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A list of awesome resources
https://github.com/DongchaoChen/awesome

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A list of awesome resources

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# Awesome
A list of awesome resources for my own usage. You can refer to [awesome](https://github.com/sindresorhus/awesome) for the big awesome lists.

## Contents
- [Architecture Design](#architecture-design)
- [Agile](#agile)
- [Artificial Intelligence](#artificial-intelligence)
- [Machine Learning](#machine-learning)
- [Big Data](#big-data)
- [Data Science](#data-science)
- [Programming Languages](#programming-languages)
* [Java](#java)
* [Spring](#spring)
* [Scala](#scala)
* [JavaScript](#javascript)
* [General](#general)
* [Angular](#angular)
* [AngularJS](#angularjs)
* [BackboneJS](#backbonejs)
* [React](#react)
* [VueJS](#vuejs)
* [NodeJS](#nodejs)
* [Go](#go)
* [Bash](#bash)
* [PowerShell](#powershell)
- [Cloud](#cloud)
* [AWS](#aws)
* [Azure](#azure)
* [Google Cloud](#google-cloud)
- [Containers](#containers)
* [Docker](#docker)
- [Network](#network)
* [NSO](#nso)
- [Test](#test)
* [Jest](#jest)
- [Databases](#databases)
* [Cassandra](#cassandra)
- [CI and CD](#ci-and-cd)
- [Virtualization](#virtualization)
* [Virtual Machine](#virtual-machine)
- [Version Tools](#version-tools)
- [Coding Challenge](#coding-challenge)
- [Dev Tools](#dev-tools)
- [Security](#security)
* [Hack Tools](#hack-tools)
- [Web](#web)
- [References](#references)

## Architecture Design
* [The System Design Primer](https://github.com/donnemartin/system-design-primer) - learn how to design large-scale systems.
* [Swagger Core library](https://github.com/swagger-api/swagger-core)

## Agile
* [Scaled Agile](https://www.scaledagileframework.com/)

## Artificial Intelligence
* [Microsoft AI track training](https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence/)
* [Microsoft AI blog](https://blogs.microsoft.com/ai/)
* [AI School](https://aischool.microsoft.com/learning-paths)

## Machine Learning
* [Friendly Machine Learning for the Web](https://ml5js.org/)

## Big Data
* [Microsoft Big Data track training](https://academy.microsoft.com/en-us/professional-program/tracks/big-data/)

## Data Science
* [Microsoft Data Science track training](https://academy.microsoft.com/en-us/professional-program/tracks/data-science/)

## Programming Languages

### Java

#### Spring
* [Spring Guides](https://github.com/spring-guides) - repositories behind the Getting Started and Tutorial guides at spring.io
* [spring-boot-testing-strategies](https://github.com/mechero/spring-boot-testing-strategies)

### Scala
* [Scala-Style-Guide](https://github.com/databricks/scala-style-guide) - the most updated Scala Style Coding Guide

### JavaScript
* [MDN JavaScript Guide](https://developer.mozilla.org/bm/docs/Web/JavaScript/Guide)
* [airbnb/javascript](https://github.com/airbnb/javascript) - AirBnb Javascript Style Guide

#### General
* [module can I use it](https://caniuse.com/#search=modules)

#### Angular
* [Angular](https://angular.io/)

#### AngularJS
* [AngularJS](https://angularjs.org/)

#### BackboneJS
* [BackboneJS](http://backbonejs.org/)

#### React
* [React](https://reactjs.org/)

#### VueJS
* [VueJS](https://vuejs.org/)

### NodeJS
* [javascript-conferences](https://github.com/tech-conferences/javascript-conferences) - List of conferences for frontend and Node.js developers https://confs.tech/

### Go

### Bash
* [The Bash Hackers Wiki](http://wiki.bash-hackers.org)
* [Linux Shell Scripting](https://bash.cyberciti.biz/guide/Main_Page)
* [koalaman/shellcheck](https://github.com/koalaman/shellcheck) - a nice static analysis tool

### PowerShell
* [PowerShell Conference Europe](https://github.com/psconfeu)

## Cloud

### AWS
* [AWS awesome](https://github.com/donnemartin/awesome-aws)
* [AWS cloud stack](https://github.com/localstack/localstack) - A fully functional local AWS cloud stack. Develop and test your cloud apps offline!
* [AWS Quick Start](https://github.com/aws-quickstart) - Automated gold-standard deployment on AWS

### Azure
* [AzureBootCamp2018-Montreal/Ottawa](https://github.com/MSDEVMTL/GlobalAzureBootcamp2018)
* [Azure Cosmos DB training session](https://azure.microsoft.com/en-us/blog/get-started-with-azure-cosmos-db-through-this-technical-training-series/)
* [Azure PowerShell](https://github.com/Azure/azure-powershell)
* [Azure docs](https://docs.microsoft.com/en-us/azure/)

### Google Cloud

## Containers
### Docker
- [Docker Tips, Tricks and Tutorials](https://nickjanetakis.com/blog/tag/docker-tips-tricks-and-tutorials)
- [Play with Docker Classroom](https://training.play-with-docker.com/)
- [Docker Ottawa Meetup](https://github.com/DockerOttawaMeetup)

### Kubernetes
- [linki/chaoskube](https://github.com/linki/chaoskube) - chaoskube periodly kills random pods in your K8s cluster
- [bitnami-labs/sealed-secrets](https://github.com/bitnami-labs/sealed-secrets) - A K8s controller and tool for one-way encrypted secrets.
- [bitnami-labs/kubectl-import](https://github.com/bitnami-labs/kubectl-import)

## Network
### NSO
- [NSO developer](https://github.com/NSO-developer)

## Test
### Jest
* [awesome-jest](https://github.com/jest-community/awesome-jest)
* [jest-cheat-sheet](https://github.com/sapegin/jest-cheat-sheet)

## Databases

### Cassandra
* [CQL for Cassandra 3.0](https://docs.datastax.com/en/cql/3.3/)

## CI and CD
Continuous Integration (CI) and Continuous Delivery (CD)
* [Concourse](https://concourse.ci/) - a pipeline-based CI system written in Go
* [Spinnaker](https://www.spinnaker.io/) - multi-cloud continuous delivery platform

## Virtualization

### Virtual Machine
* [OSBoxes](www.osboxes.org/debian/)
* [Vim Cheat Sheet](https://vim.rtorr.com/)

## Version Tools
* [Gogs](https://gogs.io/) - A painless self-hosted Git service

## Coding Challenge
* [interactive-coding-challenges](https://github.com/donnemartin/interactive-coding-challenges)

## Dev Tools
* [RegExr](https://regexr.com/) - for regular expression

## Security
### Hack Tools
* [mimikatz](https://github.com/gentilkiwi/mimikatz) - A little tool play with Windows Security

## Web
### Create Site
* [facebook/Docusaurus](https://github.com/facebook/Docusaurus) - Easy to maintain open source documentation websites

## References
* [awesome-cheatsheets](https://github.com/LeCoupa/awesome-cheatsheets)