semvec/pypi-packages huggingface dataset:
mediqaws 0.0.6
A collection of AWS clients, and a secrets manager.
Requires Python: >=3.11

# mediqaws

A collection of AWS clients, and asecrets manager.

## Install

`pip install mediqaws`

## Usage

```python
from mediqaws.clients import S3

profile_name = "..."
bucket_name = "..."
object_key_prefix = "..."
file_path = "..."

with S3(profile_name=profile_name) as s3:
  object_key = s3.upload(file_path, bucket_name, object_key_prefix)
print(object_key)
```

```python
from mediqaws.secrets_manager import SecretsManager

secrets_manager = SecretsManager()
secret = secrets_manager.get_secret(os.getenv("SECRET_NAME"))
print(secret)
```

See more examples under `tests` directory.
ahsentahir-myframework 0.1.0
A Python framework for ML workflows(this one is for testing purpose only)
Requires Python: >=3.7

# MyFramework

A Python framework for machine learning workflows, providing tools for data processing, model training, and evaluation.

## Features

- Data processing utilities (module1)
- Machine learning tools (module2)
- Common utility functions
- Comprehensive test suite
- Example scripts

## Installation

```bash
pip install myframework
```

## Quick Start

```python
from myframework.module1 import process_data
from myframework.module2 import train_model, evaluate_model

# Process your data
processed_data = process_data(your_data, normalize=True)

# Train a model
model = train_model(X_train, y_train)

# Evaluate the model
metrics = evaluate_model(model, X_test, y_test)
```

## Documentation

For detailed documentation, see the `docs/` directory or visit our [documentation site](docs/index.md).

## Examples

Check out the `examples/` directory for usage examples:

```bash
python examples/example1.py
```

## Development

1. Clone the repository
2. Install development dependencies:
   ```bash
   pip install -r requirements.txt
   ```
3. Run tests:
   ```bash
   pytest
   ```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.