applications, file storage, puzzles, and more. You will learn how to think 'Pythonically' and avoid common 'gotchas'.||Friendly, easy, full-color. Each chapter will tell you a bit more about programming. It will show you how to do something, and then invite you to make something of your own by using what you’ve learned.||Introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis.|
|Key Topics||Organizing and writing code; Object-orinted programming; Basic game development; Basic web development||Quick hacks; Data structures; Parsing text; SQL and object relational mapping||In addition to Python fundamentals, this book pays a lot of attention to intermediate and even advanced features, including list comprehension, generators, multidimensional lists (matrixes), and decorators.||Programming fundamentals Advanced programming Useful Python||"Tidy" data; Cleaning and munging data; How to fit your data to models ; Fitting models in other languages|
|Python Versions Covered||Python 3||Python 3.6||Python 3.0 with notes about adapting examples to Python 2.0.||Python 2.7 Python 3||Python 3 (Anaconda)|
About the Author
- Item Weight : 2.36 ounces
- Paperback : 412 pages
- ISBN-10 : 0134546938
- ISBN-13 : 978-0134546933
- Dimensions : 6.95 x 1 x 9.1 inches
- Publisher : Addison-Wesley Professional; 1st edition (December 26, 2017)
- Language: : English
- Best Sellers Rank: #320,199 in Books (See Top 100 in Books)
- 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.