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Welcome to the documentation for the Python SDK for the Data Availability Layer by Syntropy! This SDK allows seamless integration with our Data Availability Layer solution, enabling you to leverage real-time data streams in your Python applications. With the Python SDK, you can unlock the power of the Data Availability Layer and harness real-time insights for your data-driven projects.

[pubsub-python ](https://github.com/SyntropyNet/pubsub-python)is a Python example illustrating the use of the Syntropy Data Availability Layer project, which facilitates subscription to existing data streams or publishing new ones. This example employs the NATS messaging system and offers a simpler starting point for integrating Python applications with the Syntropy Data Availability Layer platform.

To install the Python SDK for Data Availability Layer, you can use pip, the Python package manager. Here's an example of how to install it:

Before you begin using the Python SDK, make sure you have the necessary credentials and access tokens from the Syntropy Developer Portalplatform. These credentials will allow you to connect to the Data Availability Layer and subscribe to or publish data streams.

1. Import the SDK:

from syntropynet_pubsub import Data Availability LayerClient

2. Initialize the client:

client = Data Availability LayerClient(access_token="your-access-token", private_key="your-private-key")

3. Subscribe to a Data Stream:

stream = client.subscribe("stream-name")

4. Receive Data Stream Events:

for event in stream.events():

# Handle the data stream event

print("Received event:", event)

5. Publish Data to a Stream:

client.publish("stream-name", b"Hello, Data Availability Layer!")

The preferred authentication method is using an access token from the developer portal.

To contribute to this project, please follow the guidelines outlined in the [Contribution.md](CONTRIBUTING.md) file. It covers important information about how to submit bug reports, suggest new features, and submit pull requests.

This project adheres to a [Code of Conduct](CODE_OF_CONDUCT.md) to ensure a welcoming and inclusive environment for all contributors. Please review the guidelines and make sure to follow them in all interactions within the project.

When making changes to the codebase, it's important to follow a consistent commit message format. Please refer to the [Commit Message Format](commit-template.md) for details on how to structure your commit messages.

To streamline the pull request process, we have provided a [Pull Request Template](pull-request-template.md) that includes the necessary sections for describing your changes, related issues, proposed changes, and any additional information. Make sure to fill out the template when submitting a pull request.

We appreciate your contributions and thank you for your support in making this project better!

If you encounter any difficulties or have questions regarding the Python SDK for Data Availability Layer, please reach out to our support team at support@syntropynet.com. We are here to assist you and ensure a smooth experience with our SDK.

We hope this documentation provides you with a comprehensive understanding of the Python SDK for the Data Availability Layer. Enjoy leveraging real-time data streams and unlocking the power of the Data Availability Layer in your Python applications!