Data Structures and Algorithms in Python 1st Edition
Original price was: $42.95.$39.85Current price is: $39.85.
Product Details
- Condition: New
- Publisher: Wiley
- Language: English
- Paperback: 768 pages
- ISBN: 978-1118290279
- Item Weight: 2.78 pounds
- Dimensions: 7.7 x 1.3 x 9.5 inches
Master the foundations of pc science with Data Structures and Algorithms in Python. This comprehensive 1st Edition manual bridges the gap between theoretical standards and realistic Python implementation. Designed for sturdiness and intensity, this 768 page Wiley book is the remaining roadmap for writing efficient, high-performance code in a present day programming panorama.
Key Features
- Pythonic Approach: Unlike many textbooks that port C++ logic directly, this book is designed from the ground up to leverage Python’s precise syntax and item-orientated paradigms.
- Algorithmic Rigor: Detailed causes of Big-O notation, recursion, and sorting algorithms make sure you recognize now not simply how code works, however how to optimize it.
- Comprehensive Library: Covers fundamental structures (arrays, stacks, queues) to advanced topics (graphs, attempts, and dynamic programming).
- Visual Learning: Includes hundreds of diagrams and code snippets to demonstrate complicated reminiscence management and facts glide standards.
- Problem-Solving Focus: Each chapter concludes with sporting events ranging from self-test drills to creative initiatives that replicate real-world engineering demanding situations.
Who Should Buy This Book?
- Computer Science Students: An important associate for undergraduate or graduate-level coursework.
- Self-Taught Developers: Perfect for programmers transitioning from “writing scripts” to building scalable systems.
- Technical Interview Candidates: A goldmine for each person making ready for “Whiteboard” style interviews at pinnacle-tier tech corporations.
- Software Engineers: A dependable desk reference for optimizing legacy code or designing new facts-pushed programs.
Use Cases
- Academic Curriculum: Serve as the primary textbook for a “Data Structures” semester course.
- Coding Bootcamp Supplement: Provide the deep theoretical background that speedy-paced bootcamps often pass.
- System Design: Use the graph and tree chapters to tell the architecture of complicated networking or database initiatives.
- Professional Development: Level up your profits capability with the aid of learning the performance-driven facet of software program development.
Format Details
- Type: Paperback
- Pages: 768 pages of high-density technical content.
- Build: A extensive, splendid binding designed to resist frequent page-turning and “lay-flat” study sessions.
- Weight & Dimensions: At 2.78 kilos and 7.7 x 9.5 inches, it’s miles a substantial volume that feels as authoritative as the facts it carries.
Edition Info
- Edition: 1st Edition
- Publisher: Wiley
- ISBN-thirteen: 978-1118290279
- Language: English
Author Information
Published by way of Wiley, a global leader in research and schooling, this text is authored by using a team of experts that specialize in computational geometry and algorithm layout. The authors are famend for his or her capability to translate instructional complexity into clean, readable English, making them some of the maximum respected voices within the Python community. Their collective experience guarantees that each bankruptcy displays present day enterprise quality practices.
Frequently Asked Questions (FAQs)
1. Is this book suitable for absolute beginners in Python?
While the book is written virtually, it assumes a fundamental familiarity with Python syntax (variables, loops, and functions). It is designed to take an intermediate programmer to a sophisticated degree by way of coaching them how to arrange statistics successfully.
2. Does the book cover Python 3?
Yes, this version makes a speciality of present day Python requirements, ensuring that the object-orientated ideas and memory control strategies mentioned are applicable to contemporary improvement environments.
3. Why pick out the paperback version over a virtual replica?
Given the 768-web page length and the density of the diagrams, many readers find the paperback format advanced for annotating, bookmarking, and go-referencing complex algorithms with out eye stress.
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| Weight | 2.78 lbs |
|---|---|
| Dimensions | 14.097 × 2.159 × 20.828 in |
Terrence Mulligan –
A very helpful book for understanding core data structures and algorithms using Python. The explanations and examples make complex concepts easier to grasp.
Bryce Calloway –
Well organized and clear. It’s a strong learning resource for students preparing for programming or computer science courses.
Randall Keaton –
Good introduction to algorithm design and problem solving.
Victor Langston –
This book explains lists, trees, graphs, and sorting techniques in a structured way. The examples help connect theory with practical coding.
Jerome Whitlock –
A solid reference for beginners and intermediate programmers. The step-by-step explanations make learning easier.
Colin Markham –
Clear writing and well-structured chapters. Helpful for understanding both concepts and implementation.
Lawrence Penfield –
Very informative guide to fundamental algorithms. The exercises help reinforce learning and improve problem-solving skills.
Stuart McAllister –
A dependable textbook for building a strong programming foundation. The coverage of data structures is thorough and well explained.