Introduction to Python Programming and Errors

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From the Computer Science & Coding (ICT) curriculum

Introduction to Python Programming and Errors

TL;DR

Python is a popular, easy-to-read programming language that helps computers follow instructions. When your code doesn't work as expected, it's usually due to common errors like syntax issues, incorrect data types, or logic problems. Learning to identify and fix these errors is a crucial part of becoming a good programmer.

1. The Mental Model

Think of Python as a set of instructions you give to a very literal but fast assistant. You need to speak its language precisely, or it won't understand what you want, or it'll do something unexpected.

2. The Core Material

Python is a versatile programming language known for its readability and simplicity. You'll use it to write programs, which are essentially lists of instructions for your computer to execute.

How Python Runs Your Code

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When you write Python code, you're creating a .py file. This file then goes through a special program called an interpreter. The interpreter reads your code line by line, translates it into something the computer understands, and then tells the computer to do it.

graph TD
    A["You Write Code (e.g., my_program.py)"] --> B["Python Interpreter Reads Code"]
    B --> C{"Is the Code Valid Python?"}
    C -->|Yes| D["Computer Executes Instructions"]
    C -->|No| E["Error Message Displayed"]

Common Types of Errors

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Errors are a normal part of programming; everyone makes them! They're not failures, but rather clues telling you something needs fixing. There are three main types you'll encounter:

Syntax Errors

These are like grammatical mistakes in human language. Python can't even begin to understand your instruction if it's not written correctly. The interpreter stops immediately when it hits a syntax error.

Example: Forgetting a colon or a parenthesis.

# Incorrect syntax: missing colon after 'if'
if True
    print("This won't work")

When you run this, Python will give you a SyntaxError.

Runtime Errors (Exceptions)

Your code might be grammatically correct (no syntax errors), but when Python tries to do what you've asked, something goes wrong during execution. These are called exceptions.

Example: Trying to divide by zero or access a part of a list that doesn't exist.

# Runtime error: division by zero
result = 10 / 0
print(result)

This will produce a ZeroDivisionError.

# Runtime error: accessing an invalid index
my_list = [1, 2, 3]
print(my_list[5]) # There's no item at index 5

This will produce an IndexError.

Logic Errors

This is the trickiest type because Python won't complain at all. Your code runs perfectly fine, but it doesn't do what you intended it to do. The output is wrong, but there's no error message.

Example: Calculating an average incorrectly.

# Logic error: doesn't correctly calculate the average
num1 = 10
num2 = 20
average = num1 + num2 / 2 # Incorrect order of operations
print(f"The average is: {average}") # Output: 20.0, but should be 15.0

Python happily performs the division first, then the addition. You need parentheses to fix this: (num1 + num2) / 2.

3. Worked Example

Let's say you want to write a simple Python program to ask a user for their name and age, then print a greeting.

Initial Attempt (with errors):

name = input("What's your name? ")
age = input("How old are you? ")
print("Hello, " + name + "! You'll be " + age + 1 + " next year.")

Running this code and fixing errors:

  1. When you run this, you'll get a TypeError: can only concatenate str (not "int") to str.

    • Diagnosis: The error message points to the age + 1 part. You asked for age using input(), which always returns text (a "string"). You're trying to add the number 1 to text, which Python doesn't know how to do.
    • Fix: You need to convert age to an integer (a whole number) before you can do math with it.
  2. Corrected Code:
    python name = input("What's your name? ") age = int(input("How old are you? ")) # Convert age to an integer here print("Hello, " + name + "! You'll be " + str(age + 1) + " next year.") # Convert age+1 back to string for printing

  3. Running the corrected code:

    • Input: What's your name? Alice
    • Input: How old are you? 25
    • Output: Hello, Alice! You'll be 26 next year.

This version now works correctly because we handled the data type mismatch.

4. Key Takeaways

  • Python uses an interpreter to run your code line by line.
  • Syntax errors mean your code isn't grammatically correct; Python stops immediately.
  • Runtime errors (exceptions) happen during execution, even if the syntax is correct, like dividing by zero.
  • Logic errors mean your code runs without errors but produces the wrong result, requiring careful thought to debug.
  • input() always gives you text (strings); convert it to numbers (integers or floats) if you want to do math.
  • Error messages are your friends; read them carefully as they point you towards the problem.

Common Mistakes to Avoid

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  • Forgetting colons : after if, for, def, etc.
  • Misspelling variable names (e.g., print(my_list) instead of print(my_list)). Python thinks my_list and my_list are different.
  • Trying to do math operations on strings without converting them to numbers first.
  • Not paying attention to indentation, which is crucial in Python to define blocks of code.

5. Now Try It

Write a Python program that asks the user for two numbers, adds them together, and then prints the sum. Introduce a ValueError on purpose by entering text when prompted for a number, observe the error, and then fix your program so it only prints the sum if valid numbers are entered.

Frequently asked about Introduction to Python Programming and Errors

Python is a popular, easy-to-read programming language that helps computers follow instructions. When your code doesn't work as expected, it's usually due to common errors like syntax issues, incorrect data types, or logic problems. Read the full notes above for the details.

Introduction to Python Programming and Errors is a core topic in Computer Science & Coding (ICT). Most exam papers test it via a mix of definitions, worked examples, and applied problems. The notes above cover the high-yield sub-topics, common pitfalls, and the kind of questions examiners typically set.

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