What is 'Grokking Algorithms' about?

'Grokking Algorithms' is an illustrated guide aimed at making complex algorithm concepts accessible. It uses visuals and analogies to explain topics like sorting, searching, and dynamic programming in a conversational tone. Readers can expect to grasp essential algorithms through relatable examples, making it suitable for both novice and experienced programmers looking to deepen their understanding of algorithmic thinking.

Who is the target audience for this book?

This book is designed for programmers at all skill levels and anyone curious about how algorithms function. Whether you're a beginner eager to learn the ropes of programming or a seasoned developer wanting to refresh your knowledge, 'Grokking Algorithms' offers insights that can enhance your programming toolkit. With practical illustrations, it caters specifically to visual learners and those who prefer a more engaging learning experience.

Is this book suitable for self-learners?

Absolutely! 'Grokking Algorithms' is an excellent resource for self-learners. Its clear illustrations and straightforward explanations allow readers to progress at their own pace. With chapter summaries and practical exercises, readers can reinforce their understanding and apply algorithms to real-world situations. This makes it an ideal choice for anyone looking to enhance their programming skills independently.

What makes the illustrations in this book so effective?

The illustrations in 'Grokking Algorithms' play a crucial role in simplifying complex concepts. By visually representing algorithms, the book allows readers to see the flow of operations, making abstract ideas more tangible. This approach helps in retention and understanding, making it easier to recall concepts when coding. It’s particularly beneficial for visual learners who thrive on graphical depictions.

Can beginners fully understand the concepts without prior programming knowledge?

Yes, beginners can understand the concepts presented in this book even with limited programming knowledge. The author takes a foundational approach, explaining essential programming concepts before diving into algorithms. This ensures that even those new to coding will not feel overwhelmed. The relatable examples further bridge the gap for absolute beginners, making the content approachable.

What programming languages are covered in the examples?

While 'Grokking Algorithms' focuses primarily on algorithm concepts, it showcases examples in a variety of programming languages, including Python, Java, and JavaScript. This diversity allows readers from different programming backgrounds to grasp the principles without being tied to a specific language. Each example is presented in a way that highlights the core algorithm rather than the intricacies of any single programming language.

How does this book compare to other algorithm books?

'Grokking Algorithms' stands out due to its visual approach and reader-friendly style. Unlike many traditional algorithm books that can be dense and theoretical, this one simplifies the learning process with engaging illustrations and analogies. Its unique presentation makes algorithms less intimidating and more understandable, setting it apart as an ideal introductory text for both novices and experienced coders looking for a refresher.

Are there exercises or problems to work through in the book?

Yes, 'Grokking Algorithms' includes practical exercises to reinforce the concepts presented in each chapter. These exercises challenge readers to apply what they've learned in real-world scenarios, promoting deeper understanding. By working through these problems, readers can not only test their knowledge but also develop a hands-on approach to learning algorithms, enhancing their programming skills effectively.

Can I use this book for academic purposes?

'Grokking Algorithms' can be a beneficial supplemental resource for academic courses focused on algorithms and data structures. Its accessible language and visual aids can help clarify concepts that can sometimes be difficult to grasp in a traditional academic setting. Students may find it particularly useful for exam preparation or as a supportive text alongside more technical resources.

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Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People

Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer.

Numéro d'article: 3472741

Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People

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Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer.

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Ce qui se démarque

Illustrative Learning

Utilizes engaging illustrations to simplify complex concepts, making it accessible for both novice and experienced programmers looking to deepen their understanding of algorithms.

Practical Examples

Incorporates real-world scenarios and practical examples, enabling readers to apply algorithmic thinking effectively in their programming challenges and projects.

User-Friendly Format

Designed in an easy-to-follow format, it caters to self-learners and curious individuals, bridging the gap between academic theory and practical application in programming.

Détails du produit

Easy to follow design with minimal leaps of thought and immediate explanations of new concepts
Core concepts reinforced with exercises and multiple explanations for better understanding
Lead examples provided to visualize concepts and aid in easier recall
Filled with images to cater to visual learners
Carefully curated content with practical algorithms relevant to software engineering
Aimed at individuals with basic coding knowledge seeking to understand algorithms, including hobbyist coders, coding boot camp students, computer science graduates, and other individuals interested in programming

Publisher	Manning
Publication date	May 1, 2016
Edition	First Edition
Language	English
Print length	256 pages
ISBN-10	1617292230
ISBN-13	978-1617292231
Dimensions	7.38 x 0.6 x 9.25 inches (18.7 x 1.5 x 23.5 cm)
Package Weight	1.1000 Pound

À qui est-ce destiné ?

