A lightweight and extensible Python package for managing data, tailored for researchers working with structured data.
Project description
📦 dwrappr
A lightweight and extensible Python package for managing data, tailored for researchers working with structured data. In addition to general data management features, the package introduces a data structure specifically optimized for ML research. This common format enables researchers to efficiently test new algorithms and methods, streamlining collaboration and ensuring consistency in data management across projects.
Under development.
🧩 Features
- 🗃️ Consistent dataset object structure for handling structured data in ML use cases
- 🔄 Support for building a file-based internal dataset collaboration platform for researchers
- 🧰 General utilities for managing data like saving and loading
📄 Help
See Documentation for details.
🛠️ Package Installation
pip install dwrappr
(keep package updated with pip install dwrappr --upgrade)
🚀 Quickstart Examples
- loading_dataset_from_file.py: Shows how to load a dataset from an existing dataset file
- scanning_folder_for_datasets.py: Shows how to scann a folder vor available datasets
- dataset_functionalities.py : Shows some of the main functionalities of the DataSet class.
🔧 Maintainer
This project is maintained by Nils
Project details
Release history Release notifications | RSS feed
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 dwrappr-0.0.13.tar.gz.
File metadata
- Download URL: dwrappr-0.0.13.tar.gz
- Upload date:
- Size: 18.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c513ad6b6457fe5640b5bfdc884070f6789a5ee00b3f6788f71ab9be340fd290
|
|
| MD5 |
3633bf1b30df9bdcd40972186bda5f7a
|
|
| BLAKE2b-256 |
609c929a7b36d4f97c5c3ce439375c7ca886dd55c84d9f76fe7858f0960256d5
|
File details
Details for the file dwrappr-0.0.13-py3-none-any.whl.
File metadata
- Download URL: dwrappr-0.0.13-py3-none-any.whl
- Upload date:
- Size: 18.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
da14b4a9b030ada7c1241daf2ec1aae9764637e435c94a8f3cb2c72526a894fd
|
|
| MD5 |
95d0d5c21abb2b2c06a07c6f1c0da876
|
|
| BLAKE2b-256 |
8434b41e72cf52ecfcddb9a955c4e9dbac1db6d607f82b95e107350b539d8ee7
|