Even bad code can function. But if code isn't clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code.

But it doesn't have to be that way. Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship.

Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code "on the fly...

Appropriate for all courses in data structures and algorithms, and for many intermediate-to-advanced level courses in Java programming.

Many students view data structures and algorithms as difficult to understand, but this book thoroughly demystifies them. Working in Java, Robert Lafore presents each essential data structure and algorithm, using clear and simple example programs accessible through a Web browser-based “Workshop Applets.” These programs demonstrate graphically exactly what ...

The Much-Anticipated Follow-Up to "Uncle Bob's" Highly Praised Clean Code  Programmers who endure and succeed amidst swirling uncertainty and nonstop pressure share a common attribute: They care deeply about the practice of creating software. They treat it as a craft. They are professionals. In The Clean Coder: A Code of Conduct for Professional Programmers, legendary software expert Robert C. Martin introduces the disciplines, techniques, tools, and practices of true software craftsmanship...

This print textbook is available for you to rent for your classes. The Pearson print rental program provides you with affordable access to learning materials, so you go to class ready to succeed. C How to Program is a user-friendly, code-intensive introduction to C programming with case studies introducing applications and system programming.

Like other texts of the Deitels' How to Program series, the book's modular presentation serves as a detailed beginner source of information for college ...

Now in its fourth edition, Foundations of Software Testing: ISTQB Certification is the essential guide to software testing and to the ISTQB Foundation qualification. Completely updated to comprehensively reflect the most recent changes to the 2018 ISTQB Foundation Syllabus, the book adopts a practical, hands-on approach, covering the fundamental topics that every system and software tester should know. The authors are themselves developers of the ISTQB syllabus and are highly respected intern...

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface.

Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code impl...

Now in its fifth edition, Foundations of Software Testing: ISTQB Certification is the essential guide to software testing and to the ISTQB Foundation qualification written by respected international authorities in software testing who themselves helped develop the ISTQB Syllabus. Completely updated to comprehensively reflect the most recent changes to the ISTQB Foundation Syllabus v 4.0, 2023, this book adopts a practical, hands-on approach, covering the fundamental topics that every system a...

Refactoring is about improving the design of existing code. It is the process of changing a software system in such a way that it does not alter the external behavior of the code, yet improves its internal structure. With refactoring you can even take a bad design and rework it into a good one. This book offers a thorough discussion of the principles of refactoring, including where to spot opportunities for refactoring, and how to set up the required tests. There is also a catalog of more tha...

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data as well as substantial material on machine learning.

The bo...