The Injective Test Network integrates with the Python Network, allowing developers to build DApps to access agency data

On March 22, it was announced that the Cosmos ecological smart contract platform Injective Test Network integrated with the Python Network, allowing developers to build DApps to access high-fidelity and high-frequency market data for various assets. This is the first time Python data supports the Cosmos ecosystem. Python Network introduces an innovative on-demand pull model oracle that allows users to push available prices onto the chain when needed, and enables everyone in the blockchain environment to access the data point. Python runs on Injective and is implemented by Wormhole. Publishers can send data directly to Python in the form of transactions, and then place these data assets on the chain. When a target chain (such as Injective) requests data, Python can send data through Wormhole.

Interpretation of this information:

On March 22, Injective Test Network integrated with Python Network to provide the first support for Python data on the Cosmos ecosystem. This integration means that developers can now build Decentralized Applications (DApps) that have access to high-frequency and high-fidelity market data for multiple assets. Python Network introduces an on-demand model oracle that allows users to push available prices to the chain when needed, so that anyone in the blockchain environment can access the data point. This service is implemented by Wormhole and operates on Injective. Data publishers can send data directly to Python in the form of transactions and place them on the chain, so that when the target chain requests data, Python can send the information through Wormhole.

This integration is significant for the Cosmos ecosystem, as it now allows developers to securely access and use market data for various assets. The use of high-frequency and high-fidelity market data has become increasingly important in the blockchain ecosystem, and this integration helps to address that need. Additionally, the on-demand pull model oracle created by Python Network provides a unique solution that facilitates secure access to market data.

The three keywords that summarize this content are ‘Cosmos ecosystem,’ ‘Python Network,’ and ‘on-demand model oracle.’ The first keyword, the Cosmos ecosystem, refers to the decentralized platform that focuses on enabling interoperability between different blockchains. The second keyword, Python Network, refers to the entity that provides an on-demand pull model oracle that allows users to push available prices onto the chain when required. Finally, the on-demand model oracle refers to the system that facilitates secure access to market data by enabling users to push available prices onto the chain.

In conclusion, the integration of Python Network and Injective Test Network provides new opportunities for developers to access high-frequency and high-fidelity market data for multiple assets. This service, which is implemented by Wormhole and operates on Injective, creates a secure way for blockchain users to access important market data. This integration will likely be welcomed by developers across the blockchain ecosystem as they strive to create decentralized applications that can effectively operate in the current global financial ecosystem.