Classic Computer Science Problems in Python

Classic Computer Science Problems in Python PDF

Author: David Kopec

Publisher: Simon and Schuster

Published: 2019-03-05

Total Pages: 331

ISBN-13: 1638355231

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"Whether you're a novice or a seasoned professional, there's an Aha! moment in this book for everyone." - James Watson, Adaptive ”Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.” —Daniel Kenney-Jung, MD, University of Minnesota Key Features • Master formal techniques taught in college computer science classes • Connect computer science theory to real-world applications, data, and performance • Prepare for programmer interviews • Recognize the core ideas behind most “new” challenges • Covers Python 3.7 Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the “new” problems you’ll face when you start your next project. In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time. What You Will Learn • Search algorithms • Common techniques for graphs • Neural networks • Genetic algorithms • Adversarial search • Uses type hints throughout This Book Is Written For For intermediate Python programmers. About The Author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020) Table of Contents 1. Small problems 2. Search problems 3. Constraint-satisfaction problems 4. Graph problems 5. Genetic algorithms 6. K-means clustering 7. Fairly simple neural networks 8. Adversarial search 9. Miscellaneous problems

Cambridge IGCSE® and O Level Computer Science Programming Book for Python

Cambridge IGCSE® and O Level Computer Science Programming Book for Python PDF

Author: Chris Roffey

Publisher: Cambridge University Press

Published: 2017-02-02

Total Pages: 209

ISBN-13: 1316617823

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This resource is written to follow the updated Cambridge IGCSE® Computer Science syllabus 0478 with examination from June and November 2016. Cambridge IGCSE® and O Level Computer Science Programming Book for Python accompanies the Cambridge IGCSE and O Level Computer Science coursebook, and is suitable for students and teachers wishing to use Python in their studies. It introduces and develops practical skills to guide students in developing coding solutions to the tasks presented in the book. Starting from simple skills and progressing to more complex challenges, this book shows how to approach a coding problem using Structure Diagrams and Flow Charts, explains programming logic using pseudocode, develops Python programming skills and gives full solutions to the tasks set.

Computer Engineering for Babies

Computer Engineering for Babies PDF

Author: Chase Roberts

Publisher:

Published: 2021-10-20

Total Pages: 0

ISBN-13: 9781735208701

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An introduction to computer engineering for babies. Learn basic logic gates with hands on examples of buttons and an output LED.

Computer Science Distilled

Computer Science Distilled PDF

Author: Wladston Ferreira Filho

Publisher: Code Energy

Published: 2017-01-17

Total Pages: 188

ISBN-13: 0997316012

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A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work.

Computer Science Programming Basics in Ruby

Computer Science Programming Basics in Ruby PDF

Author: Ophir Frieder

Publisher: "O'Reilly Media, Inc."

Published: 2013-04-18

Total Pages: 176

ISBN-13: 1449356850

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If you know basic high-school math, you can quickly learn and apply the core concepts of computer science with this concise, hands-on book. Led by a team of experts, you’ll quickly understand the difference between computer science and computer programming, and you’ll learn how algorithms help you solve computing problems. Each chapter builds on material introduced earlier in the book, so you can master one core building block before moving on to the next. You’ll explore fundamental topics such as loops, arrays, objects, and classes, using the easy-to-learn Ruby programming language. Then you’ll put everything together in the last chapter by programming a simple game of tic-tac-toe. Learn how to write algorithms to solve real-world problems Understand the basics of computer architecture Examine the basic tools of a programming language Explore sequential, conditional, and loop programming structures Understand how the array data structure organizes storage Use searching techniques and comparison-based sorting algorithms Learn about objects, including how to build your own Discover how objects can be created from other objects Manipulate files and use their data in your software

Python Programming

Python Programming PDF

Author: John M. Zelle

Publisher: Franklin, Beedle & Associates, Inc.

Published: 2004

Total Pages: 533

ISBN-13: 1887902996

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This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.

A Programmer's Guide to Computer Science Vol. 2

A Programmer's Guide to Computer Science Vol. 2 PDF

Author: William M. Springer

Publisher: Jaxson Media

Published: 2020-08-11

Total Pages: 136

ISBN-13: 9781951204044

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You know how to code... ...but is it enough?Do you feel left out when other programmers talk about asymptotic bounds?Have you failed a job interview because you don't know computer science?Volume two picks up where volume one left off, covering proofs, security, hardware and software, and various advanced topics.You've learned the basics. Are you ready for what comes next?

Computer Science

Computer Science PDF

Author: National Research Council

Publisher: National Academies Press

Published: 2004-10-06

Total Pages: 216

ISBN-13: 0309165636

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Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer science's intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation.

Writing for Computer Science

Writing for Computer Science PDF

Author: Justin Zobel

Publisher: Taylor & Francis

Published: 2004-06-03

Total Pages: 292

ISBN-13: 9781852338022

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A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research

Ultralearning

Ultralearning PDF

Author: Scott Young

Publisher: HarperCollins

Published: 2019-08-06

Total Pages: 304

ISBN-13: 0062852744

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Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success.