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  • Python for Everybody: Exploring Data in Python 3

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Python for Everybody: Exploring Data in Python 3

4.6 out of 5 stars (3,287)

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Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.py4e.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.
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Editorial Reviews

About the Author

Charles Severance is a Clinical Associate Professor in the School of Information at the University of Michigan where he teaches Informatics courses; he has also taught Computer Science at Michigan State University. Previously he was the Executive Director of the Sakai Foundation and the Chief Architect of the Sakai Project (www.sakaiproject.org). His home page is http: //www.dr-chuck.com.

Product details

  • Publisher ‏ : ‎ CreateSpace Independent Publishing Platform
  • Publication date ‏ : ‎ April 9, 2016
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 245 pages
  • ISBN-10 ‏ : ‎ 1530051126
  • ISBN-13 ‏ : ‎ 978-1530051120
  • Item Weight ‏ : ‎ 2.31 pounds
  • Dimensions ‏ : ‎ 7 x 0.56 x 10 inches
  • Best Sellers Rank: #47,808 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.6 out of 5 stars (3,287)

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Customer reviews

4.6 out of 5 stars
3,287 global ratings
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Customers say

Customers find this Python book well-structured and easy to understand, making it a great companion for learning the programming language. The writing is clear and well-suited for beginners, and customers consider it worth the price. The clarity of explanations receives mixed feedback, with some finding them thorough while others note they could be more detailed. Additionally, the answers section receives criticism for not providing solutions to exercises.
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157 customers mention content, 146 positive, 11 negative
Customers find the book well-structured and easy to follow, making it a great introduction to Python programming.
Great book. Dr Chuck rocks!! Great introduction to programming in general through python....Read more
An excellent Book! Inexpensive too! Includes web scraping. Better than Ryan Mitchell's web scraping book....Read more
Good book.Read more
You won't go wrong with Dr. Chuck's book. I read his version 2, and excellent. Version 3 uses the same programs....Read more
51 customers mention readability, 44 positive, 7 negative
Customers find the book easy to understand and read, with one customer noting how it builds from simple concepts to more complex ones.
This is an excellent book. It is well thought out and easy to read....Read more
...I introduce to everyone who want to learn Python, it is easy to understandRead more
Great book. Extremely well written and easy to follow.Read more
No programming background (apart from Excel VBA) but the book is easy to follow and explains all programming concepts in very easy manner, looking...Read more
23 customers mention writing quality, 22 positive, 1 negative
Customers find the book well written, particularly noting it is suitable for beginners.
...While the book is well written and easy to understand, the illustrations are incomplete. The annotations are missing....Read more
Great beginner book for getting started with Python. Very well written and easy to follow.Read more
Great text for those interested to learn the practical use of Python...Read more
I am start taking a python class online. This book is well written for a beginner like me.Read more
13 customers mention value for money, 11 positive, 2 negative
Customers find the book well worth the price.
got it quick and as advertised a very good deal for the priceRead more
...This is a good intro to Python. I feel the book is worth the money. Great job Dr. Severance.Read more
Good buy for classRead more
...text to the MOOC classes available from Coursera which are also well worth the time. Prof. Chuck's explanations are clear and easily understood.Read more
8 customers mention compatibility, 8 positive, 0 negative
Customers find the book to be a great companion, with one mentioning it works well on both Kindle and Kindle for PC.
Fantastic companion to Dr. Chuck’s Coursera course. If you’re looking to learn Python, look no further....Read more
Good intro to Python. Great companion and resource for the Coursera Python courses....Read more
...The book and course are an excellent pairing. I recommend this book and the accompanying course for all interested in learning Python....Read more
Loved the fact I could use the book along with free code camp course to grasp the material. Great for beginners.Read more
8 customers mention organization, 6 positive, 2 negative
Customers appreciate the book's organization, with reviews noting its well-structured content, clear layout, and comprehensive index.
...I prefer a book that has clear structure with plenty of examples, such as Dietel or Gaddis (who I used for Java) provides....Read more
...It convinced me to sign up for the online course. It is laid out well. It conveys the personality of the author....Read more
Poorly organized and executed. Save your $10 and go to stackoverflow.Read more
Well structured and useful for learning pythonRead more
18 customers mention clarity of explanations, 12 positive, 6 negative
Customers have mixed opinions about the clarity of the book's explanations, with some finding them clear and well-structured, while others report shallow and abstract content.
...Prof. Chuck's explanations are clear and easily understood.Read more
...The databases lesson was very abstract to me in the examples presented on the book, but doing my own experiments on my own data with the guides from...Read more
The simplest and clearest explanations out of nearly a dozen introductory python texts I have collected....Read more
Covers basic and some advanced stuffRead more
6 customers mention answers, 4 positive, 2 negative
Customers have mixed opinions about the answers in the book, with several noting that answers were not provided for the exercises.
...Easy to read, great flow, meaningful exercises. Highly recommended, especially for the price....Read more
...few examples of concepts in each chapter and the exercises at the end have no answers provided- so if you get stuck you are going to spend a LOT of...Read more
...languages, but you can move quickly through the chapters and push yourself to do more....Read more
...here will make your life so much simpler and your learning immediately so much more productive: you won't get lost in all the technical asides and...Read more
Data, AI, and Python, found it
5 out of 5 stars
Data, AI, and Python, found it
Very satisfying purchase, and will be for all my students. the great part is the online companion website
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Top reviews from the United States

  • 5 out of 5 stars
    The best book to learn Python
    Reviewed in the United States on July 19, 2025
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    The explains every concept in Python well in very concise way. For example, in chapter 14, the class and inheritance is explained very clearly. I bought a few Python books. So far it is the best one.

