Welcome to the "Error Handling and Debugging" chapter! As you embark on your Python journey, you'll inevitably encounter errors. Think of them not as roadblocks, but as helpful signposts pointing you towards what needs fixing. Understanding the different types of errors you'll see is the first crucial step in becoming a proficient Python programmer. Let's dive into the most common ones you'll run into.
- Syntax Errors: These are like grammatical mistakes in your code. Python can't even understand what you're trying to tell it to do. The interpreter catches these before your program even starts running. You'll often see them indicated by an arrow pointing to the problematic part of the line.
print('Hello, world!)The missing closing quote in the print statement above will cause a SyntaxError.
- Runtime Errors (Exceptions): These errors occur when your code is syntactically correct, but something goes wrong during execution. Python's interpreter can understand your code, but the operations themselves lead to an unexpected situation. These are also known as exceptions.
Let's break down some common exception types:
a. NameError: You're trying to use a variable or function that hasn't been defined yet. Python doesn't know what you're referring to.
print(my_undefined_variable)b. TypeError: You're performing an operation on a value of an inappropriate type. For example, trying to add a string to an integer.
result = 5 + "hello"c. ValueError: A function receives an argument that has the right type but an inappropriate value. For instance, trying to convert a string that doesn't represent a number into an integer.