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I have found that “empty” variables are the leading cause of crashes. I remember once debugging a Python script that processed IRS tax forms. A single “None” value in a list of deductions caused the entire payroll run to fail. Checking if a variable is not empty in Python is a fundamental skill that separates … Read more >>
In my ten years of architecting Python solutions for data-heavy firms in Chicago, I have seen developers stumble over one specific concept: the “empty” number. In Python, strings can be empty (“”) and lists can be empty ([]), but a float is a numeric type. It always holds a value, even if that value represents … Read more >>
Python Turtle appears simple at first glance, but it offers powerful ways to explore graphics programming while improving logical thinking. Many interviewers use it to test coding fundamentals, creativity, and problem-solving skills. Understanding how to control the turtle, manipulate colors, and handle events can demonstrate practical Python knowledge that stands out in technical interviews. This … Read more >>
To print 2 decimal places in Python, we can use the Python str.format() method with “{:.2f}” as string and float as a number. Then call the Python print(), it will print the float with 2 decimal places.
In my experience of writing Python code for data analytics firms, I have hit the same wall many times. You try to combine a piece of text with a decimal number, and Python throws a “TypeError.“ It is a classic beginner mistake, but even seasoned pros occasionally forget that Python is a strongly typed language. … Read more >>
In my Python development journey, few things are as frustrating as seeing a massive wall of red text in your terminal. One of the most common errors I encounter, especially when setting up new environments for US-based fintech projects, is the “command errored out with exit status 1.“ It usually happens when you are trying … Read more >>
Over the past ten years of building financial applications in Python, I have come to realize one thing: users dislike reading raw numbers. Seeing a value like 10000000 on a dashboard is frustrating. It takes a second or two for the brain to process whether that is ten million or one hundred million. We rely … Read more >>
Developers who want to build modern desktop applications often turn to PyQt6. It combines the flexibility of Python with the powerful Qt framework. With PyQt6, you can create rich, cross-platform interfaces that handle events efficiently and have responsive layouts. Knowing common PyQt6 interview questions lets professionals show their practical skills in GUI development and Python … Read more >>
I’ve found that filling areas between lines is one of the most visually effective ways to highlight ranges and intervals in your plots. Whether you want to emphasize a confidence interval, mark a threshold, or simply make your charts more intuitive, using Matplotlib’s fill capabilities can make a big difference. In this tutorial, I will … Read more >>
I often get asked how to create visually appealing plots that go beyond simple lines and scatter plots. One common challenge is shading complex shapes like circles. While Matplotlib’s fill_between function is typically used for shading areas between curves, you can cleverly adapt it to shade inside a circle. In this article, I will walk … Read more >>
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