Using Python to Plan a Perfect Wedding

Can you imagine planning a wedding using Python? Don’t laugh, this is not a joke! Last month, my fiancée and I were caught up in the whirlwind of wedding preparations. Budget control, guest lists, seating arrangements… these trivial matters almost drove us crazy. Until one day, I had a brilliant idea: since Python can help me handle various data at work, why not use it to manage the wedding?

Budget Management: Don’t Let Your Wallet Bleed

The wedding budget is like a leaking bucket; you have to keep an eye on it. I wrote a simple budget tracker in Python:

wedding_budget = {
    'Venue': 20000,
    'Catering': 30000,
    'Photography': 8000,
    'Decoration': 5000,
    'Others': 7000
}

total_budget = sum(wedding_budget.values())
print(f"Total Budget: {total_budget} yuan")

for item, cost in wedding_budget.items():
    percentage = (cost / total_budget) * 100
    print(f"{item}: {cost} yuan ({percentage:.2f}%)")

This code helped me clearly see the proportion of each expense relative to the total budget. After running it, I realized that catering took up such a big chunk! It looks like I need to negotiate with the restaurant about the price.

Tip: Remember to frequently update the actual costs to keep the budget current. You don’t want to find out on the wedding day that your wallet is already empty, do you?

Guest List: Who’s Coming and Who’s Not, Clearly Visible

Managing the guest list is a big project. I used Python’s set feature to manage it:

bride_guests = set(['Zhang San', 'Li Si', 'Wang Wu'])
groom_guests = set(['Zhao Liu', 'Qian Qi', 'Wang Wu'])

all_guests = bride_guests.union(groom_guests)
print(f"Total invited guests: {len(all_guests)} people")

common_guests = bride_guests.intersection(groom_guests)
print(f"Common friends of the bride and groom: {common_guests}")

Now, the awkwardness of double invitations is gone, and I can see our mutual friends. Who says programmers don’t understand human relationships?

Seating Arrangement: Making Everyone Feel at Home

The seating arrangement is an art; if done poorly, it could lead to a social disaster. I used Python’s random module to help:

import random

guests = ['Zhang San', 'Li Si', 'Wang Wu', 'Zhao Liu', 'Qian Qi', 'Sun Ba', 'Zhou Jiu', 'Wu Shi']
tables = 2
seats_per_table = 4

random.shuffle(guests)
seating = [guests[i:i + seats_per_table] for i in range(0, len(guests), seats_per_table)]

for i, table in enumerate(seating, 1):
    print(f"Table {i}: {', '.join(table)}")

Every time I run this, I get a new random seating arrangement. Now I don’t have to worry about who doesn’t get along; just say it was the computer’s arrangement!

Tip: If there are special requests (like needing to separate two specific people), you can make adjustments before shuffling.

Wedding Schedule: Minute-by-Minute Control

The schedule for the wedding day is crucial. I used Python’s datetime module to plan it:

from datetime import datetime, timedelta

start_time = datetime(2023, 9, 9, 10, 0)  # September 9, 2023, 10:00 AM

schedule = [
    ("Bride's Makeup", timedelta(hours=2)),
    ("Picking Up the Bride", timedelta(hours=1)),
    ("Wedding Ceremony", timedelta(minutes=30)),
    ("Group Photo", timedelta(minutes=30)),
    ("Lunch Banquet", timedelta(hours=2)),
    ("Sending Guests Off", timedelta(hours=1))
]

current_time = start_time
for event, duration in schedule:
    print(f"{current_time.strftime('%H:%M')} - {event}")
    current_time += duration

print(f"Estimated End Time: {current_time.strftime('%H:%M')}")

Now, from the bride’s makeup to sending guests off, every part is clearly arranged. If someone asks, “Why hasn’t it started yet?” I can just show them this schedule!

You see, Python is not just for handling tedious data; it can also make our major life events organized. During the wedding preparation process, I not only saved a lot of time and effort but also gained a sense of achievement. In the future, I plan to use Python to manage family finances, plan trips, and even… hey, when we have kids, I might use Python to schedule diaper changes!

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