Shining Pebbles

Description

A collection of utility functions that enable treating a file system of multiple files as a pseudo-database, facilitating maintenance and operations across the large-scale file system.

Installation

pip install shining_pebbles

Use Cases

  • RPA projects @ LIFE Asset Management

Contact

  • June Young Park, AI Management Dev Team Lead at LIFE Asset Management
  • Email: juneyoungpaak@gmail.com
  • Life Asset Management, A hedge fund and private equity management firm headquartered in the International Finance Center, Yeouido, South Korea, dedicated to enhancing corporate value and shareholder value.

Version History

v0.5.5

  • Maintenance release: ensure build and PyPI upload reflect latest source files

v0.5.4

  • Added support for loading .xls Excel files in load_utils
  • Added xlrd as a required dependency for .xls file support

v0.5.3

  • Fixed module import structure in root __init__.py

v0.5.2

  • Fixed import path bug in date_extracting_utils.py

v0.5.1

  • Restructured project layout for better organization
    • Moved file management utilities to pseudo_database package
    • Added new load_utils.py for DataFrame loading operations
    • Split file utilities into specialized modules

v0.5.0

  • Added new module delete_utils.py for file deletion operations
    • delete_file: Delete a single file
    • delete_old_files: Delete old files while keeping N newest files
    • delete_old_files_in_file_folder_by_regex: Delete old files in a folder matching regex pattern

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Juneyoung from gravatar.com Juneyoung

Credits

PyPI data
Data sourced directly from PyPI's database.

Author: June Young Park

License

MIT License

Requires

Python >=3.6

Classifiers

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0.5.5 This release

2 files

0.5.4

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0.5.3

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0.5.2

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0.5.1

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0.1.0

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