Products

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking -- Foster Provost - Paperback

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems -- Martin Kleppmann - Paperback

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications -- Chip Huyen - Paperback

Escaping the Build Trap: How Effective Product Management Creates Real Value -- Melissa Perri - Paperback

Fluent Python: Clear, Concise, and Effective Programming -- Luciano Ramalho - Paperback

Fundamentals of Data Engineering: Plan and Build Robust Data Systems -- Joe Reis - Paperback

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems -- Aurélien Géron - Paperback

Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software -- Eric Freeman - Paperback

Laws of UX: Using Psychology to Design Better Products & Services -- Jon Yablonski - Paperback

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python -- Peter Bruce - Paperback

Python Pocket Reference: Python in Your Pocket -- Mark Lutz - Paperback

Rust Atomics and Locks: Low-Level Concurrency in Practice -- Mara Bos - Paperback

Security Chaos Engineering: Sustaining Resilience in Software and Systems -- Kelly Shortridge - Paperback

Software Engineering at Google: Lessons Learned from Programming Over Time -- Titus Winters - Paperback

The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change -- Camille Fournier - Paperback

The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change -- Tanya Reilly - Paperback

User Story Mapping -- Jeff Patton - Paperback