How I Use Python to Automate My Entire Day — Hour by Hour

Let Python run your day, so you don’t have to!

How I Use Python to Automate My Entire Day — Hour by Hour

Imagine waking up to freshly brewed coffee, emails already sorted, news summarized, meetings scheduled, and your to-do list prioritized — all before you even leave bed.

That’s not sci-fi. That’s Python.

Over the last couple of years, I’ve built a personal automation system with Python that runs like clockwork. It doesn’t just save me hours every day — it also clears mental space so I can focus on deep work and creativity. In this post, I’ll walk you through how I use Python to automate my entire day, hour by hour.

7:00 AM — Wake Up & Get Updated

Tasks automated: Weather, calendar summary, email digest, top news.

Every morning, a Python script sends me a “morning digest” on Telegram.

schedule.every().day.at("07:00").do(send_morning_digest)

The digest includes:

• Weather forecast (via OpenWeatherMap API)
• Today’s calendar events (via Google Calendar API)
• Unread important emails (sorted using Gmail + a basic NLP filter)
• Top 5 tech news headlines (scraped via RSS feeds or News API)

Result: I’m informed and ready — no doomscrolling required.

8:00 AM — Coffee & To-Do List

Tasks automated: Prioritizing tasks using the Eisenhower Matrix.

My tasks live in Notion. Every morning, Python pulls them via the Notion API and uses a basic priority algorithm:

def prioritize(task): 
    # Simple decision matrix 
    if task.urgent and task.important: 
        return "Do Now" 
    elif task.important: 
        return "Schedule" 
    elif task.urgent: 
        return "Delegate" 
    else: 
        return "Eliminate"

It sorts and pushes the list back to Notion. My top priorities are waiting for me before I sip my first coffee.

9:00 AM — Start Work: Deep Focus Mode

Tasks automated: Blocking distractions, launching work session.

When I enter “Work Mode” (triggered manually or scheduled), Python uses:

• pyautogui to close distracting apps like Slack and Twitter.
• focus.py script to update my status on Slack via API.
• Starts a 90-minute Pomodoro session with sound notifications.

Optional bonus: Lights dim using Philips Hue API and lofi music starts on Spotify using spotipy.

11:00 AM — Break & Learn Something

Tasks automated: Queue up personalized learning content.

Python pulls from my curated list of tech blogs, newsletters, and saved YouTube videos. It recommends one 10-minute read or video based on my interests (tagged in Notion) and time availability.

I get a ping on Telegram:
“Learn Break: ‘How Netflix Handles Microservices Failures’ — 8 min read”

Way better than scrolling Reddit.

12:00 PM — Lunch & Chores

Tasks automated: Meal suggestion + smart home controls.

Python checks what’s in my smart fridge (or rather, the Google Sheet I maintain), finds recipe suggestions via the Spoonacular API, and sends me an idea for lunch.

Bonus: My robot vacuum starts at noon, thanks to a scheduled subprocess.call() of the device’s API.

3:00 PM — Afternoon Emails & Catch-Up

Tasks automated: Email filtering, response drafting.

I use Python to:

• Scan inbox for emails needing replies.
• Generate draft responses using GPT-based API prompts.
• Categorize newsletters for later reading.

I quickly review and hit “Send.” It cuts my email time by 70%.

5:00 PM — Wrap-Up & Day Summary

Tasks automated: Daily review generation.

At 5 PM, Python pulls data from:

• Google Calendar (meetings attended)
• Notion (tasks completed)
• Time tracker (how time was spent)

It creates a short summary and logs it in a “Daily Journal” page in Notion.

7:00 PM — Relax, Read, Reflect

Tasks automated: Kindle highlights sync + journaling reminders.

My Kindle highlights sync to Notion automatically using kindle-to-notion. Then, a Python bot reminds me to write down 3 reflections and 1 thing I learned today.

Simple habit, automated for consistency.

10:00 PM — Power Down

Tasks automated: Screens off, reminders to wind down.

At 10 PM:

• All screens go into Night Mode (via pyautogui)
• Spotify plays a wind-down playlist
• Telegram bot says, “Time to unplug”

I shut off, just like my scripts.

Final Thoughts

This isn’t about being hyper-productive 24/7. It’s about reclaiming time and energy from digital noise and repetitive decisions. Python became my personal assistant, therapist, secretary, and butler — all rolled into one.

You don’t need a PhD or a fancy tech stack to start automating your life. Just some curiosity, a little code, and the willingness to experiment.

And honestly? It’s kind of fun watching your life run on scripts.

Curious about any of the scripts or tools I mentioned? Drop a comment — I’m happy to share snippets and help you build your own automation flow!