A simple inventory management system
Project description
Inventory Management Library
This is a simple inventory management system written in Python, developed as a project for the final lab exam. The purpose of this project is to demonstrate the implementation of fundamental programming concepts and practices in inventory management.
This project was developed under the guidance of our professor, Prof. Fe Hablanida, as a part of our final lab exam.
Features
- addPart(): Add a new part to the inventory.
- searchPart(): Search for a part in the inventory.
- changePartDescription(): Modify the description of an existing part.
- printInventory(): Print the entire inventory.
- deletePart(): Remove a part from the inventory.
Installation
To install the Inventory Management Library, run:
pip install inventoryManagement
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file invmanagement-0.5.tar.gz.
File metadata
- Download URL: invmanagement-0.5.tar.gz
- Upload date:
- Size: 3.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
56c61b9c386df9db3424c29f7148e6f210c49d074508388b78f2cb929d8d7adb
|
|
| MD5 |
210e2d3810cd931105d2cf25ba7be1b3
|
|
| BLAKE2b-256 |
b765c3f983e35fdedc9747398f05a556d786960a39685f33c51dd6f11d2fc00a
|
File details
Details for the file InvManagement-0.5-py3-none-any.whl.
File metadata
- Download URL: InvManagement-0.5-py3-none-any.whl
- Upload date:
- Size: 4.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0aeb6e6c46d0f496b7ffa357c5337439779ea24f24443680d0e7313c9ef69523
|
|
| MD5 |
bf942d7084e9261992097131b86a4531
|
|
| BLAKE2b-256 |
73ada37c30c93108d53afe66efc05a43dc06d393ef0409791dc6cf5a23394bc7
|
