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 >>
As a developer, I was working on a project where I had to clean up customer data in a large dataset. One of the tasks was to extract the first few characters from a string, such as trimming ZIP codes to the first three digits or keeping only the first five characters of a product … Read more >>
I was working on a data-cleaning task where I had to transform and filter a list of U.S. city names. I wanted a quick way to apply conditions and transformations without writing long functions. That’s when lambda with list comprehension came in handy. This combination gave me cleaner, more Pythonic code. In this tutorial, I’ll … Read more >>
Recently, I was working on cleaning up some text data for a project in the USA, where customer feedback was collected through multiple online forms. The issue? Many users typed in special characters like @, #, !, and %, which made the data messy and hard to analyze. But I noticed that I still needed … Read more >>
I was working on a project where I had to find the position of the smallest number in a list. At first, I thought it would be simple. But then I realized there are multiple ways to do this in Python, each with its own advantages. In this tutorial, I’ll show you five simple methods … Read more >>
Download a FREE PDF (112 Pages) Containing 51 Useful Python Programs.
Download a FREE PDF on how to become a Python developer.