Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Computer Science Modelling & Simulation
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Learn to Program, Simulate PLC & HMI in Minutes with Real-World Examples from Scratch. A No BS, No Fluff Practical Hands-on Project for Beginner to Intermediate: An Industrial Automation Tech Guide
Mosaic Notebook: (Purple Edition) Abstract notebook 192 ruled/lined pages (8x10 inches / 20.3x25.4 cm / Large Jotter)
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
30 Agents Every AI Engineer Must Build: Build production-ready agent systems using proven architectures and patterns
Hands-On Large Language Models: Language Understanding and Generation
The Simulated Multiverse: An MIT Computer Scientist Explores Parallel Universes, the Simulation Hypothesis, Quantum Computing and the Mandela Effect
