Blockchain Programming Smart Contract On Polygon
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Blockchain Programming Smart Contract on Polygon
Traditional database technologies present several challenges in recording financial transactions. As an example, this can be seen in the case of property sales, where the buyer's ownership is obtained after payment has been completed. Both buyers and sellers can record monetary transactions, but there is no reliable source. However, all parties can deny each other. Blockchain is a database that contains a history of whatever information it is designed to store. Blockchain consists of a series of information "blocks" built on top of one another in an immutable chain. This book guides developing Smart Contracts with Solidity, on Polygon. Ethereum is a lovely blockchain to work with, but the heavy traffic and many people building on it have made the network a bit congested. The 2nd layer solution to solving this problem by extending the scalability of Ethereum is with Polygon. Polygon is an Ethereum companion network with Ethereum security and lower gas fees.
Pemrograman Blockchain Smart Contract di Polygon
Blockchain adalah basis data yang berisi riwayat informasi apa pun yang dirancang untuk disimpan. Itu terdiri dari serangkaian “blok” informasi yang dibangun di atas satu sama lain dalam rantai yang tidak dapat diubah. EBook ini membahas pemrograman bloakchain, yaitu pengembangan Smart Contract dengan Solidity, pada Polygon. Polygon merupakan jaringan pendamping Ethereum dengan gas fee yang lebih rendah bersama dengan keamanan Ethereum.
The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)
Deep and machine learning is the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionise industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, etc. The ground-breaking technology of blockchain also enables decentralisation, immutability, and transparency of data and applications. This event aims to enable synergy between these areas and provide a leading forum for researchers, developers, practitioners, and professionals from public sectors and industries to meet and share the latest solutions and ideas in solving cutting-edge problems in the modern information society and the economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Some of the key topics of interest include (but are not limited to): Deep/Machine learning based models Statistical models and learning Data analysis, insights and hidden pattern Data visualisation Security threat detection Data classification and clustering Blockchain security and trust Blockchain data management