Metadata-Version: 2.4
Name: rapidds
Version: 0.1.1
Summary: A beginner-friendly guided dataset companion for simpler data science.
Author: Joel John Jobinse
License: MIT
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: pandas>=1.5
Requires-Dist: numpy>=1.23
Requires-Dist: scikit-learn>=1.3
Dynamic: license-file

# 🚀 rapidds

**rapidds makes data science simpler.**

Instead of spending time figuring out *what* to analyze, `rapidds`
guides you.

Whether you're a student exploring your first dataset or a developer
prototyping quickly, `rapidds` helps you understand your data without
overthinking the process.

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## ✨ What rapidds Does

`rapidds` provides a guided dataset companion that helps you:

-   📊 Automatically analyze your data\
-   🧠 Get intelligent suggestions on what to explore next\
-   📝 Receive clear explanations in plain language\
-   🧹 Clean and organize messy datasets

It reduces analysis paralysis and helps you move forward with
confidence.

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## ⚡ 60-Second Example

``` python
from rapidds import Dataset

data = Dataset("students.csv")

data.analyze()
data.suggest()
data.explain()
```

That's it.

No complex setup.\
No guessing what to do next.\
Just guided insights.

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## 🎯 Philosophy

Most data science tools assume you already know what you're looking for.

`rapidds` is built on a different idea:

> You shouldn't need to know what to analyze before you start.

It helps you discover patterns, issues, and directions --- especially
when you're not sure where to begin.

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## 🛠 Installation

(Currently under development)

``` bash
pip install rapidds
```

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## 📦 Project Status

`v0.1.0` --- Initial stable release\
Core features include dataset analysis, suggestions, explanations, and
cleaning utilities.

More improvements and structured returns are planned for future
versions.

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## 🤝 Who is rapidds for?

-   Students learning data science
-   Developers prototyping ideas quickly
-   Anyone who wants clearer insights without heavy setup
