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handyfiles
Advanced tools
HandyFiles is a Python package designed to make working with files, directories, and images effortless. Whether you’re reading, writing, compressing, or manipulating images, handyfiles has got you covered!
File Operations:
Effortlessly read, write, and append text to files.
Directory Management:
Quickly list files and subdirectories.
Compression:
Compress entire directories into a .zip archive or extract existing archives.
Image Processing:
pipInstall the package directly from your local directory:
pip install .
from handyfiles import read_file, write_file, append_to_file
write_file("example.txt", "Hello, handyfiles!")
append_to_file("example.txt", "\nAdding more content.")
print(read_file("example.txt"))
from handyfiles import list_files, list_directories
print("Files:", list_files("."))
print("Directories:", list_directories("."))
from handyfiles import compress_directory, extract_archive
compress_directory("./data", "data.zip")
extract_archive("data.zip", "./extracted_data")
from handyfiles import list_images, copy_images, resize_image
print("Images:", list_images("./images"))
copy_images("./images", "./backup_images")
resize_image("example.png", "resized_example.png", 100, 100)
This project is licensed under the MIT License - see the LICENSE file for details.
Contributions are welcome! If you find a bug or have a feature request, please open an issue or submit a pull request.
Feel free to connect and follow updates on:
Happy Coding! 🎉
FAQs
A comprehensive file utility package
We found that handyfiles demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Company News
Socket won two 2026 Reppy Awards from RepVue, ranking in the top 5% of all sales orgs. AE Alexandra Lister shares what it's like to grow a sales career here.

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