Bijay Kumar 
When I first started learning React after years of working with Python, the concept of components felt both exciting and confusing. I quickly realized that components are the heart of React. They are what make React applications modular, reusable, and easy to maintain. In this tutorial, I’ll share what a React component is, why it … Read more >>
Recently, I was working on a React project where I needed to display a long list of data from an API. The challenge was obvious: loading everything at once was slowing down the page. That’s when I decided to use infinite scrolling. Instead of loading all the data upfront, I could load small chunks as … Read more >>
As a developer, I was working on a React project where I wanted to reuse the same layout but swap out different components depending on the page. The issue was… I didn’t want to duplicate code or hard-code components into the layout. That’s when I discovered a trick: passing a component as a prop in … Read more >>
I was working on a React project where I needed to display a large dataset in a clean and user-friendly way. At first, I thought about building a custom table from scratch, but I quickly realized it would be time-consuming. That’s when I started using react-data-table-component (RDT). It’s lightweight, flexible, and makes table creation in … Read more >>
When I first started building React apps, I often wrote every button, modal, and form from scratch. It was time-consuming, and consistency was hard to maintain across large projects. Over the years, I’ve tested dozens of React UI libraries; some worked beautifully, others slowed projects down. Today, in 2025, the ecosystem is rich with powerful, … Read more >>
Recently, I was working on a Python project where I had to visualize some experimental data with error bars and also emphasize a reference value using a horizontal line. At first, I thought Matplotlib might have a built-in option for combining error bars with horizontal lines. But after a bit of exploration, I realized we … Read more >>
While I was working on a Python project, I needed to highlight certain thresholds across multiple charts. I was using Matplotlib subplots to show different datasets side by side, and I wanted to add a horizontal line in each subplot to mark a reference value. At first, I thought there would be a quick one-click … Read more >>
When I first started working with Python for data visualization, I often needed to highlight thresholds or reference levels in my charts. One of the simplest ways to do this is by adding horizontal lines. I’ve used horizontal lines in Matplotlib countless times. Whether I was analyzing stock prices, visualizing air quality data, or building … Read more >>
I was working on a project where I needed to highlight certain thresholds in a chart. The data was from a survey on average working hours across US states, and I wanted to show benchmarks with labeled horizontal lines. At first, I thought Matplotlib would have a direct option to add labeled horizontal lines. But … Read more >>
Recently, I was working on a data visualization project where I needed to display contour plots with dashed lines. The problem was: I wanted to highlight specific contour levels with different line styles so that my audience could quickly distinguish them. I knew there had to be a clean way to do this. Over the … Read more >>
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