# Let us start! First, let us print a welcome message.

print('Hello! Let us explore weather trends with Python!')

# Let us ask the user for their name.
user_name = input('What is your name? ')
print('Welcome,', user_name, '! Let us start learning.')

# Let us store some sample weather data.
weather = ['sunny', 'rainy', 'cloudy', 'sunny', 'snowy']
print('Weather data:', weather)

# To see just the first day, use an index.
first_day = weather[0]
print('The first day was', first_day)

# To add a new weather report, use append.
weather.append('windy')
print(weather)

# Let us count how many times it was sunny.
sunny_days = weather.count('sunny')
print('Number of sunny days:', sunny_days)

# Sometimes we make mistakes. Here is how to safely get an item.
try:
    print(weather[10])
except IndexError:
    print('That day does not exist!')
    

# What if you want to update a value?
weather[1] = 'foggy'
print(weather)

# To remove a weather type, use remove.
weather.remove('foggy')
print(weather)

# Built-in functions can help! Let us find unique weather days.
unique_weather = set(weather)
print('Unique types:', unique_weather)

# Time to loop through all weather days.
for day in weather:
    print('Weather that day was:', day)
    

# Create a new list based on a condition.
rainy_days = [w for w in weather if w == 'rainy']
print('Rainy days:', rainy_days)

# What about sorting the weather alphabetically?
sorted_weather = sorted(weather)
print(sorted_weather)

# Let us 'join' all weather descriptions into one string.
weather_string = ', '.join(weather)
print('All weather:', weather_string)

# Let us add some temperature data.
temps = [72, 68, 65, 70, 60]
for temp in temps:
    print('Recorded temp:', temp, 'degrees')
    

# What if you want to get only warm days?
warm_days = [t for t in temps if t >= 70]
print('Warm days:', warm_days)

# Combining weather and temperature for a dashboard.
for i in range(len(weather)):
    print('Day', i + 1, ':', weather[i], '-', temps[i], 'degrees')
    

# Real-world data: ask the user for a new day's weather and temperature.
new_weather = input('Type the weather for today: ')
new_temp = int(input('Temperature for today? '))
weather.append(new_weather)
temps.append(new_temp)
print('Updated lists:')
print(weather)
print(temps)

# Mini-project time! Let us show average temperature and most common weather.
avg_temp = sum(temps) / len(temps)
from collections import Counter
common_weather = Counter(weather).most_common(1)[0][0]
print('Average temp:', round(avg_temp, 1))
print('Most frequent weather:', common_weather)

# Mini-project part 2: Make a weather summary for each day.
for i, day in enumerate(weather):
    print(f'Day {i + 1}: {day} and {temps[i]} degrees.')
    

# Practice tip: Double-check your input types.
user_temp = input('Enter a number: ')
try:
    user_temp = int(user_temp)
    print('That is a valid number!')
except ValueError:
    print('That was not a valid number.')
    

# Common issue: data lengths must match.
if len(weather) != len(temps):
    print('Warning: Weather and temp data do not match!')
else:
    print('Data is lined up correctly!')
    

# Advanced tip: Use zip to pair up data.
for kind, temp in zip(weather, temps):
    print('Weather:', kind, '| Temp:', temp)
    

# Challenge: Make a daily summary using input.
summary = input('Describe your week in three words: ')
print('Your weather week:', summary)