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  • Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner

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Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner

4.6 out of 5 stars (131)

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Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.

Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you'll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; and advanced algorithms like ones used in machine learning and artificial intelligence. You'll even explore how ancient Egyptians and Russian peasants used algorithms to multiply numbers, how the ancient Greeks used them to find greatest common divisors, and how Japanese scholars in the age of samurai designed algorithms capable of generating magic squares.

You'll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. You'll learn about an algorithm for generating continued fractions, one for quick calculations of square roots, and another for generating seemingly random sets of numbers.

You'll also learn how to:
  • Use algorithms to debug code, maximize revenue, schedule tasks, and create decision trees
  • Measure the efficiency and speed of algorithms
  • Generate Voronoi diagrams for use in various geometric applications
  • Use algorithms to build a simple chatbot, win at board games, or solve sudoku puzzles
  • Write code for gradient ascent and descent algorithms that can find the maxima and minima of functions
  • Use simulated annealing to perform global optimization
  • Build a decision tree to predict happiness based on a person's characteristics

Once you've finished this book you'll understand how to code and implement important algorithms as well as how to measure and optimize their performance, all while learning the nitty-gritty details of today's most powerful algorithms.

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From the Publisher

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'Highest Praise'

"The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming."

—Ira Laefsky, Vine Voice Amazon Reviewer

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'Excited About Programming'

"Mr. Tuckfield explains concepts in such a way that any student can learn something . . . This book has made me excited about programming again."

—Susan, Amazon Reviewer

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'Clear and Concise'

"A clear and concise introduction to algorithmic thinking. This is especially important in today's world where resolving processes using computers is far more important than ever before . . . Top marks for content and style."

—Brian G. Mc Enery, Amazon Reviewer

Author Bradford Tuckfield smiling agains a background of reddish rock and green shrubs.

About the Author

Bradford Tuckfield, PhD, is the founder of Kmbara, which solves problems using machine learning, AI, chatbots, and other data-based innovations. The author of Applied Unsupervised Learning with R, his work has also been featured in top scholarly journals, and his essays on culture and public policy can be seen in Quillette, National Affairs, and other prestigious outlets.

Who Should Read This Book

This book provides a friendly introduction to algorithms, with accompanying Python code. To get the greatest possible benefit from it, you should have some experience with the following:

  • Programming/coding. Every major example in the book is illustrated with Python code. We strive to provide walkthroughs and explanations of every code snippet to make the book digestible for someone with no Python experience and not much programming experience. Nevertheless, someone who has at least some basic understanding of the fundamentals of programming—such as variable assignment, for loops, if/then statements, and function calls—will be the most prepared to benefit.
  • High school math. Algorithms are often used to accomplish many of the same goals as math, like solving equations, optimizing, and calculating values. Algorithms also apply many of the same principles that are associated with mathematical thinking, like logic and the need for precise definitions. Some of our discussions veer into mathematical territory, including algebra, the Pythagorean theorem, pi, and the teensiest bit of very basic calculus. We strive to avoid abstruseness and we don’t venture beyond the math taught in American high schools.

Anyone who feels comfortable with these prerequisites should be able to master all the content in this book. It was written with the following groups in mind:

  • Students. This book is suitable for an introductory class on algorithms, computer science, or programming at the high school or undergraduate level.
  • Professionals. Several types of professionals could gain valuable skills from this book, including developers or engineers who want to gain familiarity with Python, and developers who want to learn more about the foundations of computer science and how to improve code by thinking algorithmically.
  • Interested amateurs. The true target audience of this book is interested amateurs. Algorithms touch nearly every part of life, so everyone should be able to find at least something in this book that enhances their appreciation of the world around them.

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About the Publisher

No Starch Press has published the finest in geek entertainment since 1994, creating both timely and timeless titles like Python Crash Course, Python for Kids, How Linux Works, and Hacking: The Art of Exploitation. An independent, San Francisco-based publishing company, No Starch Press focuses on a curated list of well-crafted books that make a difference. They publish on many topics, including computer programming, cybersecurity, operating systems, and LEGO. The titles have personality, the authors are passionate experts, and all the content goes through extensive editorial and technical reviews. Long known for its fun, fearless approach to technology, No Starch Press has earned wide support from STEM enthusiasts worldwide.

Editorial Reviews

Review

“This book is based entirely on learning math, but it does a really good job of changing how it’s learned. Instead of trying to give you a dry math lecture, this book will tell a story with each of its chapters. This story based education ties real world problems and solutions with the algorithms that this book is trying to teach.”
—Ian Mizer, Cloud Support Engineer

“An excellent self-discovery approach to learning algorithms.”
—Ira Laefsky, Vine Voice

“A clear and concise introduction to algorithmic thinking. This is especially important in today's world where resolving processes using computers is far more important than ever before. Python is not the main focus of the book, more like the algorithmic language using which a variety of topics are explored. Top marks for content and style.”
—Brian G. McEnery, Amazon Reviewer

“[This] book has been great about teaching you what you need to know to do each section! I'd recommend giving it a shot!”
—@ViolanteCode

About the Author

Bradford Tuckfield, PhD, is the founder of Kmbara, which solves problems using machine learning, AI, chatbots, and other data-based innovations. The author of Applied Unsupervised Learning with R, his work has also been featured in top scholarly journals, and his essays on culture and public policy can be seen in Quillette, National Affairs, and other prestigious outlets.

Product details

  • Publisher ‏ : ‎ No Starch Press
  • Publication date ‏ : ‎ January 25, 2021
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 248 pages
  • ISBN-10 ‏ : ‎ 1718500688
  • ISBN-13 ‏ : ‎ 978-1718500686
  • Item Weight ‏ : ‎ 1.06 pounds
  • Dimensions ‏ : ‎ 7.09 x 0.59 x 9.21 inches
  • Best Sellers Rank: #601,405 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.6 out of 5 stars (131)

About the author

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Bradford Tuckfield
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Bradford Tuckfield writes adventure stories and epic fantasy. He has also written non-fiction books about computer science and programming.