Bijay Kumar 
As a developer, I was working on a data-cleaning project where I had to process a large JSON dataset from an API. The dataset represented customer information, but many records contained empty keys that served no purpose. If you’ve ever worked with dictionaries in Python, you know they’re one of the most powerful data structures. … Read more >>
Recently, I was working on a data-cleaning project where I had to verify if a smaller list of values existed inside a larger dataset. At first, I thought Python might have a direct built-in method for this. But just like in Excel, where you don’t always get a direct option (for example, filtering strikethrough text), … Read more >>
When I first started coding in Python more than a decade ago, I often wondered why there wasn’t a built-in increment (++) or decrement (–) operator like in C or Java. If you’re new to Python, this can feel confusing at first. But don’t worry: Python makes this process simple and flexible with its own … Read more >>
I was working with a team of data analysts in New York. We were optimizing some Python functions that handled large datasets. During the review, one of the junior developers asked me: “Does Python use call by value or call by reference?” This is a common question. I’ve been coding in Python for more than … Read more >>
Recently, I was working on a small project where I needed to check if a number was a perfect number. At first, I thought Python might have a built-in function for this. But just like Excel doesn’t have a direct way to filter strikethrough cells, Python doesn’t come with a ready-made tool for perfect numbers. … Read more >>
When I first started teaching Python to beginners, one of the most common questions I got was: How do I calculate the area of a rectangle It’s a simple problem, but it’s also one of the best ways to understand how Python handles inputs, variables, and basic arithmetic. In this tutorial, I’ll show you step … Read more >>
When I first started working with date-related data in Python, one of the most common problems I ran into was converting month names into numbers. For example, I often received data files where months were written as “January”, “Feb”, or “Sept”. But for analysis, I needed them as numbers like 1, 2, or 9. Over … Read more >>
When I first started working with TensorFlow, one of the things that confused me was how to take a regular Python list and turn it into a tensor. It sounds simple, right? But when you’re dealing with machine learning models, you often get data in lists or arrays, and you need to convert them into … Read more >>
Recently, while working on a deep learning project in TensorFlow, I ran into an error that stopped me in my tracks: At first, I thought I had a typo in my code. But after checking a few times, I realized the issue was with TensorFlow itself. If you’ve been coding in TensorFlow for a while, … Read more >>
While working on a deep learning project, I ran into an error that left me scratching my head: At first, I thought it was a version mismatch or maybe a typo in my code. But after digging deeper, I realized this error is quite common, especially when moving between TensorFlow 1.x and TensorFlow 2.x. In … Read more >>
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