In this tutorial, I will explain how to check if a string is ASCII in Python. As a Python developer, I encountered a situation where I needed to check if a string was ASCII in one of my projects for my New York clients. Throughout this guide, I will use examples with USA-specific names to … Read more >>
When I was working on a data science project, I needed to combine multiple NumPy arrays. I realized that many Python developers get confused between NumPy’s concatenate and append functions – both seem to do similar things, but there are crucial differences between them. In this article, I’ll cover how to use both methods, when … Read more >>
When analyzing data in Python, I often need to see relationships between categorical variables. Creating cross-tabulations with percentage values has been one of my go-to techniques for years. While I was working on a project analyzing voter demographics, I needed to see the percentage breakdown across different categories. The solution? Pandas crosstab with normalization. In … Read more >>
While working on a data project, I needed to merge multiple arrays into a single one. At first, I thought it would be simple, but I quickly realized there are many different ways to do it in Python, depending on the type of array I was working with. Over the years, as a Python developer, … Read more >>
While working on a data-cleaning project for a retail company in the USA, I had to remove certain unwanted values from a Python list. At first glance, this sounds like a simple task. But as I dug deeper, I realized there are multiple ways to remove an element from a list in Python. Each method … Read more >>
When I first started working with Python, one of the simplest yet most essential operations I learned was subtraction. Whether it was subtracting two numbers, calculating differences between lists, or subtracting user inputs, subtraction has always been a core part of Python programming. In this tutorial, I’ll walk you through how to create a Python … Read more >>
You’re analyzing monthly sales or website traffic and need a clean starting point — an array that starts with all values at 0, ready for your calculations. Maybe you want to store future totals, track daily counts, or pre-allocate space for data you’ll fill in later. If you try to build this manually, it gets repetitive … Read more >>
Last month, I had to iterate through a 2D array in Python while building a paid time off app for a client’s 10-person US team. HR tracked requests in a shared Excel sheet, so I replaced it with a local Python app and SQLite database. The SQLite query returned a list of tuples, which works … Read more >>
When I build reporting scripts, I often receive records in oldest-to-newest order. Reversing the array lets me process the latest transactions, log entries, or sensor readings first. You can reverse an array in Python with slicing, reverse(), reversed(), a loop, the array module, or NumPy. The right option depends on whether you need a new … Read more >>
Employee scheduling, spreadsheets, and game boards all share one shape: rows and columns. I once built a weekly leave grid for a 10-person team after their HR spreadsheet became hard to maintain. That project showed me why you must initialize a 2D array in Python correctly before touching a single value. A 2D array is … Read more >>