Python Tutorial

Python Project: Calculator

A four-function calculator that parses an operator, guards divide-by-zero, and prints a clean result.

What you are building

You build a four-function calculator: add, subtract, multiply, divide. Each operation is its own function. Division checks the denominator before it runs. A short list of expressions is printed so you can see every path, including the error path.

Run the examples in the Python editor at /try. That page is a Python runner, not an HTML preview and not a C or C++ compiler. Numbers are hardcoded so Run prints immediately.

Skills used

  • def to name one function per operator
  • return so the caller decides how to print
  • if to block divide-by-zero
  • float values so 12 / 5 is not truncated
  • A dict that maps an operator string to a function

One function per operator

Keep the math in functions. The rest of the program only chooses which function to call. That split makes the zero check easy to find later.

Example

def add(a, b):
    return a + b

def subtract(a, b):
    return a - b

def multiply(a, b):
    return a * b

print(add(12, 5))
print(subtract(12, 5))
print(multiply(12, 5))

Each call returns a number. Nothing prints inside the function. That is deliberate. A calculator that returns values can also be tested, logged, or formatted by the caller.

Guard divide-by-zero

Python will raise ZeroDivisionError if you write 12 / 0. Catch the bad input before the division. Return a clear signal the printer can understand. Here that signal is None.

Example

def divide(a, b):
    if b == 0:
        return None
    return a / b

print(divide(12, 5))
print(divide(12, 0))
print(divide(9, 3))
ExpressionResult
12 + 517
12 - 57
12 * 560
12 / 52.4
12 / 0error, not a number

Check b == 0 before you divide. Do not wait for an exception in this project. A returnedNone is enough for a printed tool. Later chapters cover try / exceptif you want the other style.

Complete program

A list of triples holds left value, operator, right value. A dict maps each operator to a function. Unknown operators get their own message. Division by zero never crashes the run.

Example

def add(a, b):
    return a + b

def subtract(a, b):
    return a - b

def multiply(a, b):
    return a * b

def divide(a, b):
    if b == 0:
        return None
    return a / b

OPS = {'+': add, '-': subtract, '*': multiply, '/': divide}

expressions = [
    (12, '+', 5),
    (12, '-', 5),
    (12, '*', 5),
    (12, '/', 5),
    (12, '/', 0),
    (9, '/', 3),
    (4, '%', 2),
]

print("Calculator")
print("----------")
for left, op, right in expressions:
    fn = OPS.get(op)
    if fn is None:
        print(left, op, right, "-> unknown operator")
        continue
    result = fn(left, right)
    if result is None:
        print(left, op, right, "-> cannot divide by zero")
    elif isinstance(result, float) and not result.is_integer():
        print(left, op, right, "=", round(result, 4))
    else:
        print(left, op, right, "=", result)

OPS.get(op) returns None when the key is missing, so % is handled without a KeyError. Integer-looking floats print without a trailing .0 because the branch checks is_integer().

Common mistakes

  • Using // when you wanted ordinary division. 12 // 5 is 2. This project uses/ so 12 / 5 is 2.4.
  • Writing if b = 0. That is assignment. The test is ==.
  • Putting print inside every math function. Then you cannot reuse the same function to fill a table or a test.
  • Forgetting the unknown-operator path. A typo in the expression list then raises instead of reporting.
  • Mixing strings and numbers: add("12", 5) concatenates or crashes. Keep both sides asint or float.

How to extend / Practice tasks

Change the complete program. Keep the zero guard intact.

  1. Add a power function for ** and register it in OPS. Print2 ** 8 as a new row.
  2. Accept a leftover from integer division: add remainder(a, b) for %, still returning None when b is 0.
  3. Round every printed result to two decimal places, including whole numbers such as 17.00, so the column lines up like a receipt.

📘 Real-World Deep Dive

A calculator is the classic first project because it forces the two skills every program needs: parsing messy user input into numbers, and never letting a bad input (like divide-by-zero) crash the whole thing.

What to build

A REPL-style calculator that reads "3 + 4", validates the operator, handles division by zero, and loops until the user quits.

Real-Life Example

OPS = {
    "+": lambda a, b: a + b,
    "-": lambda a, b: a - b,
    "*": lambda a, b: a * b,
    "/": lambda a, b: a / b,
}

def calc(expr: str) -> str:
    try:
        a, op, b = expr.split()
        return str(OPS[op](float(a), float(b)))
    except ZeroDivisionError:
        return "error: divide by zero"
    except (ValueError, KeyError):
        return "error: type e.g.  3 + 4"

for line in ["3 + 4", "10 / 0", "6 * 7", "hi"]:
    print(f"{line:8} = {calc(line)}")

A dict of operators beats a long if/elif chain — adding "%" later is one line, not a new branch.

Expected Output

3 + 4    = 7.0
10 / 0   = error: divide by zero
6 * 7    = 42.0
hi       = error: type e.g.  3 + 4

Common mistakes

  • Using eval(expr) to "just evaluate it" is a security hole — a user can type __import__('os').system(...). Parse explicitly instead.
  • float("hi") raises ValueError; catch it so one typo doesn't end the session.
  • Comparing floats with == (e.g. 0.1 + 0.2 == 0.3) is False. Mention math.isclose when you extend this.

🚀 Performance & Best Practices

  • The dict-of-lambdas dispatch is O(1) and trivially extensible — the shape you'll reuse for command parsers and tiny interpreters.
  • Keep parsing (splitting the string) separate from computing (the math) so each can be tested on its own.
  • Wrap the loop's input() in a try/except for EOFError so Ctrl-D exits cleanly.

🧪 Try It Yourself

  1. Add % (modulo) and ** (power) — one line each in the OPS dict.
  2. Support decimals and negative numbers (-3 * 2) and add a test for each.
  3. Keep a running "answer" so the user can type ans + 5 to reuse the last result.

FAQ: Python Project: Calculator

Common questions about this page.

What is Python Project: Calculator?

Python Project: Calculator is a Python Projects lesson that explains python calculator project in Python. A four-function calculator that parses an operator, guards divide-by-zero, and prints a clean result. Copy the samples and run them in the Python editor. It is written for beginners who want a clear definition and working examples.

Should I run python calculator project examples locally for better learning?

Yes. Use the browser editor on StudyGrid for a quick check, then Download the example and run it on your computer. Local runs show real errors and the real toolchain, which is one of the fastest ways to learn python calculator project in this Python Projects Python lesson (Python Project: Calculator).

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