Beginner Programmers
Those new to programming will find the clear illustrations and explanations helpful for understanding algorithms.
Visual Learners
Individuals who learn best through visuals will appreciate the book's engaging illustrations and simple explanations.
Curious Innovators
Anyone interested in deepening their understanding of algorithms in a fun and approachable manner will benefit.

Advanced Developers
Experienced programmers might not find new information or advanced algorithms covered in this beginner-friendly book.

DESCRIPTION DU PRODUIT

About This Item

Introducing "Grokking Algorithms: An illustrated guide for programmers and other curious people" Are you a programmer or someone with a curiosity for algorithms? Look no further, because Grokking Algorithms is the perfect illustrated guide to help you understand and master the world of programming. Written by the expert author, this comprehensive book covers everything you need to know about algorithms. Whether you are a beginner, intermediate, or advanced programmer, Grokking Algorithms is designed to cater to all levels of expertise. Why Grokking Algorithms? Well, this book is not just any ordinary guide. With its engaging and visually appealing illustrations, it makes complex algorithms easy to understand.

The best part is that it covers a wide range of programming languages including Python, Java, and C++. So no matter your language preference, Grokking Algorithms has got you covered. Inside, youâ€™ll find detailed explanations, real-life examples, and step-by-step tutorials. This book covers a variety of algorithmic topics, including data structures, searching algorithms, sorting algorithms, dynamic programming, recursion, and much more.

You will also learn about algorithm complexity and the famous Big O notation, which is essential for optimizing your code. Not only is Grokking Algorithms a valuable resource for self-learning, but it is also an excellent reference guide. It includes programming concepts, algorithm analysis, algorithm design, and algorithm implementation. With this book by your side, you will have a comprehensive understanding of algorithmic thinking and problem-solving. Whether you are preparing for a coding interview, competing in programming contests, or simply expanding your knowledge, Grokking Algorithms is your trusted companion.

It dives deep into the world of computer science and software development, equipping you with the necessary skills to excel in the field. No matter your level of expertise or familiarity with algorithms, Grokking Algorithms is the go-to resource for anyone looking to enhance their programming skills. So don't wait any longer, grab your copy of Grokking Algorithms today and embark on a journey of algorithmic discovery!.

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Machine Theory Editorial Review

Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People provides a friendly and accessible introduction to algorithms and data structures, tailored for individuals who possess basic coding knowledge. The author emphasizes the learning process through concrete examples and visual aids, making complex concepts more relatable. Designed for hobbyist coders, coding boot camp students, and computer science graduates, this guide effectively fills gaps in understanding while keeping readers engaged. Many find its practical approach to algorithm explanation, such as the memorable visual analogy involving folding paper, particularly effective for grasping abstract concepts. Readers appreciate the clarity of illustrations and the straightforward language used throughout, making it a go-to resource for those wanting to brush up on fundamental computer science principles.

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Avantages

Easy to follow with clear examples
Engaging visuals enhance understanding
Great for filling knowledge gaps
Keeps readers' attention throughout
Accessible for hobbyists and students

Les inconvénients

Not suitable for those seeking academic rigor

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Caractéristiques et avantages

Illustrated guide to apply common algorithms to practical problems
Covers various algorithms like sorting, searching, graph algorithms, dynamic programming, etc.
Includes helpful diagrams and fully annotated code samples in Python
Easy-to-read, suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms
Includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications
Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com

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Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People

BIF 179664

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Ce qui se démarque

Détails du produit

À qui est-ce destiné ?

DESCRIPTION DU PRODUIT

About This Item

Questions et réponses des clients

Machine Theory Editorial Review

Avis et évaluations clients

Donnez votre avis sur ce produit

Avantages

Les inconvénients

Historique des prix du produit

Informations importantes

BIF 179664

Caractéristiques et avantages

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