{}
See how a CS professor is using our compiler for class assignment.
Try Programiz PRO for Educators!
Learn DSA with step-by-step code visualization.
Try Programiz PRO for Educators!
run-icon
main.py
# Online Python compiler (interpreter) to run Python online. # Write Python 3 code in this online editor and run it. # -*- coding: utf-8 -*- import math from statistics import mean, median, mode, variance, stdev from collections import Counter ### Level 1: Basic Functions def add_two_numbers(a, b): return a + b def area_of_circle(r): return math.pi * r * r def add_all_nums(*args): if not all(isinstance(i, (int, float)) for i in args): return "Error: all arguments must be numbers" return sum(args) def convert_celsius_to_fahrenheit(c): return (c * 9/5) + 32 def check_season(month): m = month.strip().lower() if m in ('september', 'october', 'november'): return 'Autumn' elif m in ('december', 'january', 'february'): return 'Winter' elif m in ('march', 'april', 'may'): return 'Spring' elif m in ('june', 'july', 'august'): return 'Summer' return 'Invalid month' def calculate_slope(x1, y1, x2, y2): if x2 == x1: return float('inf') return (y2 - y1) / (x2 - x1) def solve_quadratic_eqn(a, b, c): d = b**2 - 4*a*c if d < 0: return [] root1 = (-b + math.sqrt(d)) / (2*a) root2 = (-b - math.sqrt(d)) / (2*a) return [root1] if d == 0 else [root1, root2] def print_list(lst): for el in lst: print(el) def reverse_list(lst): rev = [] for i in range(len(lst)-1, -1, -1): rev.append(lst[i]) return rev def capitalize_list_items(lst): return [str(item).capitalize() for item in lst] def add_item(lst, item): lst.append(item) return lst def remove_item(lst, item): if item in lst: lst.remove(item) return lst def sum_of_numbers(n): return sum(range(n + 1)) def sum_of_odds(n): return sum(i for i in range(n + 1) if i % 2) def sum_of_even(n): return sum(i for i in range(n + 1) if i % 2 == 0) ### Level 2: Intermediate Functions def evens_and_odds(n): evens = len([i for i in range(n + 1) if i % 2 == 0]) odds = (n + 1) - evens print(f"The number of odds are {odds}.") print(f"The number of evens are {evens}.") def factorial(n): if n < 0: raise ValueError("n must be >= 0") return 1 if n < 2 else n * factorial(n - 1) def is_empty(x): return not bool(x) def calculate_mean(lst): return mean(lst) def calculate_median(lst): return median(lst) def calculate_mode(lst): try: return mode(lst) except: return "No unique mode" def calculate_range(lst): return max(lst) - min(lst) def calculate_variance(lst): return variance(lst) def calculate_std(lst): return stdev(lst) ### Level 3: Advanced Functions def is_prime(n): if n < 2: return False for i in range(2, int(math.sqrt(n)) + 1): if n % i == 0: return False return True def all_unique(lst): return len(lst) == len(set(lst)) def same_data_type(lst): return all(isinstance(x, type(lst[0])) for x in lst) def is_valid_variable(name): return name.isidentifier() # Country data exercises # Usage: need countries_data.py with a list named 'countries_data' try: from countries_data import countries_data def most_spoken_languages(n=10): counts = Counter(lang for c in countries_data for lang in c.get('languages', [])) return [lang for lang, _ in counts.most_common(n)] def most_populated_countries(n=10): sorted_c = sorted(countries_data, key=lambda x: x.get('population', 0), reverse=True) return [ {'country': c['name'], 'population': c['population']} for c in sorted_c[:n] ] except ImportError: countries_data = [] def most_spoken_languages(n=10): raise ImportError("countries_data.py not found") def most_populated_countries(n=10): raise ImportError("countries_data.py not found") ### --> Example usage below this line if __name__ == "__main__": # Quick tests print("add_two_numbers:", add_two_numbers(3, 4)) print("area_of_circle:", round(area_of_circle(2), 2)) print("add_all_nums:", add_all_nums(1, 2, 3.5)) print("C→F:", convert_celsius_to_fahrenheit(0)) print("Season for 'July':", check_season("July")) print("Slope:", calculate_slope(2, 3, 5, 11)) print("Quadratic roots of x²−5x+6:", solve_quadratic_eqn(1, -5, 6)) print("Reverse:", reverse_list([1, 2, 3, 4, 5])) evens_and_odds(100) nums = [1, 2, 2, 3, 4, 4, 4] print("Mean/Median/Mode/Range:", calculate_mean(nums), calculate_median(nums), calculate_mode(nums), calculate_range(nums)) print("Is prime 29:", is_prime(29))
Output