Debugging your code can be slow and frustrating to begin with but it’s very satisfying when you work out how to fix something for yourself.
There are three types of errors you’ll come across with your code: Syntax errors, run time errors and logical errors.
Syntax errors happen when you break the rules of the language like accidentally missing out a
). Syntax errors stop your code from running at all.
Runtime errors happen when your code tries to do something that’s impossible like trying to convert the text
"potato"into an integer number data type. Runtime errors make your program crash whilst it’s trying to do the thing that’s impossible.
Logical errors happen when your code does what you told it to do, but not what you wanted it to do, like adding two numbers instead of subtracting them. Logical errors might not crash your program but will cause it to do the wrong thing.
The easiest of the three types of errors to find are syntax errors because you get an error message appearing as soon as you try to run your code.
Finding and fixing runtime errors is easier than debugging logical errors because you will at least get an error message that usually tells you which line of code that is broken.
However, sometimes you need to test your code thoroughly with a wide range of input data in order to detect the runtime error.
For example: When you’re testing a program that asks you to type in a number, you don’t just test it by typing in a sensible number but you see what happens if you put numbers in that are deliberately too small, too big or not even numbers at all.
Once you’ve found the line of code that causes the runtime error, you can surround that line with
except: in order to tell python how to react to the error without crashing.
If you see
try: in some python code, it means that a runtime error could potentially rear it’s ugly head in the code that’s indented under that line, but python will attempt to run it anyway.
If it all goes wrong, python will skip to the line that says
except: and run the code indented under that line instead of crashing.
The aim is to be able to write a program that runs without ever crashing, even if the user running the code is an elite hacker trying to break it, or a newbie technophobe who doesn’t really know what they’re doing.
Code that can cope with anything without crashing is called robust code.
On the next page you’ll get some code examples that you can try out for yourself.
Page 1: Intro
Page 2: The theory: learn what you need to know as fast as possible.
Page 3: Try it: try out and adapt some working python code snippets.
Page 4: Debug it: Learn how to find and fix common mistakes.
Page 5: Extend it: Choose a project idea to use your newfound python skills.