Python Practice Questions: 30 Exercises with Answers

print("Hello, Excel Keys!")

Output

Hello, Excel Keys!

name = "Keyboard"
price = 1200
print(f"{name} costs {price}")

Output

Keyboard costs 1200

qty = 3
rate = 45
subtotal = qty * rate
total = round(subtotal * 1.18, 2)
print("Subtotal:", subtotal)
print("Total with tax:", total)

Output

Subtotal: 135
Total with tax: 159.3

sales = 82000
target = 75000
if sales >= target:
    print("Target met")
else:
    print("Target missed")

Output

Target met

score = 67
if score >= 80:
    grade = "A"
elif score >= 60:
    grade = "B"
else:
    grade = "C"
print("Grade:", grade)

Output

Grade: B

sales = [120, 95, 140, 110]
print("Highest:", max(sales))
print("Lowest:", min(sales))
print("Average:", sum(sales) / len(sales))

Output

Highest: 140
Lowest: 95
Average: 116.25

raw = "  asha VERMA "
clean = raw.strip().title()
print(clean)

Output

Asha Verma

for i in range(1, 6):
    print(f"7 x {i} = {7 * i}")

Output

7 x 1 = 7
7 x 2 = 14
7 x 3 = 21
7 x 4 = 28
7 x 5 = 35

tasks = ["Download data", "Clean columns", "Build pivot"]
for i, task in enumerate(tasks, start=1):
    print(f"{i}. {task}")

Output

1. Download data
2. Clean columns
3. Build pivot

line = "Asha,Delhi,52000"
name, city, salary = line.split(",")
print("Name:", name)
print("City:", city)
print("Salary:", int(salary))

Output

Name: Asha
City: Delhi
Salary: 52000

def percent(part, whole):
    return round(part / whole * 100, 1)

print(percent(45, 60))

Output

75.0

sales = {"North": 520, "South": 430, "West": 610}
for region, value in sales.items():
    print(f"{region}: {value}")

Output

North: 520
South: 430
West: 610

sales = {"North": 520, "South": 430, "West": 610}
best = max(sales, key=sales.get)
print(best, sales[best])

Output

West 610

statuses = ["paid", "pending", "paid", "cancelled", "paid"]
counts = {}
for s in statuses:
    counts[s] = counts.get(s, 0) + 1
print(counts)

Output

{'paid': 3, 'pending': 1, 'cancelled': 1}

squares = [n * n for n in range(1, 7)]
print(squares)

Output

[1, 4, 9, 16, 25, 36]

orders = [1200, 450, 3100, 980, 2600]
big = [x for x in orders if x > 1000]
print(big)

Output

[1200, 3100, 2600]

employees = [("Tara", 90000), ("Om", 70000), ("Ira", 80000), ("Dev", 60000)]
for name, salary in sorted(employees, key=lambda e: e[1], reverse=True):
    print(name, salary)

Output

Tara 90000
Ira 80000
Om 70000
Dev 60000

months = ["Jan", "Feb", "Mar"]
sales = [120, 95, 140]
for m, s in zip(months, sales):
    print(m, s)

Output

Jan 120
Feb 95
Mar 140

jan = {"Asha", "Ravi", "Neha", "Kabir"}
feb = {"Ravi", "Meera", "Neha"}
print(sorted(jan & feb))

Output

['Neha', 'Ravi']

values = ["120", "abc", "75"]
numbers = []
for v in values:
    try:
        numbers.append(int(v))
    except ValueError:
        print("Skipped:", v)
print(numbers)

Output

Skipped: abc
[120, 75]

class Employee:
    def __init__(self, name, salary):
        self.name = name
        self.salary = salary

    def with_raise(self, pct=10):
        return round(self.salary * (1 + pct / 100))

emp = Employee("Ira", 80000)
print(emp.name, emp.with_raise())

Output

Ira 88000

from collections import Counter

text = "data beats opinion and clean data beats messy data"
counts = Counter(text.split())
print(counts.most_common(2))

Output

[('data', 3), ('beats', 2)]

from collections import defaultdict

orders = [("North", 200), ("South", 150), ("North", 300), ("West", 120), ("South", 80)]
totals = defaultdict(int)
for region, amount in orders:
    totals[region] += amount
print(dict(totals))

Output

{'North': 500, 'South': 230, 'West': 120}

from datetime import date

start = date(2026, 1, 15)
end = date(2026, 3, 1)
print((end - start).days)

Output

45

import json

report = {"month": "Jan", "sales": 520, "regions": ["North", "West"]}
text = json.dumps(report)
print(text)
back = json.loads(text)
print(back["regions"][1])

Output

{"month": "Jan", "sales": 520, "regions": ["North", "West"]}
West

def running_total(values):
    total = 0
    for v in values:
        total += v
        yield total

print(list(running_total([100, 250, 75, 300])))

Output

[100, 350, 425, 725]

import re

text = "Contact asha@example.com or sales@example.org for the report."
emails = re.findall(r"[\w.]+@[\w.]+\.\w+", text)
print(emails)

Output

['asha@example.com', 'sales@example.org']

from dataclasses import dataclass

@dataclass
class Product:
    name: str
    price: float
    qty: int

stock = [Product("Keyboard", 1200, 4), Product("Mouse", 600, 10), Product("Notebook", 100, 25)]
value = sum(p.price * p.qty for p in stock)
print(f"Total stock value: {value}")

Output

Total stock value: 13300

def factorial(n):
    if n <= 1:
        return 1
    return n * factorial(n - 1)

print(factorial(6))

Output

720

def log_call(func):
    def wrapper(*args):
        print("Running", func.__name__)
        return func(*args)
    return wrapper

@log_call
def add_tax(amount):
    return round(amount * 1.18, 2)

print(add_tax(500))

Output

Running add_tax
590.0