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Hello,

Welcome to issue #383!
Last week I was uber happy to discover an awesome video review of my book Node.js Design Patterns! So let me officially thank Alfonso here for that! Make sure to check out his YouTube channel for some cool videos about web development!
Now let's get into some cool handcrafted and handpicked full-stack content! Happy full-stack week! 😍
Your editor, Luciano.

“Just because something doesn't do what you planned it to do doesn't mean it's useless“

— Thomas Edison , Inventor

How Airbnb Smoothly Upgrades React — Learn how AirBnB ncrementally modernizes their frontend infrastructure to roll out the latest React features without downgrades. Read article

CSS Grid Areas — A fresh look at the CSS grid template areas and how to take advantage of its full potential today. Read article

Design GUI - Browser Extension for managing colors in CSS Variables — Design GUI is a very interesting browser extension for managing colors in CSS Variables. One of the most interesting features is its AI-generated color palette, but there's also accessibility testing and support for shadcn/ui and daisyUI (with more coming soon). Read article

How not to use box shadows — "So you think you know box shadows huh? I bet you didn't know they could do this!" ... When an article starts like this, how can you not read it?! Read article

Tailwind CSS Gradients - Collection of gradients for Tailwind — This free collection contains lots of different gradients, ready to use in your Tailwind project. Get inspired, mix and match or use them directly. Read article

How to choose the best rendering strategy for your app —  Demystify Next.js rendering strategies: SSG, SSR, CSR, ISR, and PPR. Optimize your web apps for performance, SEO, and user experience. Learn when and how to use each approach with real-world examples and practical tips for modern web development. Read article

Engineering Principles for Building Financial Systems — Best practices and principles to create accurate and reliable software-based financial systems. Read article

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

by Wes McKinney

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

OK, fine! You can have more content! 😤

• Ruby methods are colorless
• Slashing our AWS Bill at Levels.fyi
• nho: 📌 1KB Web Component Abstraction
• tailwindcss-intersect: Tailwind CSS with Intersection Observer variants
• Button Stealer (Browser extension)
• When Objects Are Not Enough
• How Canva collects 25 billion events per day
• Writing a book about Rust and AWS Lambda (AWS Bites Podcast)

👋 That’s all for this week. See you next Monday!

Greetings from your full stack friends Luciano & Andrea