# 🛠️ Data Scientist Utilities
## 🚀 Overview
Welcome to the **Data Scientist Utilities** repository! This repository is a carefully curated collection of tools and utilities that I've developed throughout my journey as a Data Scientist. Whether you're aiming to streamline data manipulation, elevate your data augmentation strategies, or craft stunning visualizations, you'll find valuable resources here to boost your productivity.
## 🎨 Repository Contents
Explore the core components of this repository:
- **`data_augmentation/`**: Scripts and methods for augmenting datasets, designed to improve model robustness and performance across various scenarios.
- **`data_manipulation/`**: A comprehensive set of tools for efficient data manipulation, including cleaning, transforming, and reshaping datasets to fit your needs.
- **`data_visualization/`**: A collection of visualization tools to help you explore, analyze, and present your data in insightful and compelling ways.
*Note: This repository is continuously evolving, with new tools and updates being added regularly. Be sure to check back often for the latest enhancements!*
## ✨ Getting Started
To start using these utilities, follow these steps:
1. Install the package via pip:
```bash
pip install datasu
```
2. Explore the contents and integrate the tools into your projects to enhance your data science workflows.
## 🌟 Contributing
Your contributions are invaluable in making this toolbox more robust and versatile! Whether you've developed new tools, discovered bugs, or have ideas for enhancements, feel free to open an issue or submit a pull request. Let's work together to expand this collection and support the data science community!
## 🤖 License
This project is licensed under the [MIT License](LICENSE). You're free to use, modify, and share the code. Happy coding, experimenting, and data exploration!
Raw data
{
"_id": null,
"home_page": "https://github.com/danibcorr/data-scientist-utilities",
"name": "datasu",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "python, data science, machine learning, deep learning, artificial intelligence",
"author": "danibcorr (Daniel Bazo)",
"author_email": null,
"download_url": null,
"platform": null,
"description": "\n# \ud83d\udee0\ufe0f Data Scientist Utilities\n\n## \ud83d\ude80 Overview\n\nWelcome to the **Data Scientist Utilities** repository! This repository is a carefully curated collection of tools and utilities that I've developed throughout my journey as a Data Scientist. Whether you're aiming to streamline data manipulation, elevate your data augmentation strategies, or craft stunning visualizations, you'll find valuable resources here to boost your productivity.\n\n## \ud83c\udfa8 Repository Contents\n\nExplore the core components of this repository:\n\n- **`data_augmentation/`**: Scripts and methods for augmenting datasets, designed to improve model robustness and performance across various scenarios.\n- **`data_manipulation/`**: A comprehensive set of tools for efficient data manipulation, including cleaning, transforming, and reshaping datasets to fit your needs.\n- **`data_visualization/`**: A collection of visualization tools to help you explore, analyze, and present your data in insightful and compelling ways.\n\n*Note: This repository is continuously evolving, with new tools and updates being added regularly. Be sure to check back often for the latest enhancements!*\n\n## \u2728 Getting Started\n\nTo start using these utilities, follow these steps:\n\n1. Install the package via pip:\n\n ```bash\n pip install datasu\n ```\n\n2. Explore the contents and integrate the tools into your projects to enhance your data science workflows.\n\n## \ud83c\udf1f Contributing\n\nYour contributions are invaluable in making this toolbox more robust and versatile! Whether you've developed new tools, discovered bugs, or have ideas for enhancements, feel free to open an issue or submit a pull request. Let's work together to expand this collection and support the data science community!\n\n## \ud83e\udd16 License\n\nThis project is licensed under the [MIT License](LICENSE). You're free to use, modify, and share the code. Happy coding, experimenting, and data exploration!\n",
"bugtrack_url": null,
"license": null,
"summary": "Essential utilities for data scientists",
"version": "0.1.1",
"project_urls": {
"Homepage": "https://github.com/danibcorr/data-scientist-utilities"
},
"split_keywords": [
"python",
" data science",
" machine learning",
" deep learning",
" artificial intelligence"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b52afdecee6c79d00aabfa5f301b33ab8d17c0d1a7f364c74700b47418190677",
"md5": "05d9b02f296fb39d4dcaae8930d1fc63",
"sha256": "daf3d5857ccbcc114a966101542ac3a163dcadade55afbb85d86b08fc8257066"
},
"downloads": -1,
"filename": "datasu-0.1.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "05d9b02f296fb39d4dcaae8930d1fc63",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 10592,
"upload_time": "2024-08-28T08:01:50",
"upload_time_iso_8601": "2024-08-28T08:01:50.681405Z",
"url": "https://files.pythonhosted.org/packages/b5/2a/fdecee6c79d00aabfa5f301b33ab8d17c0d1a7f364c74700b47418190677/datasu-0.1.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-08-28 08:01:50",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "danibcorr",
"github_project": "data-scientist-utilities",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "datasu"
}
JSON
