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Recently, while working on a project that involved formatting text for a JSON file, I needed to add double quotes around strings in Python. It sounds simple, right? But depending on how you’re handling strings, it can be tricky to get the quotes to appear exactly where you want them. Over my years as a … Read more >>
Recently, I was working on a project where I needed to calculate the total of a list of numbers in Python, but I wasn’t allowed to use the built-in sum() function. At first, I thought this would be a challenge, but after exploring different approaches, I found several simple and efficient ways to do it. … Read more >>
Working on a Python automation project for a retail analytics company in the USA, I had to manage large datasets stored as JSON files. These files contained customer details, sales numbers, and product metadata, all structured as Python dictionaries. At that point, I realized how essential it is to master Python dict methods. These methods … Read more >>
I was working on a Python project where I needed to display a list of U.S. cities in alphabetical order. It seemed like a simple task, but I quickly realized there were multiple ways to do it efficiently in Python. As someone who has been developing in Python for over ten years, I’ve seen many … Read more >>
Working on a Python project that involved handling dates for a payroll system, I needed to determine whether a given year was a leap year or not. At first glance, it seemed like a simple problem, but as a Python developer with over 10 years of experience, I know that even simple date-related logic can … Read more >>
While working on a Python automation project for a client in New York, I needed to fetch the last few records from a large dataset. The data was stored in a Python list, and I only wanted the last N elements, say, the last 5 transactions. At first, it seemed simple, but as I explored … Read more >>
Working on a data processing project for a U.S.-based retail analytics company, I needed to keep a Python loop running until two separate conditions were met, one related to data completeness and another to error validation. That’s when I realized many Python beginners struggle with the while loop with multiple conditions. It’s not because the … Read more >>
Recently, while working on a small Python project for a quiz app, I needed to determine which of three players had the highest score. It sounded simple, but I wanted a clean, reusable Python function that could find the maximum of three numbers, efficiently and clearly. After more than a decade of working with Python, … Read more >>
While working on a data visualization project for one of my clients in the USA, I needed to show measurement uncertainty that wasn’t the same above and below each data point. That’s when I realized I needed asymmetric error bars in my Matplotlib chart. If you’ve ever used Matplotlib in Python, you probably know it’s … Read more >>
When I first started using Python for data visualization, one of the most common challenges I faced was representing uncertainty in data. I often had datasets where each point had a margin of error, and that’s when I discovered how powerful error bars in Matplotlib scatter plots can be. Over the years, I’ve used scatter … Read more >>
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