semvec/pypi-packages huggingface dataset:
endura-sdk 0.1.8
SDK for Edge AI Device Agent
Requires Python: >=3.7

# **Endura SDK**

The **Endura SDK** provides a trust layer for edge AI models, allowing you to securely log telemetry, capture model metadata, and validate data at the edge.

---

## **Usage**

### **Using the SDK in Python**:

Once the SDK is installed, you can import and use it in your Python code:

```python
from endura_sdk import EnduraAgent

# Initialize with your model path
agent = EnduraAgent("path_to_model.pth")

# Log an inference event
agent.log_inference(input_data)
```
fibonacci-number 0.0.1
Project about Fibonacci algorithms, including multiple parallelization strategies.
Requires Python: >=3.10

# Fibonacci Parallelized
Project focused on implementing and experimenting with different Fibonacci algorithms, including several parallelization strategies to improve performance and efficiency.

## Getting started
First, set up your Python environment:

```bash
python -m venv .venv

# On Windows:
.venv\Scripts\activate
# On Unix or MacOS:
source .venv/bin/activate

python -m pip install -e .
```

For available options and help, use:

```bash
fib --help
```

## Running with Docker

To build the Docker image:

```bash
docker build -t fib_api:latest .
```

To run the project in a container:

```bash
docker run --name fib_container -it --entrypoint bash fib_api:latest
```

## Development

For development and testing, install additional dependencies:

```bash
pip install -e ".[dev]"
```

Run the test suite with:

```bash
pytest tests/
```