As a developer, I'm always optimizing workflows. For a kitchen renovation project, I wrote a Python script to compare cabinet handle styles by price and material. Here's a function that filters products from an API response:
python
def filter_handles(products, max_price, material):
filtered = []
for product in products:
if product['price'] <= max_price and product['material'] == material:
filtered.append(product)
return filtered
Example data from a cabinet furniture collection
cabinet_products = [
{'name': 'Brushed Nickel Pull', 'price': 4.99, 'material': 'Zinc Alloy'},
{'name': 'Antique Brass Knob', 'price': 3.49, 'material': 'Brass'},
{'name': 'Matte Black Handle', 'price': 5.99, 'material': 'Steel'}
]
budget_friendly = filter_handles(cabinet_products, 5.00, 'Brass')
print(budget_friendly)
This helps narrow down durable options without breaking the bank. The craftsmanship in modern cabinet hardware is impressive—zinc alloys offer great value. How do you approach selecting drawer pulls for a cohesive look?
Top comments (1)
This is a nice practical use of filtering logic — simple but actually useful in real decision-making.
For cohesion, I usually think more in terms of finish + shape consistency across rooms rather than material alone.