Issue #274

March 12, 2025

This week's book is "The Complete Developer" by M. Krause. This is a comprehensive guide that takes readers on a journey through the intricacies of modern full-stack web and API development. With over two decades of experience building websites and leading development teams, Krause offers an indispensable resource for developers at any career stage. The book covers various technologies, including TypeScript, React, Next.js, MongoDB, and Docker, providing a 360-degree view of web development.

One of the standout features of this book is its beginner-friendly approach, breaking down complex concepts into easy-to-follow steps. Krause meticulously covers every aspect of modern web application development, from building a React-driven frontend to constructing a robust backend using Mongoose and MongoDB, and integrating both REST and GraphQL APIs. The book is structured in two halves: one for demonstrating parts of the stack like React, Next.js, and Docker, and another for writing the final application and connecting the stack parts cohesively.

While some readers have found the material challenging for absolute beginners, many developers, including those with experience in other areas, have praised the book for its comprehensive coverage and practical approach. The inclusion of modern development practices and tools like Docker, Express.js, and OAuth for authentication sets readers up for real-world development scenarios. Despite the rapidly evolving nature of web technologies. "The Complete Developer" provides a solid foundation for mastering the modern full stack, making it a valuable resource for those looking to enhance their development skills with the latest Javascript based technologies.

The Complete Developer

1. B-Trees with Optimistic Lock Coupling [cedardb.com]
2. The Cultural Divide between Mathematics and AI [sugaku.net]
3. A Practical Guide to Running Local LLMs [spin.atomicobject.com]
4. How Anime Fans Stumbled upon a Mathematical Proof [scientificamerican.com]
5. Basics of Graph Neural Networks [lightning.ai]
6. Sorting Algorithms with CUDA! [ashwanirathee.com]
7. Breaking the Algorithmic Ceiling in Pre-Training with Inductive Moment Matching [lumalabs.ai]

• Urban highways are barriers to social ties (L. M. Aiello, A. Vybornova, S. Juhász, M. Szell, E. Bokányi)
• How far neuroscience is from understanding brains (P. E. Roland)
• Contribution of vaccination to improved survival and health: modelling 50 years of the Expanded Programme on Immunization (A. J. Shattock, H. C. Johnson, S. Y. Sim, A. Carter, P. Lambach, R. C. W. Hutubessy, et al)
• Direct and indirect impacts of the COVID-19 pandemic on life expectancy and person-years of life lost with and without disability: A systematic analysis for 18 European countries, 2020–2022 (S. Ahmadi-Abhari, P. Bandosz, M. J. Shipley, J. V. Lindbohm, A. Dehghan, P. Elliott, M. Kivimaki)
• Using semantic similarity to measure the echo of strategic communications (T. J. B. Cann, B. Dennes, T. Coan, S. O’Neill, H. T. P. Williams)
• Probabilistic Artificial Intelligence (A. Krause, J. Hübotter)
• A Survey on Post-training of Large Language Models (G. Tie, Z. Zhao, D. Song, F. Wei, R. Zhou, Y. Dai, W. Yin, Z. Yang, J. Yan, et al)

How I use LLMs

March 12, 2025

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