VSCode-Guide

VSCode Guide
https://github.com/mikeroyal/VSCode-Guide

Last synced: 10 days ago
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Ruby Tools and Frameworks
- JavaScript Libraries for Machine Learning
Rust Learning Resources
- JavaScript Libraries for Machine Learning
Rust Tools
- JavaScript Libraries for Machine Learning
  - Crater
  - Wasmer - integrations).
  - Vector - performance, end-to-end (agent & aggregator) observability data platform that puts the user in control of their observability data.
  - Chalk - like logic solver.
  - stdarch - specific APIs and run-time feature detection.
  - Krustlet - and-toleration/). The project is currently experimental.
  - Cargo
  - VSCode-Rust - either by the official Rust Language Server (RLS) or rust-analyzer, depending on the user's preference. If you don't have it installed, the extension will install it for you (with permission). This extension is built and maintained by the Rust IDEs and editors team with the focus on providing a stable, high quality extension that makes the best use of the respective language server.
  - Apache Arrow - memory analytics. It contains a set of technologies that enable big data systems to process and move data fast. Arrow's libraries are available for C, C++, C#, Go, Java, JavaScript, MATLAB, Python, R, Ruby, and Rust.
  - Tokio - driven, non-blocking I/O platform for writing asynchronous applications with the Rust programming language.
  - TiKV - source distributed transactional key-value database that also provides classical key-vlue APIs, but also transactional APIs with ACID compliance.
  - Hyper
  - Rocket
  - Clippy
  - Servo
  - RustPython
  - Miri - level intermediate representation. It can run binaries and test suites of cargo projects and detect certain classes of undefined behavior. Miri will alsowill also tell you about memory leaks: when there is memory still allocated at the end of the execution, and that memory is not reachable from a global static, Miri will raise an error.
  - Simpleinfra
  - Rustlings
  - Firecracker - built for creating and managing secure, multi-tenant container and function-based services that provide serverless operational models. Firecracker runs workloads in lightweight virtual machines, called microVMs, which combine the security and isolation properties provided by hardware virtualization technology with the speed and flexibility of containers. Firecracker has also been integrated in container runtimes, for example [Kata Containers](https://github.com/kata-containers/documentation/wiki/Initial-release-of-Kata-Containers-with-Firecracker-support) and [Weaveworks Ignite](https://github.com/weaveworks/ignite).
  - Sonic - less search backend similar to Elasticsearch in some use-cases.
Scala Learning Resources
- JavaScript Libraries for Machine Learning
  - Scala - oriented and functional programming in one concise, high-level language. Scala's static types help avoid bugs in complex applications, and its JVM and JavaScript runtimes let you build high-performance systems with easy access to huge ecosystems of libraries.
  - Scala Style Guide
  - Creating a Scala Maven application for Apache Spark in HDInsight using IntelliJ
  - Using Scala to Program AWS Glue ETL Scripts
  - Using Flink Scala shell with Amazon EMR clusters
  - AWS EMR and Spark 2 using Scala from Udemy
  - Scala Courses from Coursera
  - Using the Google Cloud Storage connector with Apache Spark
  - Write and run Spark Scala jobs on Cloud Dataproc for Google Cloud
  - Scala Courses and Certifications from edX
  - Top Scala Courses from Udemy
  - Databricks Scala Style Guide
  - Data Science using Scala and Spark on Azure
  - Creating a Scala Maven application for Apache Spark in HDInsight using IntelliJ
  - Intro to Spark DataFrames using Scala with Azure Databricks
Scala Tools, Libraries, and Frameworks
- JavaScript Libraries for Machine Learning
  - Azure Databricks - based big data analytics service designed for data science and data engineering. Azure Databricks, sets up your Apache Spark environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn.
  - Scala Syntax (official)
  - ScalaScript
  - IntelliJ IDEA Scala plugin
  - ScalaTest™
  - ScalaMock - time reflection to create type safe code or manipulate programs.
  - Scala Native - of-time compiler and lightweight managed runtime designed specifically for Scala.
  - Gitbucket
  - Gatling - Sent-Events and JMS.
  - Apache PredictionIO
  - BigDL
  - Eclipse Deeplearning4J (DL4J) - based(Scala, Kotlin, Clojure, and Groovy) deep learning application. This means starting with the raw data, loading and preprocessing it from wherever and whatever format it is in to building and tuning a wide variety of simple and complex deep learning networks.
  - Scala.js
  - Polynote
  - Scalatra - performance, async web framework, inspired by [Sinatra](https://www.sinatrarb.com/).
  - Metals
  - WartRemover
  - Mill
  - Bloop
  - Scapegoat
