Computers & Internet
Data Abstraction & Problem Solving with Java (English, Janet Prichard | Frank Carrano)
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Specifications
| Publisher | Pearson |
| Language | English |
| ISBN-13 | 9780132122306 |
| ISBN-10 | 0132122308 |
| Author | Janet Prichard | Frank Carrano |
Product Description
Here on GlowMirror, you'll find Data Abstraction & Problem Solving with Java filed under Computers & Internet -- everything you need to know is covered below.
About the Book
The Third Edition of Data Abstraction and Problem Solving with Java: Walls and Mirrors employs the analogies of Walls (data abstraction) and Mirrors (recursion) to teach Java programming design solutions, in a way that beginning students find accessible. The book has a student-friendly pedagogical approach that carefully accounts for the strengths and weaknesses of the Java language. With this book, students will gain a solid foundation in data a…
ISBN: 9780132122306
Book Insights
What You'll Learn
- ·Fundamental and advanced concepts in Data Abstraction & Problem Solving with Java
- ·Code examples, algorithms, and implementation patterns
- ·Best practices and industry-relevant skills
Who Should Read This
Software developers, IT professionals, computer science students, and tech enthusiasts.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Frequently Asked Questions
What is the price of Data Abstraction & Problem Solving with Java?
Data Abstraction & Problem Solving with Java is available at ₹5,052 on GlowMirror. The original MRP is ₹27,215, saving you 81%.
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Is Data Abstraction & Problem Solving with Java available in English?
Data Abstraction & Problem Solving with Java is available in English on GlowMirror.
Who is the author of Data Abstraction & Problem Solving with Java?
Data Abstraction & Problem Solving with Java is authored by Janet Prichard | Frank Carrano.
Who published Data Abstraction & Problem Solving with Java?
Data Abstraction & Problem Solving with Java is published by Pearson.
How many pages does Data Abstraction & Problem Solving with Java have?
Page count information for Data Abstraction & Problem Solving with Java is available in the specifications section of this page.
How long does it take to read Data Abstraction & Problem Solving with Java?
At an average reading speed of 250 words per minute, reading Data Abstraction & Problem Solving with Java takes a few hours to a few days depending on reading pace.
What is Data Abstraction & Problem Solving with Java about?
About the Book
The Third Edition of Data Abstraction and Problem Solving with Java: Walls and Mirrors employs the analogies of Walls (data abstraction) and Mirrors (recursion) to teach Java programming design solutions, in a way that beginning students find accessible. The book has a student-frien...
Is Data Abstraction & Problem Solving with Java suitable for beginners?
Whether Data Abstraction & Problem Solving with Java is suitable for beginners depends on your background in Computers & Internet. Review the product description and specifications above for details on the target audience and difficulty level.
What edition is Data Abstraction & Problem Solving with Java?
Data Abstraction & Problem Solving with Java is from the Pearson edition/year. Check the specifications section for full edition details.
How do I order Data Abstraction & Problem Solving with Java on GlowMirror?
To order Data Abstraction & Problem Solving with Java on GlowMirror, click the "Add to Cart" button on this page, proceed to checkout, and choose your preferred payment method — online payment or Cash on Delivery. Delivery takes 2–7 business days across India.
Is Data Abstraction & Problem Solving with Java a new or used book?
Data Abstraction & Problem Solving with Java listed on GlowMirror is a brand new book in good condition.
Can I get Data Abstraction & Problem Solving with Java delivered across India?
Yes, GlowMirror delivers Data Abstraction & Problem Solving with Java across India. Use the pincode checker on this page to verify delivery availability to your location.
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