Download Python for Everybody: Exploring Data in Python 3, by Dr. Charles Russell Severance
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Python for Everybody: Exploring Data in Python 3, by Dr. Charles Russell Severance
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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.
- Sales Rank: #31986 in Books
- Published on: 2016-04-09
- Original language: English
- Dimensions: 10.00" h x .55" w x 7.00" l, .94 pounds
- Binding: Paperback
- 242 pages
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.
Most helpful customer reviews
14 of 15 people found the following review helpful.
you won't get lost in all the technical asides and theoretical maelstroms so many datascience Python texts seem to love to spin
By Tonto
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.
7 of 7 people found the following review helpful.
Excellent! The book is definitively for beginners who have ...
By David Pang
Excellent! The book is definitively for beginners who have no idea or know nothing about Python before. The author mixes basic concepts, without going deeply enough in some subjects. In addition, author provides teaching materials online pythonlearn.com. You can design your own learning path while having fun to navigate through the online course.
I have learnt many programming languages and read many books how to program. This is my favorite one because it is the easiest to read. The coding examples are easy to understand for the beginner. I am highly recommending this book for all non-programmers who want to learn the programming concept and to understand how program code works.
3 of 3 people found the following review helpful.
Good Overview - For Someone Seriously Interested in Becoming a Python Programmer
By Loyd Eskildson
This book is not intended for professional programmers, and that's a very good thing for the rest of us. His primary motivation is to help readers understand how large amounts of data and information can be readily analyzed using Python. Another good point - he tells us that Python vocabulary is a rather small set of 'reserved words' with special meaning to Python. Unlike English, there is no ambiguity about what these words mean in Python.
Severance then describes how to start a conversation with Python - after first installing the Python software on your computer. Much/most of that information is offline, accessible through a link he provides. Continuing, >>> is Python's way of asking 'What do you want me to do next?' and the need for parentheses surround the description of what you want your computer to do. Python, like other programming languages, is very picky about syntax.
Then on to labeling/describing data to be used. Etc.
Overall, this book is a good overview for someone seriously interested in becoming a python programmer, not so good for someone just wanting to get a sense of what Python can do and how it would go about accomplishing such.
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