Over the years, I have managed massive datasets of product images for e-commerce platforms. One of the biggest headaches I faced was dealing with nearly identical images, photos taken from slightly different angles or with different lighting. In this tutorial, I will show you exactly how I solved this using Python Keras to efficiently identify … Read more >>
Handling data efficiently is a core part of my daily routine as a Python developer. Over the last decade, I have found that tuples are one of the most reliable ways to store structured information. Recently, I was working on a project involving US Census data. I needed to organize a large list of cities … Read more >>
I have spent over a decade writing Python code, and if there is one task I perform daily, it is searching for specific text within a larger body of data. Whether I am filtering through US Census Bureau datasets or parsing address strings from a California real estate database, checking for a substring is a … Read more >>
I have constantly found myself needing to extract the extremes from datasets. Whether I was analyzing stock prices on the NYSE or processing census data from California, identifying the maximum and minimum values was always the first step. In this tutorial, I will show you exactly how to find the largest and smallest numbers in … Read more >>
During my ten years of developing Python applications for financial firms in New York, I have often faced a recurring challenge. I frequently need to verify if a data input, like a ZIP code or a Social Security Number fragment, is actually an integer before processing it. If you don’t validate these variable types, your … Read more >>
I remember when I first started coding in Python over a decade ago. One of the first things I had to figure out was basic arithmetic. While dividing two numbers sounds like a simple task, Python offers a few different ways to handle it depending on what you need. In this tutorial, I will show … Read more >>
I have spent over a decade writing Python code for various engineering projects across the United States. Calculating the area of a square is one of the most fundamental tasks you will encounter when starting with Python geometry. Whether you are building a real estate app for Texas ranch sizes or a simple flooring calculator … Read more >>
Getting ready for a React JS interview? It can feel overwhelming, especially if you’re not sure where to start. React’s still the go-to for front-end work, so knowing its core ideas is a must for anyone serious about building modern web apps. I have given 75 React JS interview questions and answers to help you … Read more >>
Working with data visualization in Python often requires us to show hierarchical relationships. One of my favorite ways to represent this is through a nested pie chart. I have spent over a decade building complex dashboards using Python. I found that a standard pie chart often fails when you need to show a “breakdown of … Read more >>
Have you ever tried to compare different datasets side-by-side and realized a single chart just doesn’t cut it? In my years working as a Python developer, I have often found that a Python Matplotlib multiple pie chart layout is the best way to visualize proportions across different categories. Whether you are comparing regional sales or … Read more >>
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