If you are a beginner and want to learn Python then check out our Python programming tutorials. These tutorials will helps you to improving you Python basic programming skills that will help to learn other libraries in Python.
I’ve frequently encountered the challenge of detecting NaN (Not a Number) values in datasets. NaN values often appear in data science, machine learning, and data processing tasks, especially when working with real-world data that can be messy or incomplete. Identifying NaN values correctly in Python is crucial because they can silently break your calculations or … Read more >>
In my years working as a Python Keras developer, I’ve often needed to check if a variable is defined before using it. This simple check helps avoid runtime errors and makes your code more resilient. In this article, I’ll walk you through practical methods to check if a variable is defined in Python. Each method … Read more >>
I remember debugging a data pipeline for a large logistics company. The system was crashing randomly, throwing type errors that made no sense at first glance. After hours of digging, I realized the issue wasn’t the logic; it was the data types. Some legacy sensors were sending raw binary data (bytes), while newer APIs were … Read more >>
To check if a string is empty in Python, use if not s:. An empty string “” is “falsy”, so not s is True only when the string has no characters. If a string with only spaces should also count as empty, use if not s.strip():. This guide compares every way to check, and covers … Read more >>
To check if a variable is empty in Python, use if not x:. It is True for None, “”, [], {}, set(), (), 0, 0.0 and False. To check for “no value” (what other languages call null), use if x is None:, which is True only for None. Which one you need depends on whether … Read more >>
I still remember the panic I felt during a database migration for a large US healthcare provider when a “Zip Code” column caused the entire pipeline to crash. It was a rookie mistake that taught me a valuable lesson about Python’s dynamic typing system: never assume your data is what you think it is. I … Read more >>
I still remember the first time I spent three hours debugging a production script, only to realize a logical flag I thought was a True boolean was actually the string “True”. It’s a classic mistake that even seasoned developers make, especially when dealing with data coming from APIs or user inputs. Python is dynamically typed, … Read more >>
In this tutorial, I will show you how to add two variables in Python. Adding variables is perhaps the most fundamental operation I perform in my daily coding routine. Whether I am calculating financial data or merging user lists, understanding how Python handles addition is critical. I have spent over a decade building software, and … Read more >>
Working on a data validation project for a U.S.-based retail analytics company, I had to ensure that every input value in a Python script was a valid number before performing calculations. At first, it seemed like a simple task, just check if a variable is numeric. But as I dug deeper, I realized there are … Read more >>
While reviewing a large Python project for one of my clients in the USA, I encountered a tricky issue: a variable was being used before it was defined. This caused a NameError and broke the entire script. As a Python developer, I’ve learned that checking whether a variable exists before using it can save you … Read more >>
Free PDF · 112 pages
Tell me where to send it and the free 112-page PDF is on its way.
Your free 51 Python Programs PDF is on its way to . Can't find it in a few minutes? Look in your Promotions or Spam folder.