Tracking caffeine intake with Python can be a fun and practical project! Here’s how you could build a simple Python script to track your caffeine consumption. You can log caffeine intake, calculate total daily consumption, and even check if you’re exceeding recommended limits.
Step 1: Setting Up the Basic Structure
First, you’ll want to create a basic structure for the script. You can define caffeine items, record their amount, and save the data.
Step 2: Data Input and Tracking
Create a dictionary for common caffeinated drinks and their caffeine content. Let users input their caffeine intake throughout the day and track it.
Here’s an example code:
Step 3: How It Works
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Caffeine Content Dictionary: We define the caffeine content for various drinks.
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Adding Caffeine Intake: The user enters the drink and the number of servings they had. The script calculates the total caffeine intake based on predefined values.
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Tracking Total Intake: The user can keep entering their caffeine intake, and the script will accumulate the total.
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Check Against Limits: Once the user finishes logging, the script compares their total intake with the recommended daily limit of 400 mg (a common guideline).
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Interaction: The user is prompted after each entry to either continue logging or stop.
Step 4: Running the Script
To run the script:
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Save the script to a Python file (e.g.,
caffeine_tracker.py
). -
Open a terminal or command prompt, navigate to the folder where the script is saved, and run:
Step 5: Customization
You can easily customize this script by:
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Adding more drinks to the
caffeine_content
dictionary. -
Modifying the recommended daily limit.
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Changing the way caffeine is calculated (e.g., different sizes for drinks).
This basic caffeine tracker can be expanded into a full-fledged application or even connected to a database to track consumption over days or weeks.
Let me know if you’d like to add more features!
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