DEV Community: Bruce Silva

# Temperature and Steam Logging with Python and Arduino

Bruce Silva — Sat, 02 Aug 2025 15:59:43 +0000

You ever start a project just to “see if it works” and end up obsessed for a week straight? Yeah, that was me—trying to figure out how to track steam levels in a DIY sauna setup. Long story short: sensors, Python, Arduino… and a few too many cups of coffee.

So, what started as a random weekend idea turned into a legit little dashboard tracking temperature and steam over time. And let me tell you—it’s weirdly satisfying watching your data come to life in real time.

But first, let’s talk context.

Why I Even Tried This

Okay, so I was looking into wellness trends (don’t judge), and somehow I ended up reading about this thing called a

Yoni Steam Cleanse Chicago il. It’s this gentle herbal steam bath designed for self-care—and apparently it’s a big thing in holistic circles.

That got me thinking: what if you could log the steam and heat from one of these setups using something super basic like an Arduino? I mean, if you’re already into DIY and tinkering, why not track it?

Wait, So What Are We Actually Talking About?

Let’s break it down real quick. You don’t need to be an engineer, promise. These are the five key terms I kept running into:

DHT11 Sensor – For capturing temperature and humidity.
Arduino Uno – The brain of the operation.
Python – Where all the data goes to chill (or not chill, depending on your heat levels).
Serial Communication – Sounds fancy, but it’s just how Arduino talks to Python.
Matplotlib – For pretty little graphs that tell you what’s going on.

How to Build It (And Not Freak Out)

So here’s the super non-scientific way I did it:

Hook up the sensor to the Arduino — seriously, it’s like four wires.
Write a tiny Arduino sketch to send temp and humidity data via serial.
Use Python to read the data — I used pyserial and logged values every 2 seconds.
Visualize it with matplotlib — turns out graphs are the fun part, who knew?

import serial
import matplotlib.pyplot as plt
import time

ser = serial.Serial('COM3', 9600)  # Adjust to your port
temps, hums = [], []
times = []

start = time.time()
while time.time() - start < 60:  # log for 60 seconds
    line = ser.readline().decode('utf-8').strip()
    try:
        temp, hum = map(float, line.split(','))
        temps.append(temp)
        hums.append(hum)
        times.append(time.time() - start)
    except ValueError:
        continue

plt.plot(times, temps, label='Temp (°C)')
plt.plot(times, hums, label='Humidity (%)')
plt.xlabel('Time (s)')
plt.legend()
plt.show()

And the Steam Part?

Well, that’s where it got interesting. Once I had it running, I tried simulating steam conditions—like placing the sensor near a warm herbal setup (a mock version of a Yoni Steam Cleanse in Chicago session). The humidity spikes were actually super noticeable.

You’d think it wouldn’t work well in a humid environment, but hey, the data was solid. I even got a friend who recently tried a Chicago Yoni Steam Cleanse at an actual spa to compare notes—and our humidity curves? Not that different.

Wild, right?

So Why Bother?

You might be thinking: “Cool… but why would I do this?” Well:

🧪 It’s low-cost and weirdly fun
📊 Real-time feedback helps you see results instantly
🧠 You learn Python without the boring tutorials
🛠️ You build something that actually feels useful
🌿 And hey, if you're into wellness, it gives you a more technical lens

Final Thoughts

Look, I’m not saying everyone needs to become a sensor nerd. But if you’re the kind of person who likes mixing wellness with tech—even just for fun—this is one of those mini-projects that actually feels rewarding.

Give it a try this week—you’ll see. All it takes is a little curiosity, some wires, and the willingness to mess up a few times.

Let me know if you build something. I’d love to swap weird steam stories.

Programming a Booking Bot for Cleaning Services with Telegram and Python

Bruce Silva — Wed, 30 Jul 2025 19:45:09 +0000

Have you ever forgotten to book a cleaning service and found yourself frantically sweeping the floor before guests arrived? Yeah, I’ve been there. A few months ago, I was scrambling to get my apartment in shape, and that’s when I thought, “Why not automate this whole thing?” That’s how I ended up building a booking bot using Telegram and Python. And guess what? It’s easier than you’d think.

Why Automate Your Bookings?

