awesome-blockchain VS MySQL

1. Blockchain https://cognitiveclass.ai/courses/blockchain-course https://github.com/yjjnls/awesome-blockchain https://cyprianaarons.hashnode.dev/blockchain-for-dummies-ckpihiqql02x5crs18kas0566 2. Solidity https://www.tutorialspoint.com/solidity/index.htm https://cryptozombies.io/ https://github.com/bkrem/awesome-solidity 3. Web3.js https://www.useweb3.xyz/ https://asiedu-dev.hashnode.dev/web30-a-down-to-earth-understanding-of-this-- new-raging-evolution 4. Ethereum https://www.tutorialspoint.com/ethereum/index.htm https://github.com/ttumiel/Awesome-Ethereum https://ethereum.org/en/developers/ https://ethereum.org/en/whitepaper/ 5. Dapps https://www.dappuniversity.com/ https://medium.com/heptagon/step-by-step-guide-to-build-a-dapp-a-homo-sapiens-2-day-love-affair-with-ethereum-dapp-de2b0dea12f1 6. Nft https://nftschool.dev/ https://github.com/gianni-dalerta/awesome-nft

> The 'dumbcoin' jupyter notebook is also a good reference: "Dumbcoin - An educational python implementation of a bitcoin-like blockchain" https://nbviewer.jupyter.org/github/julienr/ipynb_playground...

https://github.com/yjjnls/awesome-blockchain#implementation-... and https://github.com/openblockchains/awesome-blockchains#pytho... list a few more ~"blockchain from scratch" [in Python] examples.

... FWIU, Ethereum has the better Python story. There was a reference implementation of Ethereum in Python?

MySQL

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

MySQL is an open-source relational database management system (RDBMS) that stores, organizes, and accesses data in a structured format. The prerequisites section discussed Connecting your Boomi Atom runtime and MySQL on Docker, and this section will build on that knowledge.

Node.js, MySQL and PostgreSQL servers installed on your machine

I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.

MySQL: A widely-used open-source SQL database, MySQL is efficient for OLTP with its fast data processing and robustness. It is a go-to choice for web-based applications, e-commerce, and online transaction systems.

Our orders microservice will have its own set of teachnologies just like we earlier plotted that is mysql database and sequelize orm. MySQL is an open-source relational database management system (RDBMS) that is widely used for building web applications and managing data. It is a popular choice for many developers and organizations due to its performance, reliability, and ease of use. Sequelize is a popular Object-Relational Mapping (ORM) library for Node.js. It provides a way to interact with relational databases like MySQL, PostgreSQL, SQLite, and MSSQL using JavaScript or TypeScript. It simplifies database operations by allowing developers to use JavaScript objects to represent database tables and records, instead of writing raw SQL queries. In this microservice, we will use it to query our MySQL database.

Data Stores (Amazon RDS, MySQL, PostgreSQL)

Total.js, a powerful web framework for Node.js, simplifies web application development. Integrating databases like MySQL is crucial for building dynamic applications. In this tutorial, we'll explore how to seamlessly combine MySQL with __ Total.js__ using QueryBuilderMySQL. This intuitive tool streamlines database interactions, making it ideal for both beginners and experienced developers.