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Interview Questions, Answers and Tutorials

Category: 9. Advanced Topics

Exception Handling: Making Your Code Error-Proof!

9. Advanced Topicstestinganswers.com
Imagine you’re playing a video game and suddenly hit a wall because you made the wrong move. The game doesn’t crash—it shows a message like, “Oops, wrong way!” and lets you try again. That’s what exception handling does in Python! It helps your program deal with unexpected situations without crashing. Let’s dive in and learn how to handle these “oops moments” in Python! 🛑 What are Exceptions? An exception is like an error that stops your program when something unexpected happens. For example: 🛠️ How Do We Handle Exceptions? Python gives us a magic tool called try and except. Here’s…

Generators

9. Advanced Topicstestinganswers.com
What are Generators? Imagine you have a magic box that gives you one candy at a time whenever you ask for it, instead of giving you all the candies at once. This way, you don’t have to carry all the candies with you and can enjoy them one by one. In Python, this magic box is called a generator. Generators are special functions that allow you to create an iterator. An iterator is something you can loop through (like a list), but instead of generating all the items at once, it generates them one at a time. Why Use Generators?…

Decorators

9. Advanced Topicstestinganswers.com
What are Decorators? Imagine you have a sandwich. Sometimes, you want to add extra cheese or sauce to make it tastier. Decorators in Python are like those extra toppings you add to your sandwich. They are special tools that let you add extra features to your functions without changing the function itself. Why Use Decorators? Decorators help us: How Do Decorators Work? Let’s start with a simple example. Imagine we have a function that says hello: Now, what if we want to add some excitement to our greeting? We can use a decorator for that. Creating a Simple Decorator A…