Smiling Dev
Thoughts, tutorials, and insights on web development, design, and technology.
Something that impressed me this last week is the buzz surrounding a new Python framework called Polars. It has been touted as the successor to Pandas, boasting a better API and significantly faster performance. Plus, it’s written in Rust, which always draws attention nowadays
Comparing WordPress, Squarespace, and professional Astro websites. While DIY platforms seem cheaper upfront, the long-term costs in performance, flexibility, and opportunity might surprise you.
A practical look at using AI agents to rewrite a Java Spring Boot backend service into a TypeScript Hono serverless application, achieving better performance with less maintenance overhead.
This was a big writeup of my five days of struggling to deploy airflow to Amazon ECS. May you not have as many difficulties as I did?
I'll take you through the process of optimizing a Sudoku solver written in Rust. We'll start with a simple, unoptimized version and apply a series of optimizations that will take the time to solve 100,000 puzzles from over 5 minutes down to just 33 seconds, and 20,000 of the hardest puzzles from over 2 minutes down to just 17 seconds.
Being intentional about the sources of media, articles, entertainment with my time has been helping me reflect on the current state of technology and social media apps. I'm wary of the amount of time I use it and the image that I present to kids.
Don’t try to bring disjointed technologies and a half made developer experience into your next business. Use reliable tools and well designed products
UV fixes a lot of common headaches for Python developers. It helps you ditch old habits like requirements.txt (which was never really meant to be a standard) and the hassle of activating virtual environments. With UV, your projects become cleaner, more reliable, and a lot more fun to work with.
As a one-person team managing backend services for a few businesses, finding a reliable and efficient Backend as a Service (BaaS) is crucial. For the past three years, AWS Amplify has been that service for me.
I just wanna put this out as a PSA that you should be writing and making products that work well AND they solve a end user frustration. Seems stupid to say this until your realize how easy it is for a project at work to carry on 6 month ( or even years!!! ) without getting substantial and valid criticism and feedback.
For anyone that has been either living under a programming rock or honestly has stuff to do outside of python development, you may not have heard about Pydantic.
I have a few things I’ve seen across companies and projects that I’ve seen working with Python that are annoying, hard to maintain, and are antiquated. Lets jump right in