Bijay Kumar 
When I first began working with React functional components, one of the most common tasks I faced was fetching data from APIs. Whether it was pulling product data for an eCommerce dashboard or retrieving user information for a client portal, handling fetch results efficiently was crucial. Over the years, I’ve refined my approach to fetching … Read more >>
A few weeks ago, I was working on a React dashboard for a U.S.-based marketing analytics platform. One of the key requirements was to embed third-party widgets, like ad previews and live analytics, without affecting the main app’s styling or scripts. That’s when I turned to the React Frame Component. This nifty tool lets you … Read more >>
I first started using TypeScript with React, and I quickly realized how much cleaner and safer my code became. Gone were the days of guessing prop types or dealing with runtime errors that could’ve been caught earlier. Over the years, I’ve built dozens of production-grade React apps, from dashboards to e-commerce platforms, and TypeScript has … Read more >>
TensorFlow is one of the leading frameworks in artificial intelligence, powering many cutting-edge machine learning solutions worldwide. With the release of TensorFlow 3.x, Google takes another significant step toward more robust, flexible, and scalable ML development. For data scientists, developers, and AI enthusiasts, TensorFlow 3.x brings highly anticipated innovations and enhancements. This post walks you … Read more >>
Working with icons and graphics is part of almost every React project I’ve handled over the years. One of the most common formats I receive from designers is SVG (Scalable Vector Graphics). At first, I used SVGs as plain image files. But soon I realized that converting them into React components gave me more flexibility. … Read more >>
While working on a Python data visualization project, I realized how cluttered scatter plots can look when data points overlap. Especially when you’re dealing with thousands of points, the dense clusters can hide important patterns. That’s when I learned how to make Matplotlib scatter plots transparent, and it completely changed how I visualize large datasets. … Read more >>
I was working on a Python data visualization project where I needed to compare multiple datasets side by side using Matplotlib scatter plots. The challenge was to make each scatter plot look distinct, with different marker styles, colors, and sizes, while maintaining a consistent and visually appealing layout. In this tutorial, I’ll show you exactly … Read more >>
Machine learning has evolved rapidly in the past decade, and one of the driving forces behind this transformation is TensorFlow. When many people think of TensorFlow, they often picture it as just a library to train deep learning models. But in reality, TensorFlow is much more than that. It is an entire ecosystem, a collection … Read more >>
When I first started using Matplotlib in Python, I loved how easy it was to create scatter plots. But as my data projects became more complex, I realized that plain scatter plots often failed to highlight patterns effectively. That’s when I discovered the power of colormaps and outlines in Matplotlib scatter plots. These two simple … Read more >>
While working on a data visualization project for a U.S.-based sales dataset, I needed to make my scatter plots more informative and visually appealing. The default scatter plot looked too plain, and I wanted to highlight specific data points using different marker sizes and colors. In Python, Matplotlib is one of my go-to libraries for … Read more >>
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