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I was troubleshooting a compatibility issue in a project where some features weren’t working as expected. The culprit turned out to be version-related – I was using Python 3.7 when the codebase required Python 3.9 or newer. This is a common scenario that many developers face. Knowing which Python version you’re running is crucial for … Read more >>
When I first started working with Python over a decade ago, one of the first tasks I needed to master was how to create a file in Python. Whether you’re saving logs, generating reports, or storing user data, file creation is a fundamental part of programming. In this tutorial, I’ll walk you through different ways … Read more >>
Recently, I was working on a small finance automation project where I needed to calculate Simple Interest for different loan amounts. Even though this is a basic concept, I realized many beginners struggle to implement it correctly in Python. So, in this tutorial, I’ll walk you through how to write a Python program to calculate … Read more >>
When I first started working with Python over a decade ago, one of the earliest lessons I learned was the importance of naming things properly. Whether it’s a variable, a function, or a class, the names we choose, known as identifiers in Python, play a big role in how readable and maintainable our code becomes. … 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 >>
While working on a Python automation project that processed client reports from multiple states across the USA, I needed a way to stop my Python script safely when certain conditions were met. At first, I thought I could just use a simple break or return statement, but those only work inside loops or functions. I … Read more >>
Deep learning models can be powerful, but they are also notoriously hard to interpret as they train. Without proper monitoring, you may not realize that your model is stuck, overfitting, or wasting resources. Imagine training for hours only to find that the model never improved because of a bad learning rate. This is where TensorBoard … Read more >>
Over the past decade of working with Python, I’ve often needed to clean or preprocess text data. Whether it’s cleaning messy CSV files, preparing user input for machine learning, or formatting data for reports, removing unwanted characters from strings is something I do almost every week. In this tutorial, I’ll show you five practical methods … Read more >>
To convert a dict to a string in Python, use json.dumps(d) when the text will be stored, sent to an API or read by another program, and str(d) for a quick, Python-style text you only want to print or log. For a custom format such as key=value pairs, join the items yourself. This guide compares … Read more >>
Recently, while teaching Python to a group of data enthusiasts in New York, one of my students asked me how to find an Armstrong number using recursion in Python. At that moment, I realized that while many people know how to check an Armstrong number using loops, very few understand how to do it recursively, … Read more >>
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