Automating Design Variations
Generative design is a powerful approach where you use Python code to automatically create many unique design variations. Instead of manually crafting each version, you define rules and input elements—such as colors, shapes, or sizes—and let the program generate different combinations for you. This method not only saves time but also opens up new creative possibilities by exploring combinations you might not have thought of on your own.
12345678910111213# Generate color palettes by combining different color codes base_colors = ["#FF5733", "#33FF57", "#3357FF"] accent_colors = ["#F1C40F", "#8E44AD", "#16A085"] color_palettes = [] for base in base_colors: for accent in accent_colors: palette = [base, accent] color_palettes.append(palette) for palette in color_palettes: print("Palette:", palette)
By combining elements from different lists, such as base and accent colors, you can quickly generate a wide variety of design options. The code above uses two lists of color codes and pairs each base color with every accent color, resulting in all possible palette combinations. This approach is at the heart of generative design: mixing and matching elements to efficiently produce unique variations without manual repetition.
12345678910111213# Generate shape and size combinations using nested loops shapes = ["circle", "square", "triangle"] sizes = [10, 20, 30] shape_variations = [] for shape in shapes: for size in sizes: variation = {"shape": shape, "size": size} shape_variations.append(variation) for v in shape_variations: print("Variation:", v)
1. What is generative design in the context of creative coding?
2. How can nested loops help in creating design variations?
3. Fill in the blank: To create all possible combinations of two lists, you can use ________ loops.
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Generative design is a powerful approach where you use Python code to automatically create many unique design variations. Instead of manually crafting each version, you define rules and input elements—such as colors, shapes, or sizes—and let the program generate different combinations for you. This method not only saves time but also opens up new creative possibilities by exploring combinations you might not have thought of on your own.
12345678910111213# Generate color palettes by combining different color codes base_colors = ["#FF5733", "#33FF57", "#3357FF"] accent_colors = ["#F1C40F", "#8E44AD", "#16A085"] color_palettes = [] for base in base_colors: for accent in accent_colors: palette = [base, accent] color_palettes.append(palette) for palette in color_palettes: print("Palette:", palette)
By combining elements from different lists, such as base and accent colors, you can quickly generate a wide variety of design options. The code above uses two lists of color codes and pairs each base color with every accent color, resulting in all possible palette combinations. This approach is at the heart of generative design: mixing and matching elements to efficiently produce unique variations without manual repetition.
12345678910111213# Generate shape and size combinations using nested loops shapes = ["circle", "square", "triangle"] sizes = [10, 20, 30] shape_variations = [] for shape in shapes: for size in sizes: variation = {"shape": shape, "size": size} shape_variations.append(variation) for v in shape_variations: print("Variation:", v)
1. What is generative design in the context of creative coding?
2. How can nested loops help in creating design variations?
3. Fill in the blank: To create all possible combinations of two lists, you can use ________ loops.
Merci pour vos commentaires !
