When I first started working with React over eight years ago, creating reusable UI components was always a challenge. One component I often needed was a sidebar, a navigation panel that could collapse, expand, and adapt to different screen sizes. In this article, I’ll walk you through how to build a clean, responsive React sidebar … Read more >>
As a React developer, I’ve worked on countless projects that involve handling JSON data. Whether it’s configuration files, API responses, or user-generated content, JSON is everywhere. Editing JSON data directly in a React app can be tricky without a proper editor component. That’s why I want to share my firsthand experience on how to use … Read more >>
A few months ago, while working on a React dashboard project for a client, I realized we were repeating the same component logic for different data types. Each component looked nearly identical; only the data structure varied. That’s when I decided to use TypeScript generics to make our components reusable, type-safe, and easy to maintain. … Read more >>
Classifying 3D point clouds is a fundamental problem in computer vision. From my experience as a Python Keras developer, PointNet stands out as an elegant solution that handles unordered point sets directly. In this guide, I’ll walk you through building a PointNet model for point cloud classification using Keras. You’ll get complete code snippets for … Read more >>
Segmenting 3D point clouds is a key task in computer vision and robotics. From my experience as a Python Keras developer, PointNet provides a simple yet powerful architecture to handle unordered point sets directly. In this tutorial, I will guide you through building a PointNet model for point cloud segmentation using Keras. You’ll get full … Read more >>
Neural Radiance Fields (NeRF) have revolutionized 3D volumetric rendering by enabling photorealistic novel view synthesis from 2D images. As an experienced Python Keras developer, I found implementing NeRF both challenging and rewarding. In this tutorial, I’ll walk you through building a NeRF model in Keras from scratch. You’ll get full code examples for each method, … Read more >>
As a React developer, I’ve often faced scenarios where I needed to render components dynamically based on user input, API data, or other runtime conditions. React’s component-based architecture is powerful, but sometimes you want to take it a step further by dynamically selecting which component to render without hardcoding each possibility. In this article, I’ll … Read more >>
Python Turtle appears simple at first glance, but it offers powerful ways to explore graphics programming while improving logical thinking. Many interviewers use it to test coding fundamentals, creativity, and problem-solving skills. Understanding how to control the turtle, manipulate colors, and handle events can demonstrate practical Python knowledge that stands out in technical interviews. This … Read more >>
Django interviews can feel challenging because the framework covers many technical areas. Developers need to understand core concepts like models and views, as well as more advanced topics like security, optimization, and deployment. Here are 51 Django interview questions and answers that help developers prepare for technical interviews by covering essential framework concepts, practical implementations, … Read more >>
Keypoint detection is a fascinating computer vision task with applications in pose estimation, facial landmark detection, and more. Over the past four years working with Keras and Python, I’ve found transfer learning to be a powerful way to build accurate keypoint detectors without starting from scratch. In this tutorial, I’ll walk you through how to … Read more >>