How Airbnb Smoothly Upgrades React
Learn how AirBnB ncrementally modernizes their frontend infrastructure to roll out the latest React features without downgrades.
“Just because something doesn't do what you planned it to do doesn't mean it's useless“”
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.
Learn how AirBnB ncrementally modernizes their frontend infrastructure to roll out the latest React features without downgrades.
A fresh look at the CSS grid template areas and how to take advantage of its full potential today.
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).
"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?!
This free collection contains lots of different gradients, ready to use in your Tailwind project. Get inspired, mix and match or use them directly.
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.
Best practices and principles to create accurate and reliable software-based financial systems.
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.