  - AWScala
  - Apache Spark Connector for SQL Server and Azure SQL - performance connector that enables you to use transactional data in big data analytics and persists results for ad-hoc queries or reporting. The connector allows you to use any SQL database, on-premises or in the cloud, as an input data source or output data sink for Spark jobs.
  - Cluster Manager for Apache Kafka(CMAK)
  - Play Framework
  - ScalaTest™
  - Dotty
  - Scala Native - of-time compiler and lightweight managed runtime designed specifically for Scala.
  - Finagle - agnostic RPC system
Setting up WSL Linux Distributions
SQL/NoSQL Learning Resources
- Interfaces
  - SQL
  - Transact-SQL(T-SQL) - SQL commands.
  - Introduction to Transact-SQL
  - SQL Tutorial by W3Schools
  - Learn SQL Skills Online from Coursera
  - SQL Courses Online from Udemy
  - SQL Online Training Courses from LinkedIn Learning
  - Learn SQL For Free from Codecademy
  - GitLab's SQL Style Guide
  - OracleDB SQL Style Guide Basics
  - Databases on AWS
  - Best Practices and Recommendations for SQL Server Clustering in AWS EC2.
  - Connecting from Google Kubernetes Engine to a Cloud SQL instance.
  - MySQL Certifications
  - What is NoSQL?
  - Tableau CRM: BI Software and Tools
  - NoSQL - SQL" to highlight that the database can handle huge volumes of rapidly changing, unstructured data in different ways than a relational (SQL-based) database with rows and tables.
SQL/NoSQL Tools and Databases
- Interfaces
  - Apache Spark - in modules for streaming, SQL, machine learning and graph processing.
  - DBeaver
  - MSSQL for Visual Studio Code
  - SQL Server Migration Assistant
  - SQL Server Business Intelligence(BI)
  - Tableau - releases/press-release-details/2019/Salesforce-Completes-Acquisition-of-Tableau/default.aspx).
  - DataGrip - sensitive code completion, helping you to write SQL code faster. Completion is aware of the tables structure, foreign keys, and even database objects created in code you're editing.
  - MySQL - native applications using the world's most popular open source database.
  - PostgreSQL - relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance.
  - Amazon DynamoDB - value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed, multiregion, multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications.
  - Apache HBase™ - source, NoSQL, distributed big data store. It enables random, strictly consistent, real-time access to petabytes of data. HBase is very effective for handling large, sparse datasets. HBase serves as a direct input and output to the Apache MapReduce framework for Hadoop, and works with Apache Phoenix to enable SQL-like queries over HBase tables.
  - ElasticSearch - capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java.
  - Trino - us/azure/architecture/data-guide/relational-data/etl), allow them all to use standard SQL statement, and work with numerous data sources and targets all in the same system.
  - Extract, transform, and load (ETL)
  - Redis(REmote DIctionary Server) - memory data structure store, used as a database, cache, and message broker. It provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
  - FoundationDB - value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. FoundationDB was acquired by [Apple in 2015](https://techcrunch.com/2015/03/24/apple-acquires-durable-database-company-foundationdb/).
  - MongoDB - like documents.
  - OracleDB - critical data with the highest availability, reliability, and security.
  - MariaDB - critical applications.
  - SQLite - language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine.SQLite is the most used database engine in the world. SQLite is built into all mobile phones and most computers and comes bundled inside countless other applications that people use every day.
  - SQLite Database Browser
  - InfluxDB - us/azure/architecture/data-guide/relational-data/etl) or monitoring and alerting purposes, user dashboards, Internet of Things sensor data, and visualizing and exploring the data and more. It also has support for processing data from [Graphite](http://graphiteapp.org/).
  - CouchbaseDB - model NoSQL document-oriented database](https://en.wikipedia.org/wiki/Multi-model_database). It creates a key-value store with managed cache for sub-millisecond data operations, with purpose-built indexers for efficient queries and a powerful query engine for executing SQL queries.
  - dbWatch - premise, hybrid/cloud database environments.
  - Cosmos DB Profiler - time visual debugger allowing a development team to gain valuable insight and perspective into their usage of Cosmos DB database. It identifies over a dozen suspicious behaviors from your application’s interaction with Cosmos DB.
  - Toad - in expertise. This SQL management tool resolve issues, manage change and promote the highest levels of code quality for both relational and non-relational databases.
  - Sequel Pro
