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DEMONSTRATION OF OUR SCRIPT : RECOMPUTE

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This Python script is designed to estimate the value of an HP machine based on various factors such as its weight, year of manufacture, grade (condition), and whether it has working problems. Additionally, it calculates the potential CO2 reduction if the machine is sold, which helps estimate its environmental impact. Key Components: GRADE_MULTIPLIERS Dictionary: The GRADE_MULTIPLIERS dictionary assigns a numerical value to the condition (grade) of the machine, where ‘A’ represents the best condition (with a multiplier of 1.0), ‘B’ a lower quality (0.7), and ‘C’ the lowest (0.4). This helps adjust the final value based on the machine's condition. Year Multiplier: The year_multiplier function adjusts the value based on the machine’s age. The newer the machine, the higher the multiplier (e.g., a machine less than 5 years old gets a multiplier of 1.0, while a 15-20 year-old machine gets 0.4). This reflects how older machines lose value over time. Weight Base Price: The weight_base_price function provides a base price depending on the weight of the machine. For instance, lighter machines (< 1kg) have a base value of $100, while heavier ones (> 5kg) are valued at $500. This helps assign an initial price before considering other factors like age and grade. Working Condition: If the machine has any working problems, the user is asked to input "yes" or "no." If problems are present, a problem_multiplier of 0.7 is applied, reducing the machine's value by 30%. Otherwise, it keeps the value unchanged. CO2 Reduction: The calculate_co2_reduction function estimates how much CO2 could be saved by selling the machine instead of disposing of it. The script assumes a CO2 reduction of 200 kg for every kilogram of equipment. The final result is calculated as the weight multiplied by 200, giving the total CO2 reduction. Final Calculation: The main function, calculate_hp_machine_value, combines all of these factors. It multiplies the base price (determined by weight) with the year multiplier, grade multiplier, and problem multiplier to give the final estimated value. Additionally, it outputs the CO2 reduction. Flow: The script first prompts the user to input the machine's weight, year, grade, and whether it has any working problems. It checks the validity of inputs (e.g., the year must be between 2000 and 2024, and the grade must be A, B, or C). After performing the calculations, it prints the machine's estimated value and potential CO2 savings. This tool allows users to estimate both the monetary and environmental value of their old HP machines, encouraging sustainability through refurbishment or resale.

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September 24, 2024

How to Estimate the Value and CO2 Impact of Your HP Machine Using Python - Click on the black screen to watch the full video

Karo VARDAZARYAN