Electronic Books
Comprehensive digital library with thousands of academic and reference books
Available E-Books (10)
Advanced Engineering Mathematics
Author(s):
Dennis G. Zill, Warren S. Wright
ISBN:
978-1-284-105467-2
Comprehensive coverage of mathematical topics essential for engineering students including differential equations, linear algebra, vector calculus, and complex analysis.
Artificial Intelligence: A Modern Approach
Author(s):
Stuart Russell, Peter Norvig
ISBN:
978-0-134-610993-4
The most comprehensive and authoritative textbook on artificial intelligence, covering machine learning, deep learning, natural language processing, and robotics with practical applications.
Clean Code: A Handbook of Agile Software Craftsmanship
Author(s):
Robert C. Martin
ISBN:
978-0-132-350884-4
Learn to write clean, maintainable, and professional code with best practices, refactoring techniques, and agile development principles.
Database System Concepts
Author(s):
Abraham Silberschatz, Henry F. Korth
ISBN:
978-0-078-022159-7
Essential textbook for database design, implementation, and management covering relational databases, SQL, transaction processing, and distributed systems.
Design Patterns: Elements of Reusable Object-Oriented Software
Author(s):
Gang of Four
ISBN:
978-0-201-633610-9
Classic reference for software design patterns and object-oriented programming with reusable solutions to common design problems.
Digital Marketing Strategy
Author(s):
Simon Kingsnorth
ISBN:
978-0-749-482-105
A practical guide to developing and implementing successful digital marketing strategies in today's competitive online landscape, covering SEO, social media, content marketing, and analytics.
Introduction to Algorithms
Author(s):
Thomas H. Cormen, Charles E. Leiserson
ISBN:
978-0-262-046305-8
The definitive guide to algorithms and data structures, covering fundamental concepts, analysis techniques, and practical implementations for computer science students and professionals.
Machine Learning Yearning
Author(s):
Andrew Ng
ISBN:
978-0-999-379509-1
Practical guide to machine learning project structure, strategy, and best practices for organizing ML projects and teams.
Principles of Economics
Author(s):
N. Gregory Mankiw
ISBN:
978-1-337-516-947
A comprehensive introduction to economics that provides a clear understanding of economic principles with real-world applications and case studies from global markets.
The Lean Startup
Author(s):
Eric Ries
ISBN:
978-0-307-887894-2
Learn how to build successful businesses through validated learning, innovation accounting, and the Build-Measure-Learn feedback loop.