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 ac
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. Explanation of Cosmos ecological smart contract platform
B. Announcement of the integration with Python Network
II. What is Python Network?
A. Innovative on-demand pull model oracle
B. Access to high-fidelity and high-frequency market data
III. How does Python Network integrate with Cosmos?
A. Pushing available prices onto the chain when needed
B. Enabling everyone in the blockchain environment to access data
C. Implementation by Wormhole on Injective
IV. Benefits of the Integration
A. Access to a wider range of data
B. Improved data accuracy and speed
V. Conclusion
A. Significance of the integration
B. Future implications for the blockchain industry
VI. FAQ
A. What is the significance of high-fidelity and high-frequency market data?
B. How does the integration of Python Network and Cosmos benefit developers?
C. What are the potential challenges of implementing Python Network on the blockchain?
# On-Demand Market Data: Injective Test Network Integrates with Python Network
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 marks the first time Python data supports the Cosmos ecosystem, and represents a significant step forward for data accessibility and accuracy in the blockchain world.
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. Its integration with Cosmos means that users of the Injective Test Network can now have access to Python data, thereby widening the range of data available on the platform.
How Does Python Network Integrate with Cosmos?
Python Network is implemented by Wormhole on Injective, and 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 streamlined process allows for greater ease of access and improved data accuracy and speed.
Benefits of the Integration
The integration of Python Network and Cosmos brings a number of benefits to the blockchain industry. By allowing developers to access a wider range of data, DApps can be designed with greater specificity and effectiveness. Additionally, the seamless integration means that data accuracy and speed are improved, making for a more effective and efficient blockchain ecosystem overall.
Conclusion
The integration of Python Network and Cosmos represents a significant step forward for the blockchain industry, as it allows for greater access to high-fidelity and high-frequency market data, thereby improving the accuracy and speed of blockchain transactions. This integration has important implications for the future of blockchain technology, suggesting that data accessibility and accuracy will be key features of the next stage of blockchain development.
FAQ
1. What is the significance of high-fidelity and high-frequency market data?
High-fidelity and high-frequency market data is crucial for effective blockchain transactions, as it enables developers to make more informed decisions about the buying and selling of assets. This data is also useful for identifying patterns and trends in the market, which can be valuable for making predictions about future market behavior.
2. How does the integration of Python Network and Cosmos benefit developers?
The integration of Python Network and Cosmos means that developers have access to a wider range of data, which can be used to make more informed decisions about asset trading. This data can also be used to design more effective DApps, which can be optimized for specific use cases.
3. What are the potential challenges of implementing Python Network on the blockchain?
Implementing Python Network on the blockchain may be challenging, as it requires the use of specific technical tools and expertise. Additionally, there may be concerns about data privacy and security, which must be addressed in order to ensure that user data is protected.
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