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Practical Natural Language Processing provides a comprehensive, production-focused guide to building real-world NLP systems. It covers the full lifecycle from data collection to deployment across various industries, bridging the gap between academic theory and the practical demands of modern software engineering.

Master web scraping with Web Scraping with Python 3rd Edition guide. Learn to use Python for extracting data from any website, handling JavaScript, APIs, and bot blockers. From basic HTML parsing to advanced Scrapy crawlers, Ryan Mitchell provides a comprehensive, hands-on approach to turning the web into your personal database.

Shigley's Mechanical Engineering Design is the standard for machine design, blending fundamental principles with modern applications. This 12th edition (2024 Release) by Budynas and Nisbett helps students master design decisions and industrial standards through clear examples and problem-solving techniques.

Computer Architecture A Quantitative Approach 7th Edition of this classic text by Turing Award winners Hennessy and Patterson, with Christos Kozyrakis, covers the latest in processor and system architecture. It emphasizes a quantitative approach to design, focusing on GPUs, CPUs, domain-specific architectures, and the shift toward heterogeneous computing.

Computer Networking A Top-Down Approach 9th Edition provides a modern, application-first introduction to networking. Written by James Kurose and Keith Ross, it covers fundamental principles and the latest technologies like 5G, Wifi 6 and SDN, using the Internet as a primary example to engage students and practitioners.

Natural Language Processing with PyTorch offers a practical guide for developers to master deep learning for text. Learn PyTorch basics, embeddings, and sequence models while building real-world NLP applications like chatbots and translators. Perfect for those looking to bridge the gap between theory and production.