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Computer & Software Engineering
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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Clean Code: A Handbook of Agile Software Craftsmanship
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Domain-Driven Design: Tackling Complexity in the Heart of Software
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Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People
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Microelectronic Circuits – 8th Edition
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data – 1st Edition
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System Design Interview – An insider’s guide
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