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Lære Batch Processing with Lists | Creative Automation with Python
Python for Creators and Makers

bookBatch Processing with Lists

Batch processing is a powerful technique that lets you apply the same operation to many items at once. In creative work, this is especially useful. Imagine you want to brighten a whole folder of photos, resize a batch of shapes for an art piece, or change the color of every object in a scene. Instead of editing each item one by one, you can use batch processing to automate these repetitive tasks, saving time and ensuring consistency across your creative elements. Lists in Python make this possible by allowing you to store groups of related values—such as image brightness levels, shape sizes, or object colors—so you can process them together with just a few lines of code.

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def increase_brightness(brightness_values, increase_by): updated_values = [] for value in brightness_values: updated_values.append(value + increase_by) return updated_values # Example usage: original_brightness = [50, 120, 200, 80] brighter = increase_brightness(original_brightness, 30) print(brighter) # Output: [80, 150, 230, 110]
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The increase_brightness function above demonstrates how batch processing works in practice. You start with a list of numbers, each representing the brightness of an image or object. The function loops through every value in the list, increases it by a fixed amount, and collects the results in a new list. This is similar to using a batch edit tool in creative software, where you apply the same filter or adjustment to multiple files at once. Instead of handling each item separately, the loop lets you automate the process, making your workflow faster and more efficient.

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# Adjust shape sizes for a generative art piece shape_sizes = [10, 20, 30, 40, 50] scaled_sizes = [] for size in shape_sizes: new_size = size * 1.5 # Scale each size by 1.5x scaled_sizes.append(new_size) print(scaled_sizes) # Output: [15.0, 30.0, 45.0, 60.0, 75.0]
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1. Why are lists useful for batch processing in Python?

2. What Python structure allows you to store multiple values for batch operations?

3. Fill in the blank: To apply a function to every item in a list, you typically use a ________.

question mark

Why are lists useful for batch processing in Python?

Select all correct answers

question mark

What Python structure allows you to store multiple values for batch operations?

Select the correct answer

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Fill in the blank: To apply a function to every item in a list, you typically use a ________.

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Hvordan kan vi forbedre det?

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Sektion 1. Kapitel 2

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bookBatch Processing with Lists

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Batch processing is a powerful technique that lets you apply the same operation to many items at once. In creative work, this is especially useful. Imagine you want to brighten a whole folder of photos, resize a batch of shapes for an art piece, or change the color of every object in a scene. Instead of editing each item one by one, you can use batch processing to automate these repetitive tasks, saving time and ensuring consistency across your creative elements. Lists in Python make this possible by allowing you to store groups of related values—such as image brightness levels, shape sizes, or object colors—so you can process them together with just a few lines of code.

12345678910
def increase_brightness(brightness_values, increase_by): updated_values = [] for value in brightness_values: updated_values.append(value + increase_by) return updated_values # Example usage: original_brightness = [50, 120, 200, 80] brighter = increase_brightness(original_brightness, 30) print(brighter) # Output: [80, 150, 230, 110]
copy

The increase_brightness function above demonstrates how batch processing works in practice. You start with a list of numbers, each representing the brightness of an image or object. The function loops through every value in the list, increases it by a fixed amount, and collects the results in a new list. This is similar to using a batch edit tool in creative software, where you apply the same filter or adjustment to multiple files at once. Instead of handling each item separately, the loop lets you automate the process, making your workflow faster and more efficient.

123456789
# Adjust shape sizes for a generative art piece shape_sizes = [10, 20, 30, 40, 50] scaled_sizes = [] for size in shape_sizes: new_size = size * 1.5 # Scale each size by 1.5x scaled_sizes.append(new_size) print(scaled_sizes) # Output: [15.0, 30.0, 45.0, 60.0, 75.0]
copy

1. Why are lists useful for batch processing in Python?

2. What Python structure allows you to store multiple values for batch operations?

3. Fill in the blank: To apply a function to every item in a list, you typically use a ________.

question mark

Why are lists useful for batch processing in Python?

Select all correct answers

question mark

What Python structure allows you to store multiple values for batch operations?

Select the correct answer

question-icon

Fill in the blank: To apply a function to every item in a list, you typically use a ________.

Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 1. Kapitel 2
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