    I also recommend this author's class "Python for Everybody" on Coursera.

    Well worth the price! Highly recommended this book to every learner in Python.

    5 people found this helpful
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  • 5 out of 5 stars
    Learning Python
    Reviewed in the United States on March 9, 2026
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    Well structured and useful for learning python

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  • 4 out of 5 stars
    Just what it says on the tin
    Reviewed in the United States on June 13, 2023
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    This book is a textbook case (hah!) of truth in advertising. It’s directed at people who are interested in using Python as a tool primarily for data analysis, rather than people who are interested in learning Python for more general programming purposes. Is it effective? Yes and no. The early parts of the book are quite instructive, covering the basics of Python’s built-in types and syntax, and building to greater complexity. At some point, though, the bottom suddenly falls out. The difficulty ramps up tremendously, and the book largely devolves into massive code dumps, or links to massive code dumps, with most of the discussion focused on how to make use of the programs rather than how to develop similar programs for your own purposes. I have a feeling that in a classroom setting, with supplemental materials and a good teacher, this is likely less of an issue.

    All in all, it’s a fine book, and well-targeted. I really appreciated the section on regular expressions, which is a topic most introductory programming texts don’t even mention, and the database interactions are another oft-neglected area that had some good, basic information. I think it would benefit from a bit more dissection of the later programs, but for the price I can’t really complain. 3.5 stars, rounded up to 4.

    21 people found this helpful
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  • 5 out of 5 stars
    you won't get lost in all the technical asides and theoretical maelstroms so many datascience Python texts seem to love to spin
    Reviewed in the United States on October 5, 2016
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    The simplest and clearest explanations out of nearly a dozen introductory python texts I have collected. Artfully crafted instructional progression with by far the most relevant and amusing analogies and example cases. It is interesting to note that this is basically the third formal edition of a constantly improving open-source resource that was initially restructured and reworked by a very gifted teacher to teach data analysis and data mining; if you have tried to work through Think Python you should be able to recognize the refinement resulting from the writer's having used previous editions of this text to teach tens of thousands of students. I keep going back to this book as a reference as well. It really does contain the concisest explanations, and I am recognizing more and more that the code blocks and larger processing methods he describes are paragons of industry approaches. Starting here will make your life so much simpler and your learning immediately so much more productive: you won't get lost in all the technical asides and theoretical maelstroms so many datascience Python texts seem to love to spin into and through. (I have also found the text to be a very helpful foundation for integrating all the open source videos and resources the author put together while teaching his classes through Coursera [and the University of Michigan]).

    - A data analyst from a non-datascience background learning Python for the first time.

    59 people found this helpful
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  • 5 out of 5 stars
    Great resource; easy to follow
    Reviewed in the United States on October 12, 2025
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    Great resource. Easy to follow

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  • 5 out of 5 stars
    Only 9 pages in and I'm already in love with this book
    Reviewed in the United States on January 25, 2025
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    I'm only 9 pages in but I love this book. I have a degree in Industrial Engineering and certification in 8-12 Math Education. I have a passion for the human machine interface and making the complicated simple. I'm blown away by this book. This would be exactly how I would write a book on programming if I knew enough about programming. So thankful for this author and that this book was on our syllabus for my python class.

    One person found this helpful
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  • 5 out of 5 stars
    recommend
    Reviewed in the United States on November 13, 2025
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    Good buy for class

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  • 5 out of 5 stars
    He loves teaching!!!
    Reviewed in the United States on April 5, 2019
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    I first saw his videos on Amazon Prime Video ( same name that's on the book and yes I bought the book), and I was amazed how he interacts with you even tough its a video. It's a great course very well written and very easy to understand. I love that he uses humor to get his point across and really sets you at ease. He can teach some very high end classes but he teaches this beginner course with ease. That ability is rare!

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  • 5 out of 5 stars
    This Python book is used by my university
    Reviewed in Australia on October 15, 2024
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    Good book, very helpful for starting out. You will not become a master programmer, but you will learn some things. The greatest advice is you have to apply your knowledge to a challenge - and have a deadline. That is what helped me in university.

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  • 5 out of 5 stars
    Pratique et passionnant
    Reviewed in France on July 27, 2019
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    Un livre qui, comme son nom l'indique, s'adresse aux personnes qui désirent travailler sur des données en se servant de Python. Les programmes présentés sont précis, bien expliqués, et peuvent facilement être adaptés aux besoins de chacun.

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  • 5 out of 5 stars
    Excellent reference for beginners
    Reviewed in Brazil on July 5, 2025
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    Excellent, very complete and straightforward

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  • 5 out of 5 stars
    Semplice da comprendere
    Reviewed in Italy on August 17, 2020
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    Mi mancava il Python come linguaggio di programmazione.

    Il libro spiega in maniera molto semplice le regole della programmazione in python. E' chiaro che se si dispone di un background di algoritmi e strutture dati o di gestione database, sarà più semplice applicare queste nuove nozioni a ciò che già si conosce. E comunque anche in mancanza di queste nozioni, il libro spiega in modo molto efficace come fare delle semplici query in sql, ricavare dati da internet in formato xml o json per rappresentarli in altro modo.

    Ho trovato molto semplice il modo di spiegare le espressioni regolari, argomento sempre un po' ostico negli altri linguaggi.

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  • 4 out of 5 stars
    Nice
    Reviewed in Turkey on December 24, 2020
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    Good price but shipping takes long time like 1. 5 months because of where I live.

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