  - Netdata - fidelity infrastructure monitoring and troubleshooting, real-time monitoring Agent collects thousands of metrics from systems, hardware, containers, and applications with zero configuration. It runs permanently on all your physical/virtual servers, containers, cloud deployments, and edge/IoT devices, and is perfectly safe to install on your systems mid-incident without any preparation.
  - Azure Data Studio
  - Azure SQL Managed Instance - premises applications to the cloud with very few application and database changes. Managed instance has split compute and storage components.
  - Hadoop Distributed File System (HDFS) - yarn/hadoop-yarn-site/YARN.html).
  - Logstash
  - Kibana
  - Atlas - memory dimensional [time series database](https://en.wikipedia.org/wiki/Time_series_database).
  - Azure SQL Database - powered and automated features that optimize performance and durability for you. Serverless compute and Hyperscale storage options automatically scale resources on demand, so you can focus on building new applications without worrying about storage size or resource management.
  - Adminer
Svelte Learning Resources
- JavaScript Libraries for Machine Learning
Svelte Tools, Libraries, and Frameworks
- JavaScript Libraries for Machine Learning
  - Svelte Language Tools
  - SvelteKit
Swift Learning Resources
- JavaScript Libraries for Machine Learning
  - Swift - C.
  - Xcode + Swift
  - Swift 5.3 Basics
  - Apple Developer Documentation
  - Apple Foundation Framework
  - Apple Core Animation Framework
  - Apple Core Graphics Framework
  - Getting Started with LLDB
  - Amazon EC2 Mac Instances
  - Apple Developer Forums
  - Swift Forums
  - Swift Courses Online from Coursera
  - Swift Courses Online from Udemy
  - Learning Swift course from Codecademy
  - Swift - C.
  - Swift Evolution - visible enhancements to the Swift Programming Language.
  - Swift GitHub
  - Google's Swift Style Guide
  - Start Developing iOS Apps with Swift
  - Mac Catalyst - iOS - Human Interface Guidelines
Swift Tools and Frameworks
- JavaScript Libraries for Machine Learning
  - AppCode - fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages.
  - SwiftUI
  - UIKit - Touch and other types of input to your app, and the main run loop needed to manage interactions among the user, the system, and your app.
  - AppKit
  - ARKit - reality apps for iOS developed by Apple. The latest version ARKit 3.5 takes advantage of the new LiDAR Scanner and depth sensing system on iPad Pro(2020) to support a new generation of AR apps that use Scene Geometry for enhanced scene understanding and object occlusion.
  - RealityKit - performance 3D simulation and rendering with information provided by the ARKit framework to seamlessly integrate virtual objects into the real world.
  - Mac Catalyst
  - Instruments - analysis and testing tool that’s part of the Xcode tool set. It’s designed to help you profile your iOS, watchOS, tvOS, and macOS apps, processes, and devices in order to better understand and optimize their behavior and performance.
  - Cocoapods - C used in Xcode projects by specifying the dependencies for your project in a simple text file. CocoaPods then recursively resolves dependencies between libraries, fetches source code for all dependencies, and creates and maintains an Xcode workspace to build your project.
  - Vapor
  - Hero
  - Kingfisher - Swift library for downloading and caching images from the web. It provides you a chance to use a pure-Swift way to work with remote images in your next app.
  - Perfect - facing and server-side applications.
  - Alamofire
  - Eureka
  - Carthage
  - ReactiveCocoa
  - Xcode - based CPUs and Apple Silicon. It includes a unified macOS SDK that features all the frameworks, compilers, debuggers, and other tools you need to build apps that run natively on Apple Silicon and the Intel x86_64 CPU.
  - Realm - C.
  - Mac Catalyst
Terraform Learning Resources
- Terraform Documentation

Programming Languages

TypeScript 26 JavaScript 23 Go 20 Python 19 C# 15 Rust 14 C++ 11 Scala 10 Clojure 9 Swift 8

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Data

Tools

Indexes

Applications

Experiments

Awesome

VSCode-Guide

Ruby Tools and Frameworks

JavaScript Libraries for Machine Learning

Rust Learning Resources

JavaScript Libraries for Machine Learning

Rust Tools

JavaScript Libraries for Machine Learning

Scala Learning Resources

JavaScript Libraries for Machine Learning

Scala Tools, Libraries, and Frameworks

JavaScript Libraries for Machine Learning

Setting up WSL Linux Distributions

SQL/NoSQL Learning Resources

Interfaces

SQL/NoSQL Tools and Databases

Interfaces

Svelte Learning Resources

JavaScript Libraries for Machine Learning

Svelte Tools, Libraries, and Frameworks

JavaScript Libraries for Machine Learning

Swift Learning Resources

JavaScript Libraries for Machine Learning

Swift Tools and Frameworks

JavaScript Libraries for Machine Learning

Terraform Learning Resources