# Atlas – The Ultimate Python Development Ecosystem

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## 🌟 Overview

**Atlas** is a **modern**, **modular**, and **powerful** ecosystem of Python libraries designed to provide developers with a comprehensive toolkit for building everything from simple scripts to complex applications. With a clean, consistent API and a focus on developer experience, Atlas aims to become the go‑to foundation for Python projects of any scale.

Atlas is not a single monolithic library – it is a collection of **optional modules** that you can install individually, allowing you to keep your projects lean while still having access to advanced functionality when you need it.

**Current status:** Alpha development – core infrastructure is in place, and new modules are being added incrementally. We are at version **0.0.2**.

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## 🚀 Installation

### Basic Installation

Install the core module (which provides the base infrastructure and common utilities):

```bash
pip install atlas-corelib
```

Planned Modules (Future Releases)

Atlas is designed to be modular. The following modules are planned for future releases:

Module Planned Version Description
atlas.math 0.1.0 Advanced mathematics, linear algebra, calculus, statistics, random numbers, and more.
atlas.data 0.2.0 Data manipulation, dataframes, CSV/JSON handling, data pipelines, and ETL tools.
atlas.ai 0.3.0 Machine learning, neural networks, deep learning, NLP, computer vision, and AI utilities.
atlas.net 0.4.0 Networking, HTTP clients/servers, WebSockets, RPC, asynchronous communication.
atlas.utils 0.1.0 Everyday utilities: string manipulation, file handling, decorators, caching, logging.
atlas.parallel 0.5.0 Parallel computing, multiprocessing, threading, async, distributed computing.
atlas.graphics 0.6.0 2D/3D graphics, plotting, visualization, GUIs, image processing.
atlas.sound 0.7.0 Audio processing, synthesis, playback, recording, sound analysis.
atlas.game 0.8.0 Game development: physics, sprites, collision detection, input handling.
atlas.crypto 0.9.0 Cryptography, hashing, encryption, digital signatures, secure random.
atlas.dev 0.1.0 Development tools: testing, profiling, debugging, code generation, linting.

Note: These modules are not yet available. Follow the project to get updates on releases.

Development Installation

For contributors who want to set up a development environment:

```bash
git clone https://github.com/light-dot-py/Atlas.git
cd Atlas
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -e .[dev]
```

---

🎯 Project Goals

Atlas is built on the following principles:

· Modularity: Each module is independent and can be used without pulling in unnecessary dependencies.
· Clean API: Consistent, well-documented, and intuitive interfaces across all modules.
· Performance: Core components are optimized for speed and memory efficiency.
· Extensibility: Easy to add new modules or extend existing ones.
· Developer Experience: First-class error messages, comprehensive documentation, and helpful tooling.
· Future‑proof: Designed to evolve with the Python language and community needs.

---

📖 Current Usage (v0.0.2)

Currently, only the core module is available. You can import it and check basic information:

```python
import atlas

print(atlas.__version__)          # e.g., 0.0.2
print(atlas.__doc__)               # short description
```

More functionality will be added in upcoming releases. Stay tuned!

---

Planned Examples (for future reference)

Once modules become available, usage will look like this:

```python
from atlas.math import Vector, Matrix, sin, cos, integrate

v = Vector([1, 2, 3])
w = Vector([4, 5, 6])
print(v.dot(w))                     # 32

m = Matrix([[1, 2], [3, 4]])
print(m.det())                       # -2
```

---

📂 Project Structure

The Atlas repository is organized as follows:

```
Atlas/
├── atlas/                         # Main package
│   ├── __init__.py                # Core module
│   ├── core/                      # Core infrastructure
│   │   ├── __init__.py
│   │   ├── exceptions.py
│   │   ├── version.py
│   │   └── ...
│   └── ... (future modules will be added as subdirectories)
├── tests/                          # Unit tests
│   ├── test_core.py
│   └── ...
├── docs/                           # Documentation (to be added)
├── examples/                       # Example scripts
│   └── core_examples.py
├── pyproject.toml                  # Project configuration
├── README.md                       # This file
├── CONTRIBUTING.md                 # Contribution guide
├── CODE_OF_CONDUCT.md              # Code of conduct
├── ROADMAP.md                       # Development roadmap
├── CHANGELOG.md                     # Release history
├── LICENSE                          # MIT license
└── .github/                         # GitHub workflows
```

---

🗺️ Roadmap (High-Level)

Phase 1 – Foundation (v0.0.x – v0.1.0)

· Core infrastructure
· Basic utilities (version, exceptions)
· Documentation setup
· Continuous integration
· First module: atlas.utils (string helpers, file I/O)

Phase 2 – Mathematics (v0.2.0)

· atlas.math with vectors, matrices, complex numbers
· Basic arithmetic and algebra
· Random number generation

Phase 3 – Data & Networking (v0.3.0 – v0.4.0)

· atlas.data: simple data structures
· atlas.net: HTTP client

... (further phases will be detailed in ROADMAP.md)

For a detailed roadmap, see ROADMAP.md.

---

🤝 Contributing

We welcome contributions of all kinds – bug reports, feature requests, documentation improvements, and code contributions. Please read our CONTRIBUTING.md for detailed guidelines.

Development Setup

1. Fork the repository on GitHub.
2. Clone your fork locally:
   ```bash
   git clone https://github.com/your-username/Atlas.git
   cd Atlas
   ```
3. Set up a virtual environment and install development dependencies:
   ```bash
   python -m venv .venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate
   pip install -e .[dev]
   ```
4. Run tests to ensure everything works:
   ```bash
   pytest
   ```

Code Style

Atlas follows PEP 8, with formatting enforced by Black and import sorting by isort. Type hints are encouraged.

---

📚 Documentation

Documentation is under construction. Once available, it will be hosted at https://atlas.readthedocs.io. For now, refer to the docstrings in the source code.

---

🧪 Testing

Atlas uses pytest for testing. Run the test suite with:

```bash
pytest
```

To run tests with coverage:

```bash
pytest --cov=atlas
```

---

📈 Performance

Performance optimization is an ongoing goal. The core is kept lightweight, and future modules will be optimized as they are developed.

---

🔧 Troubleshooting

ImportError: No module named 'atlas'

Make sure you have installed the package correctly:

```bash
pip install atlas-corelib
```

Missing planned modules

Planned modules are not yet available. Watch the repository for release announcements.

---

💬 Community

· GitHub Issues: Report bugs or request features
· Discussions: Start a discussion

(Official community channels will be added as the project grows.)

---

📄 License

Atlas is open source software licensed under the MIT License. See the LICENSE file for details.

---

🙏 Acknowledgements

Atlas is inspired by many great Python projects, including:

· NumPy
· SciPy
· Pandas
· Scikit-learn
· PyTorch
· Flask
· Requests
· Matplotlib

We thank the open-source community for making this project possible.

---


🚢 Versioning

Atlas follows Semantic Versioning. The current version is 0.0.2 (alpha). Breaking changes may occur until 1.0.0.

---

📝 Changelog

See CHANGELOG.md for a detailed history of changes.

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🎉 Why Choose Atlas?

· Comprehensive vision: Designed to become a full‑stack Python ecosystem.
· Clean API: Planned to be intuitive and consistent.
· Modular: Install only what you need – no bloat.
· Community‑driven: Built with feedback and contributions.

Join us in building the future of Python development – one module at a time.

---

Atlas – Carry the world on your shoulders, with Python.

