Building a high-quality dashboard from scratch can take hundreds of hours. I have spent the last eight years building complex data interfaces for US-based fintech and healthcare startups. In my experience, picking the right component library is the most important decision you will make at the start of a project. I have used almost every … Read more >>
Testing React components used to feel like a chore. I remember spending hours mocking the DOM just to see if a button worked. Everything changed when I started using Cypress for component testing. It allows you to see your components in a real browser while you build them. In this guide, I will share my … Read more >>
Writing code in React for over the years has taught me one thing. You don’t always have to start from scratch. Often, you already have a beautiful HTML template or a legacy web page. You just need to bring it into the modern React ecosystem. In this guide, I will show you exactly how to … Read more >>
When I first started building web applications over eight years ago, creating a smooth image slider was a rite of passage for any frontend developer. Carousels are everywhere in modern UI design, from showcasing featured real estate listings in New York to displaying top-rated national parks across the US. In this tutorial, I will show … Read more >>
I’ve often been asked to build CMS platforms or internal tools that require rich text editing. Choosing the right React HTML editor component can be the difference between a smooth user experience and a maintenance nightmare. I have spent countless hours debugging contenteditable issues and state synchronization in complex forms. In this tutorial, I will … Read more >>
Handling structured data in deep learning used to feel like a constant battle with boilerplate code and manual preprocessing pipelines. I remember spending hours manually encoding strings and scaling numerical values before I discovered the power of the Keras FeatureSpace utility. In this tutorial, I’ll show you how to leverage FeatureSpace for advanced scenarios, making … Read more >>
Working with structured data in deep learning used to feel like a constant battle with preprocessing pipelines. I remember spending hours manually mapping integers and scaling floats before even touching a model. That changed when I started using the Keras FeatureSpace utility. It simplifies the entire process of mapping raw tabular data into a format … Read more >>
As a Keras developer who has spent the last four years building and scaling deep learning models, I have often struggled with the massive hardware requirements needed to fine-tune Large Language Models (LLMs). In my experience, trying to update every single weight in a model like GPT-2 is not only time-consuming but also incredibly expensive … Read more >>
Calculating the average of a list is one of those fundamental tasks I find myself doing almost every day as a developer. Whether I’m analyzing stock prices on the NYSE or looking at temperature trends in Chicago, getting that mean value is essential. In this tutorial, I will show you exactly how I handle calculating … Read more >>
As a Python developer, I’ve often found myself needing to transition between data structures. Sets are fantastic for ensuring that your data remains unique, but they lack the indexing and ordering capabilities that we often need for reporting. In this tutorial, I will show you exactly how to convert a Python set into a list … Read more >>
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