Download PDF Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!
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Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!
Download PDF Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!
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Review
"Saha does an excellent job providing a clear link between Python and upper-level math concepts, and demonstrates how Python can be transformed into a mathematical stage. This book deserves a spot on every geometry teacher’s bookshelf."—School Library Journal
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About the Author
Amit Saha is a software engineer who has worked for Red Hat and Sun Microsystems. He created and maintains Fedora Scientific, a Linux distribution for scientific and educational users. He is also the author of Write Your First Program (Prentice Hall Learning).
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Product details
Paperback: 264 pages
Publisher: No Starch Press; 1 edition (August 1, 2015)
Language: English
ISBN-10: 1593276400
ISBN-13: 978-1593276409
Product Dimensions:
7 x 0.6 x 9.2 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
27 customer reviews
Amazon Best Sellers Rank:
#59,241 in Books (See Top 100 in Books)
I don't always give 5 stars, but when I do, it's for real. Stay coding my friends! Actually, I'm only about half way through the book, but I felt I had to do the review now. After dumping MicroShaft and getting into Linux, I could no longer use VisualBASIC; I had to choose another language and it came down to "C" or Python. I chose Python because I wanted to do some real work without trudging through a 3 year learning curve. Python is, as they say, easy to pick up, especially if you have prior coding experience.You should know the basic Python syntax and structure, basic commands etc., before starting this book; it isn't a "beginners 1st Python" book. But one or two of the "24 hour" or "1 day" starter books will be sufficient. Also, this book is intended for people who want to get into serious math and graphics. If you are into science, engineering, etc., this is for you.VERY well written and laid out; also, it isn't a big scary 600 page monster that might be intimidating to pick up and start - it's only 200 pages and there is no wasted space. A lot is said in minimal volume (I always like that). You will continue to learn Python as you proceed; also you will learn about math, graphics, and some physics as well. Most important - you will see how you can use Python to solve real world math problems and apply this to whatever you are doing.It starts out simple with basic math functions, then rapidly progresses to graphing equations, then statistics; later on complex graphics (fractals - my thing), and calculus. Right now this is brain workout and fun for me, but I hope to use it later for work. The book is very easy to follow as you move along. You should use an interactive python editor (like Idle3) rather than try to run from the command line, although you can do that if you want.One thing you can do is copy all the code snippets [after understanding them
Outstanding book. I am a retired psychologist with an abiding interest in all sciences (not to imply that psychology is really science). Having enjoyed programming my comodor 128 back in the day, I recently decided to teach myself python. What fun, and what a mind blower! The possibilities seem almost limitless. I bought a few introductory books. For me, "Doing Math..." is the most interesting, comprehensive, and useful. I love working with sympy and matplotlib. I hope Amit Saha will write more like it.
Two notes:- This book is a great means to understand math and programming better.- Pretty much every concept in this book can be done by using advanced python libraries. (i.e. there's no reason to code correlation coefficientin python when pandas and numpy can do this for you.)
It's a great, hands on intro to Python and an excellent intro into how to use it for moderately advanced math. Do the examples as you read the book and you'll end up up with a useful skill.
Very easy to follow and learn from. Love the speed and format.
This book will teach you to do math with python in a manner no one who knows python would probably use it. Rather than showing you practical applications of how one would use python for math, the book takes you step by step through how to do basic math using python functions. Rather than just using the mean function, the author has a step by step process of adding up items and then deviding by the number of terms. I am not sure who this would be useful for.
Good book, but need to be more detailed at some topics.
Easy to follow and fun.
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