Do you want to automate image processing without Photoshop?
A noscript project based on the
rembg library:pip install rembg
Example code:
from rembg import remove
def remove_background(input_path: str, output_path: str) -> None:
"""Removes the background from the image and saves the result."""
with open(input_path, 'rb') as input_file:
with open(output_path, 'wb') as output_file:
image_bytes: bytes = input_file.read()
output_bytes: bytes = remove(image_bytes)
output_file.write(output_bytes)
if __name__ == "__main__":
remove_background('input.png', 'output.png')
#python #soft #code
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✨ virtual environments | Python Best Practices ✨
📖 Guidelines and best practices for setting up Python virtual environments.
🏷️ #Python
📖 Guidelines and best practices for setting up Python virtual environments.
🏷️ #Python
✨ Quiz: Python's list Data Type: A Deep Dive With Examples ✨
📖 Check your Python list skills with quick tasks on indexing, slicing, methods, copies, comprehensions, and pitfalls.
🏷️ #intermediate #data-structures #python
📖 Check your Python list skills with quick tasks on indexing, slicing, methods, copies, comprehensions, and pitfalls.
🏷️ #intermediate #data-structures #python
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✨ version control (source control) | Python Best Practices ✨
📖 Guidelines and best practices for version-controlling your Python code.
🏷️ #Python
📖 Guidelines and best practices for version-controlling your Python code.
🏷️ #Python
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Use itertools instead of loops
Although loops are cool, they have limitations, especially in modern programming styles and for certain types of tasks. Understanding these limitations helps to choose the right tool for the task. Each iteration of a loop in Python incurs interpreter overhead, such as type checking and memory management. On large datasets, this can add up significantly.
To circumvent this limitation, Python has a convenient built-in library called itertools. For example, suppose you need to generate all unique pairs from a given list. The order doesn't matter, and no element should form a pair with itself.
To avoid bloated code and reduce the risk of bugs, you can use the itertools library. The function itertools.combinations() directly generates all unique combinations of elements from an iterable without duplicates and without considering order.
Here's how to rewrite the code using combinations from itertools:
👉 @datascience4
Although loops are cool, they have limitations, especially in modern programming styles and for certain types of tasks. Understanding these limitations helps to choose the right tool for the task. Each iteration of a loop in Python incurs interpreter overhead, such as type checking and memory management. On large datasets, this can add up significantly.
To circumvent this limitation, Python has a convenient built-in library called itertools. For example, suppose you need to generate all unique pairs from a given list. The order doesn't matter, and no element should form a pair with itself.
To avoid bloated code and reduce the risk of bugs, you can use the itertools library. The function itertools.combinations() directly generates all unique combinations of elements from an iterable without duplicates and without considering order.
Here's how to rewrite the code using combinations from itertools:
from itertools import combinations
def get_unique_pairs_itertools(items):
return list(combinations(items, 2))
my_list = ['A', 'B', 'C', 'D']
print(get_unique_pairs_itertools(my_list))
Output:
[('A', 'B'), ('A', 'C'), ('A', 'D'), ('B', 'C'), ('B', 'D'), ('C', 'D')]
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✨ Quiz: TinyDB: A Lightweight JSON Database for Small Projects ✨
📖 If you're looking for a JSON document-oriented database that requires no configuration for your Python project, TinyDB could be what you need.
🏷️ #basics #databases #python
📖 If you're looking for a JSON document-oriented database that requires no configuration for your Python project, TinyDB could be what you need.
🏷️ #basics #databases #python
✨ security | Python Best Practices ✨
📖 Guidelines and best practices to help prevent security vulnerabilities in your Python code.
🏷️ #Python
📖 Guidelines and best practices to help prevent security vulnerabilities in your Python code.
🏷️ #Python
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✨ standard library | Python Best Practices ✨
📖 Guidelines and best practices for using standard-library code in your Python programs.
🏷️ #Python
📖 Guidelines and best practices for using standard-library code in your Python programs.
🏷️ #Python
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Automate the Boring Stuff with Python Workbook 2026
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✨ refactoring | Python Best Practices ✨
📖 Guidelines and best practices for refactoring your Python code.
🏷️ #Python
📖 Guidelines and best practices for refactoring your Python code.
🏷️ #Python
✨ Quiz: Python's tuple Data Type: A Deep Dive With Examples ✨
📖 Practice Python tuples: create, access, and unpack immutable sequences to write safer, clearer code. Reinforce basics and avoid common gotchas. Try the quiz.
🏷️ #intermediate #python
📖 Practice Python tuples: create, access, and unpack immutable sequences to write safer, clearer code. Reinforce basics and avoid common gotchas. Try the quiz.
🏷️ #intermediate #python