Search Results for "data mining project with code"

...Take advantage of the advanced features. Use macros and variables for easier updates. Upload your zones to multiple DNS providers. We make it easy to contribute by using GitHub, you can make code changes with confidence thanks to extensive integration tests. The project is newbie-friendly so jump right in! Maintain your DNS data as a high-level DS, with macros, and variables for easier updates.

Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy. High-performance, secure, permissioned blockchain network. Code written in Go, chaincode (smart contracts) in Go, Javascript, or Java, SDKs in Node.js, Java, Go, REST and Python....

...The architecture of Atomix incorporates the lessons learned from experience over the past decade of building high-availability cloud infrastructure. The primary focus of the project is to decouple applications from specific data stores, instead providing a set of unified, polyglot interfaces (gRPC services) to a variety of systems and protocols, and enabling rapid experimentation and customization of distributed applications. The Atomix runtime provides a unified API across numerous databases and protocols, decoupling application code from data stores to enable applications to be developed independently of the underlying architecture.

gophernotes is a Go kernel for Jupyter notebooks and nteract. It lets you use Go interactively in a browser-based notebook or desktop app. Use gophernotes to create and share documents that contain live Go code, equations, visualizations and explanatory text. These notebooks, with the live Go code, can then be shared with others via email, Dropbox, GitHub and the Jupyter Notebook Viewer. Go forth and do data science, or anything else interesting, with Go notebooks! This project utilizes a Go interpreter called gomacro under the hood to evaluate Go code interactively. ...

The API framework based on Gin's modular design encapsulates common functions, is easy to use, and is dedicated to rapid business development. For example, it supports cors cross-domain, jwt signature verification, zap log collection, panic exception capture, trace link tracking, prometheus monitoring indicators, swagger document generation, viper configuration file parsing, gorm database components, gormgen code generation tools, graphql query language, errno uniformly defines error codes,...

There are many ways to write a (RESTful) backend in Go. Most of the available tutorials are way too simple, with all the presented content fitting into a single file (or at most two-three). More complex examples are quite rare, and even most of them miss lots of things for the sake of reducing complexity. That’s one of the reasons I wrote Gorsk - to have a fully functional example of a RESTful backend (in Golang) utilizing best practices, idiomatic code, and minimal dependencies. Instead of...