Daniel Zingaro's Books

Algorithmic Thinking

A Problem-Based Introduction

By: Daniel Zingaro

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Algorithmic Thinking

A Problem-Based Introduction

By: Daniel Zingaro

A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies The heap data structure to determine the amount of money given away in a promotion The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check?

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409

Publisher

No Starch Press

Published Date

ISBN 10

1718500815

ISBN 13

9781718500815

Learn to Code by Solving Problems

A Python Programming Primer

By: Daniel Zingaro

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Learn to Code by Solving Problems

A Python Programming Primer

By: Daniel Zingaro

Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.

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392

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No Starch Press

Published Date

ISBN 10

1718501331

ISBN 13

9781718501331

Algorithmic Thinking, 2nd Edition

Unlock Your Programming Potential

By: Daniel Zingaro

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Algorithmic Thinking, 2nd Edition

Unlock Your Programming Potential

By: Daniel Zingaro

Get in the game and learn essential computer algorithms by solving competitive programming problems, in the fully revised second edition of the bestselling original. (Still no math required!) Are you hitting a wall with data structures and algorithms? Whether you’re a student prepping for coding interviews or an independent learner, this book is your essential guide to efficient problem-solving in programming. UNLOCK THE POWER OF DATA STRUCTURES & ALGORITHMS: Learn the intricacies of hash tables, recursion, dynamic programming, trees, graphs, and heaps. Become proficient in choosing and implementing the best solutions for any coding challenge. REAL-WORLD, COMPETITION-PROVEN CODE EXAMPLES: The programs and challenges in this book aren’t just theoretical—they’re drawn from real programming competitions. Train with problems that have tested and honed the skills of coders around the world. GET INTERVIEW-READY: Prepare yourself for coding interviews with practice exercises that help you think algorithmically, weigh different solutions, and implement the best choices efficiently. WRITTEN IN C, USEFUL ACROSS LANGUAGES: The code examples are written in C and designed for clarity and accessibility to those familiar with languages like C++, Java, or Python. If you need help with the C code, no problem: We’ve got recommended reading, too. Algorithmic Thinking is the complete package, providing the solid foundation you need to elevate your coding skills to the next level.

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481

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No Starch Press

Published Date

ISBN 10

1718503229

ISBN 13

9781718503229

Algorithmic Thinking, 2nd Edition

Unlock Your Programming Potential

By: Daniel Zingaro

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Algorithmic Thinking, 2nd Edition

Unlock Your Programming Potential

By: Daniel Zingaro

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481

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No Starch Press

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ISBN 10

1718503229

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9781718503229

Algorithmic Thinking

A Problem-Based Introduction

By: Daniel Zingaro

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Algorithmic Thinking

A Problem-Based Introduction

By: Daniel Zingaro

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409

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No Starch Press

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ISBN 10

1718500815

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9781718500815

Learn AI-assisted Python Programming

With GitHub Copilot and ChatGPT

By: Leo Porter,Daniel Zingaro

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Learn AI-assisted Python Programming

With GitHub Copilot and ChatGPT

By: Leo Porter,Daniel Zingaro

Writing computer programs in Python just got a lot easier! Use AI-assisted tools like GitHub Copilot to go from idea to application faster than you can say "ChatGPT." In Learn AI-Assisted Python Programming: With Copilot and ChatGPT you'll learn how to: Write fun and useful Python applications--no programming experience required! Use the Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job Learn AI-Assisted Python Programming: With Copilot and ChatGPT is a beginner's guide that embraces AI as the future of coding. AI-assisted coding tools like GitHub Copilot and ChatGPT empower you to create useful Python applications without learning all the low-level details of a programming language. You'll hit the ground running as you write prompts that tell your AI-assistant exactly what you want your programs to do. Along the way, you'll pick up the essentials of Python programming and practice the higher-level thinking you'll need to create working apps for data science, automation, and even video games. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology AI has changed the way we write computer programs. With tools like Copilot and ChatGPT, you can describe what you want in plain English, and watch your AI assistant generate the code right before your eyes. It's perfect for beginners, or anyone who's struggled with the steep learning curve of traditional programming. About the book Learn AI-Assisted Python Programming: With Copilot and ChatGPT teaches you to code the AI way. Instead of starting with slow, low-level details, you'll learn how to bring your ideas to life immediately using AI-generated code. You'll practice the new essentials, like prompt engineering, code reading, and AI-assisted testing and program design. As you go, you'll absorb the basics of Python programming so you can understand and improve your programs. You'll quickly write small-but-useful Python programs for data visualization, automation, and more. Absolutely no programming experience required! About the reader If you can move files around on your computer and open a web browser, you can learn to write Python programs with this book! About the author Dr. Leo Porter is an Associate Teaching Professor of computer science at UC San Diego. He has over a decade of teaching experience and is well-known for his award-winning research on effective pedagogies and assessments in computer science. Dr. Daniel Zingaro is an Associate Teaching Professor of computer science and award-winning teacher at the University of Toronto. His main area of research is computer science education research, where he studies how students learn computer science material.

