Bijay Kumar 
Over the past ten years of building financial applications in Python, I have come to realize one thing: users dislike reading raw numbers. Seeing a value like 10000000 on a dashboard is frustrating. It takes a second or two for the brain to process whether that is ten million or one hundred million. We rely … Read more >>
As a React developer with over eight years of experience, I’ve built countless components, but the login form remains one of the most essential and frequently used. Whether you’re creating a corporate app for any company or a consumer-facing platform, a clean, functional login component is crucial. In this article, I’ll walk you through building … Read more >>
When I first started building React applications over eight years ago, understanding how to pass content between components was a crucial skill. One of the most powerful features in React is the ability to pass children to components, allowing you to create flexible, reusable UI elements. If you’re working on a React project in the … Read more >>
Developers who want to build modern desktop applications often turn to PyQt6. It combines the flexibility of Python with the powerful Qt framework. With PyQt6, you can create rich, cross-platform interfaces that handle events efficiently and have responsive layouts. Knowing common PyQt6 interview questions lets professionals show their practical skills in GUI development and Python … Read more >>
I’ve worked on countless projects where managing component functions effectively was key to building scalable and maintainable applications. One common question I often get asked is: How do you export functions from React components? Whether you want to share utility functions, event handlers, or helper methods across your app, understanding how to export them properly … 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 >>
I’ve found that filling areas between lines is one of the most visually effective ways to highlight ranges and intervals in your plots. Whether you want to emphasize a confidence interval, mark a threshold, or simply make your charts more intuitive, using Matplotlib’s fill capabilities can make a big difference. In this tutorial, I will … Read more >>
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 >>
I often get asked how to create visually appealing plots that go beyond simple lines and scatter plots. One common challenge is shading complex shapes like circles. While Matplotlib’s fill_between function is typically used for shading areas between curves, you can cleverly adapt it to shade inside a circle. In this article, I will walk … Read more >>
When I started working with Python’s Matplotlib library, customizing plots was always a key part of making my data visualizations clear and professional. One common task I often encounter is the need to hide or make invisible the y-axis tick labels without removing the ticks themselves. This helps in creating cleaner plots where the numerical … Read more >>
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