So here’s the thing: booking systems take time. You’ve got calls, emails, back-and-forth messages… ugh. By using a Telegram bot, you can automate the entire process in one place. People love the convenience, and you’ll save hours each week. Plus, if you’re running a local service like Chicago House Cleaning, clients can book directly without ever leaving the app.

The Basics: What You Need

Before jumping into the how-to, let me run you through five simple concepts (but in plain English):

Telegram Bot API – This is the tool that lets you chat with users and receive their booking details.
Python – Your coding language of choice. It’s flexible and easy to learn.
Database – Where you’ll store your clients’ bookings.
Scheduler – A way to automatically remind customers about their appointments.
Payment Gateway – Optional, but nice if you want customers to pay up-front.

Now, you’re probably thinking, "Okay, but how does this actually work?" Let me break it down step-by-step.

How to Build Your Bot (Without Losing Your Mind)

Create your bot on Telegram: Go to BotFather (that’s literally the name), type /newbot, and follow the prompts. You’ll get a token—save it.
Set up your Python environment: Install python-telegram-bot with pip install. That library makes it super easy to talk to Telegram’s API.
Build the conversation flow: I used ConversationHandler to ask users for their name, date, and service type. Think: "What day works for you?" "Morning or afternoon?"

Python Code Example

from telegram import Update
from telegram.ext import ApplicationBuilder, CommandHandler, ConversationHandler, MessageHandler, filters, ContextTypes

NAME, DATE, SERVICE = range(3)

async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
    await update.message.reply_text("Welcome! What's your name?")
    return NAME

async def get_name(update: Update, context: ContextTypes.DEFAULT_TYPE):
    context.user_data['name'] = update.message.text
    await update.message.reply_text("Great! What date works for you?")
    return DATE

async def get_date(update: Update, context: ContextTypes.DEFAULT_TYPE):
    context.user_data['date'] = update.message.text
    await update.message.reply_text("What service do you need?")
    return SERVICE

async def get_service(update: Update, context: ContextTypes.DEFAULT_TYPE):
    context.user_data['service'] = update.message.text
    await update.message.reply_text(f"Thanks {context.user_data['name']}! Your booking for {context.user_data['service']} on {context.user_data['date']} is saved.")
    return ConversationHandler.END

async def cancel(update: Update, context: ContextTypes.DEFAULT_TYPE):
    await update.message.reply_text("Booking canceled.")
    return ConversationHandler.END

app = ApplicationBuilder().token("YOUR_TELEGRAM_BOT_TOKEN").build()

conv_handler = ConversationHandler(
    entry_points=[CommandHandler("start", start)],
    states={
        NAME: [MessageHandler(filters.TEXT & ~filters.COMMAND, get_name)],
        DATE: [MessageHandler(filters.TEXT & ~filters.COMMAND, get_date)],
        SERVICE: [MessageHandler(filters.TEXT & ~filters.COMMAND, get_service)],
    },
    fallbacks=[CommandHandler("cancel", cancel)],
)

app.add_handler(conv_handler)

print("Bot is running...")
app.run_polling()

Store data in a database: SQLite works great for small projects, but if you’re running a bigger service, use PostgreSQL.
Add reminders: With Python’s schedule library, you can ping customers a day before their appointment.

This might sound like a lot, but once you get through the first few steps, the rest just… clicks.

Real-World Example

I tested the bot with a small group of friends who run a House Cleaning Chicago Il business. They were manually juggling texts and emails before. After the bot? Customers booked straight through Telegram, they got reminders, and payments became seamless. My friends said they finally had time to breathe—no more chaos.

Why This Matters for You

Here’s what happens when you automate your booking process:

You spend way less time answering repetitive questions.
Clients can book 24/7, even when you’re asleep.
You cut down on no-shows with automatic reminders.
Your service feels more professional (and yeah, customers notice).

I mean, I didn’t expect it to make such a difference, but it really did.

Tools and Resources You’ll Want

Python 3 (obvious but important)
python-telegram-bot library
SQLite or PostgreSQL
Optional: Stripe or PayPal API for payments

You don’t need to be a tech wizard. If you can follow instructions, you’ll get it working.

Wrap It Up

Look, whether you’re running a local House Cleaning In Chicago service or any small business, a booking bot will save you time and sanity. Give it a try this week—you’ll see! And hey, once you get the hang of it, you might even start wondering what else you could automate.