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294

Publisher

Simon and Schuster

Published Date

ISBN 10

1633437787

ISBN 13

9781633437784

Learn to Code by Solving Problems

A Python Programming Primer

By: Daniel Zingaro

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Learn to Code by Solving Problems

A Python Programming Primer

By: Daniel Zingaro

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392

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No Starch Press

Published Date

ISBN 10

1718501331

ISBN 13

9781718501331

Learn AI-Assisted Python Programming, Second Edition

By: Leo Porter,Daniel Zingaro

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Learn AI-Assisted Python Programming, Second Edition

By: Leo Porter,Daniel Zingaro

See how an AI assistant can bring your ideas to life immediately! Once, to be a programmer you had to write every line of code yourself. Now tools like GitHub Copilot can instantly generate working programs based on your description in plain English. An instant bestseller, Learn AI-Assisted Python Programming has taught thousands of aspiring programmers how to write Python the easy way--with the help of AI. It's perfect for beginners, or anyone who's struggled with the steep learning curve of traditional programming. In Learn AI-Assisted Python Programming, Second Edition you'll learn how to: - Write fun and useful Python applications--no programming experience required! - Use the GitHub Copilot AI coding assistant to create Python programs - Write prompts that tell Copilot exactly what to do - Read Python code and understand what it does - Test your programs to make sure they work the way you want them to - Fix code with prompt engineering or human tweaks - Apply Python creatively to help out on the job AI moves fast, and so the new edition of Learn AI-Assisted Python Programming, Second Edition is fully updated to take advantage of the latest models and AI coding tools. Written by two esteemed computer science university professors, it teaches you everything you need to start programming Python in an AI-first world. You'll learn skills you can use to create working apps for data analysis, automating tedious tasks, and even video games. Plus, in this new edition, you'll find groundbreaking techniques for breaking down big software projects into smaller tasks AI can easily achieve. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology AI has changed the way we write computer programs forever. You describe in plain English what you want your program to do, and AI coding assistants like Github Copilot can generate the code for you instantly! If you can use a web browser and move files around on your computer, you can create useful software. This book shows you how. About the book Learn AI-Assisted Python Programming, Second Edition teaches you how to create your own games, tools, and other simple applications using Copilot and the user-friendly Python language. You'll be amazed how quickly you can go from an idea to a working program! Authors Leo Porter and Dan Zingaro guide you step by step as you go from creating simple functions, like a small program that tells you if a password is strong enough, to writing games and tools that help you automate tedious tasks. As you go, you'll learn just enough Python to understand and improve what Copilot creates. About the reader No experience required! About the author Dr. Leo Porter is a Teaching Professor at UC San Diego. Dr. Daniel Zingaro is an Associate Teaching Professor at the University of Toronto. The technical editor on this book was Peter Morgan.

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334

Publisher

Simon and Schuster

Published Date

ISBN 10

1633435997

ISBN 13

9781633435995

Learn AI-Assisted Python Programming, Second Edition

By: Leo Porter,Daniel Zingaro

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Learn AI-Assisted Python Programming, Second Edition

By: Leo Porter,Daniel Zingaro

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334

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Simon and Schuster

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ISBN 10

1633435997

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9781633435995

João Gilberto and Stan Getz's Getz/Gilberto

By: Bryan Daniel McCann

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João Gilberto and Stan Getz's Getz/Gilberto

By: Bryan Daniel McCann

Most die-hard Brazilian music fans would argue that Getz/Gilberto, the iconic 1964 album featuring "The Girl from Ipanema," is not the best bossa nova record. Yet we've all heard "The Girl from Ipanema" as background music in a thousand anodyne settings, from cocktail parties to telephone hold music. So how did Getz/Gilberto become the Brazilian album known around the world, crossing generational and demographic divides? Bryan McCann traces the history and making of Getz/Gilberto as a musical collaboration between leading figure of bossa nova João Gilberto and Philadelphia-born and New York-raised cool jazz artist Stan Getz. McCann also reveals the contributions of the less-understood participants (Astrud Gilberto's unrehearsed, English-language vocals; Creed Taylor's immaculate production; Olga Albizu's arresting, abstract-expressionist cover art) to show how a perfect balance of talents led to not just a great album, but a global pop sensation. And he explains how Getz/Gilberto emerged from the context of Bossa Nova Rio de Janeiro, the brief period when the subtle harmonies and aching melodies of bossa nova seemed to distill the spirit of a modernizing, sensuous city. 33 1/3 Global, a series related to but independent from 33 1/3, takes the format of the original series of short, music-based books and brings the focus to music throughout the world. With initial volumes focusing on Japanese and Brazilian music, the series will also include volumes on the popular music of Australia/Oceania, Europe, Africa, the Middle East, and more.

