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

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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 ac

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.

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

I. Introduction
A. Background information on Cosmos ecological smart contract platform and Injective Test Network
B. Announcement of the integration of Python Network and Injective Test Network
II. What is Python Network?
A. Overview of Python Network
B. Innovative on-demand pull model oracle
C. Benefits of Python Network for blockchain developers
III. How does Python Network integrate with Injective Test Network?
A. Implementation of Python Network by Wormhole
B. Process of sending and receiving data between publishers and Python Network, and Python Network and Injective Test Network
IV. Use cases for Injective Test Network with Python Network
A. Accessing high-fidelity and high-frequency market data for various assets
B. Creating and launching dApps on the Cosmos network with reliable data
V. Conclusion
A. Recap of the integration of Python Network with Injective Test Network
B. Potential impact on the blockchain industry
VI. FAQs
A. How does Python Network benefit developers on the Cosmos ecosystem?
B. What kind of data can be accessed through Python Network?
C. What role does Wormhole play in the integration of Python Network and Injective Test Network?
# On-demand Access to Data: Injective Test Network Integrates Python Network
Blockchain technology is revolutionizing various industries, and new developments are constantly being made to enhance the capabilities of these decentralized networks. On March 22, the Cosmos ecological smart contract platform Injective Test Network announced its integration with Python Network, which provides developers with on-demand access to high-fidelity and high-frequency market data for various assets. This marks the first time that Python data supports the Cosmos ecosystem, opening up new possibilities for dApps (decentralized applications) on the platform.

What is Python Network?

Python Network is 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. In simpler terms, Python Network acts as a bridge between publishers and other chains, providing reliable and accurate data that can be accessed in real-time. This is especially beneficial for developers who require consistent and high-quality data for their projects.

How does Python Network integrate with Injective Test Network?

The implementation of Python Network with Injective Test Network is made possible by Wormhole – a platform that allows data to be transferred between chains. Publishers can send data directly to Python in the form of transactions, which are then placed on the chain. When a target chain (such as Injective) requests data, Python can send data through Wormhole. This creates an efficient and secure system for accessing and sharing data, without compromising on privacy or decentralization.

Use cases for Injective Test Network with Python Network

The integration of Python Network with Injective Test Network has numerous use cases. Developers can use the reliable market data provided by Python Network to create and launch dApps on the Cosmos network, ensuring that their applications are backed by accurate and up-to-date information. This is particularly advantageous for projects that require data from multiple sources, as Python Network can aggregate various data points and provide a comprehensive report.
Additionally, high-fidelity and high-frequency market data is critical for trading and investing, and developers can leverage Python Network’s capabilities to create tools and applications that enable traders to make more informed decisions. As a result, this integration has the potential to improve overall performance and user experience for investors.

Conclusion

The integration of Python Network with Injective Test Network is a significant development in the blockchain industry, and highlights the growing importance of reliable and accurate data in decentralized networks. Python Network’s on-demand pull model oracle provides developers with a streamlined and hassle-free way to access the data they need, without relying on centralized sources.
As blockchain technology continues to evolve, the integration of various platforms and networks will become increasingly important for unlocking new possibilities and use cases. The integration of Python Network with Injective Test Network is just the beginning, and we can expect to see even more innovative solutions in the near future.

FAQs

How does Python Network benefit developers on the Cosmos ecosystem?

Python Network enables developers to access high-quality and accurate data for their projects, which is essential for creating reliable and user-friendly dApps on the Cosmos network. This saves time and resources, as developers no longer need to rely on centralized sources for data.

What kind of data can be accessed through Python Network?

Python Network provides access to high-fidelity and high-frequency market data for various assets, including cryptocurrencies, stocks, and commodities. This data is sourced from multiple providers, ensuring that it is accurate and up-to-date.

What role does Wormhole play in the integration of Python Network and Injective Test Network?

Wormhole is a platform that allows data to be transferred between chains, making it possible for Python Network to integrate with Injective Test Network. It ensures that data is transferred securely and efficiently, without compromising on privacy or decentralization.

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