Bijay Kumar 
Exporting data to Excel or PDF is common, but I recently faced a challenge where a client in New York wanted to export live React dashboard charts directly into a PowerPoint slide deck for their weekly board meetings. While it sounds complicated, I found that converting React components to PPTX files is actually quite easy … Read more >>
I’ve seen how quickly a project can spiral into a debugging nightmare without proper typing. Adding TypeScript to your React components is one of the best moves you can make to ensure your code is predictable and easy to maintain. In this tutorial, I will show you the different ways to type React components using … Read more >>
Working with React for over the years has taught me one thing: components are like living organisms. They are born, they grow, they change, and eventually, they pass away. I remember my first large-scale project where I ignored these phases. The app was a mess of memory leaks and ghost data. Once I mastered the … Read more >>
I’ve seen the library evolve from simple class components to the robust, concurrent engine it is today. One of the most fundamental tasks, mounting your app to the DOM, underwent a significant change with the release of React 18. If you are upgrading an older project or starting a new one, you might have noticed … Read more >>
I’ve found that raw datasets are rarely ever “clean” right out of the gate. I often come across columns where multiple pieces of information are crammed into a single cell, separated by a comma, a space, or a hyphen. Whether it’s a full name that needs to be separated into “First” and “Last” or a … Read more >>
I’ve spent years wrangling data in Python, and one of the most common things I do is check the size of my dataset. Whether I am loading a CSV of US Census data or analyzing California housing prices, I always need to know how many records I am dealing with. Knowing the number of rows … Read more >>
During my years working with large datasets in Python, I’ve found that selecting specific rows is one of the most frequent tasks you’ll perform. Whether you are cleaning financial records or analyzing census data, knowing how to grab a row by its index is a fundamental skill. In this tutorial, I will show you exactly … Read more >>
As a seasoned Python developer, I have spent countless hours wrangling data for various US-based fintech and retail firms. One of the most frequent tasks I encounter is the need to pull a specific column out of a Pandas DataFrame and turn it into a standard Python list. Whether I am preparing data for a … Read more >>
Dealing with date information in Python can be a bit like navigating traffic in New York City—it’s hectic until you know the right lanes to be in. In my years of developing data pipelines, I’ve found that dates rarely arrive in the format you actually need for analysis. Usually, they show up as simple strings, … Read more >>
Recently, during a TypeScript webinar, someone asked if TypeScript is a frontend or backend tool. In fact, this is a common question asked by many developers: Is TypeScript better suited for frontend or backend development? The answer is both! In this tutorial, I will explain the capabilities of TypeScript for both frontend and backend development. … Read more >>
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