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149

Publisher

Bloomsbury Publishing USA

Published Date

ISBN 10

1501323970

ISBN 13

9781501323973

The Age of Secrecy

Jews, Christians, and the Economy of Secrets, 1400–1800

By: Daniel Jütte (Jutte)

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The Age of Secrecy

Jews, Christians, and the Economy of Secrets, 1400–1800

By: Daniel Jütte (Jutte)

The fifteenth through the eighteenth centuries were truly an Age of Secrecy in Europe, when arcane knowledge was widely believed to be positive knowledge which extended into all areas of daily life. So asserts Daniel Jütte in this engrossing, vivid, and award-winning work. He maintains that the widespread acceptance and even reverence for this “economy of secrets” in premodern Europe created a highly complex and sometimes perilous space for mutual contact between Jews and Christians. Surveying the interactions between the two religious groups in a wide array of secret sciences and practices, the author relates true stories of colorful “professors of secrets” and clandestine encounters. In the process Jütte examines how our current notion of secrecy is radically different in this era of WikiLeaks, Snowden, etc., as opposed to centuries earlier when the truest, most important knowledge was generally considered to be secret by definition.

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444

Publisher

Yale University Press

Published Date

ISBN 10

0300213425

ISBN 13

9780300213423

Controversies in Oral and Maxillofacial Surgery, An Issue of Oral and Maxillofacial Clinics of North America

By: Luis G. Vega,Daniel J. Meara

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Controversies in Oral and Maxillofacial Surgery, An Issue of Oral and Maxillofacial Clinics of North America

By: Luis G. Vega,Daniel J. Meara

This issue of Oral and Maxillofacial Surgery Clinics of North America focuses on Controversies in Oral and Maxillofacial Surgery, and is edited by Drs. Luis Vega and Daniel Meara. Articles will include: Controversies in Dentoalveolar and Preprosthetic Surgery; Controversies in Maxillofacial Trauma; Controversies in Traditional Maxillofacial Reconstruction; Controversies in Microvascular Maxillofacial Reconstruction; Controversies in TMJ Surgery; Controversies in Orthognathic Surgery; Controversies in Facial Cosmetics; Controversies in Cleft/Craniofacial Surgery; Controversies in Oral and Maxillofacial Infections; Controversies in Oral and Maxillofacial Pathology; Controversies in Oral and Maxillofacial Oncology; Controversies in Obstructive Sleep Apnea Surgery; Controversies in Oral and Maxillofacial Anesthesia; Controversies in Dental Implant Surgery; and more!

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169

Publisher

Elsevier Health Sciences

Published Date

ISBN 10

0323548962

ISBN 13

9780323548960

Learn AI-assisted Python Programming

With GitHub Copilot and ChatGPT

By: Leo Porter,Daniel Zingaro

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Learn AI-assisted Python Programming

With GitHub Copilot and ChatGPT

By: Leo Porter,Daniel Zingaro

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294

Publisher

Simon and Schuster

Published Date

ISBN 10

1633437787

ISBN 13

9781633437784

Invariants

A Generative Approach to Programming

By: Daniel Zingaro

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Invariants

A Generative Approach to Programming

By: Daniel Zingaro

Algorithms are central to all areas of computer science, from compiler construction to numerical analysis to artificial intelligence. Throughout your academic and professional careers, you may be required to construct new algorithms, analyze existing algorithms, or modify algorithms to suit new purposes. How do we know that such algorithms are correct? One method involves making claims about how we expect our programs to operate, and then constructing code that carries out these tasks. The key component of such reasoning is the invariant, and is the topic of this book. In these pages, you will study how invariants are developed, how they are used to construct correct algorithms, and how they are helpful in analyzing existing programs. Along the way, you'll be introduced to some classic sorting, searching and mathematical algorithms, and even some solutions to games and logic puzzles. These examples, though, are only conduits for the loftier goal: understanding why algorithms work.

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188

Published Date

ISBN 10

1904987834

ISBN 13

9781904987833

Book's by Daniel Zingaro

Algorithmic Thinking

Algorithmic Thinking

Learn to Code by Solving Problems

Learn to Code by Solving Problems

Algorithmic Thinking, 2nd Edition

Algorithmic Thinking, 2nd Edition

Algorithmic Thinking, 2nd Edition

Algorithmic Thinking, 2nd Edition

Algorithmic Thinking

Algorithmic Thinking

Learn AI-assisted Python Programming

Learn AI-assisted Python Programming

Learn to Code by Solving Problems

Learn to Code by Solving Problems

Learn AI-Assisted Python Programming, Second Edition

Learn AI-Assisted Python Programming, Second Edition

Learn AI-Assisted Python Programming, Second Edition

Learn AI-Assisted Python Programming, Second Edition

João Gilberto and Stan Getz's Getz/Gilberto

João Gilberto and Stan Getz's Getz/Gilberto

The Age of Secrecy

The Age of Secrecy

Controversies in Oral and Maxillofacial Surgery, An Issue of Oral and Maxillofacial Clinics of North America

Controversies in Oral and Maxillofacial Surgery, An Issue of Oral and Maxillofacial Clinics of North America

Learn AI-assisted Python Programming

Learn AI-assisted Python Programming

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