Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/wx-chevalier/Awesome-Lists-and-CheatSheets

:books: Guide to Galaxy, curated, worthy and up-to-date links/reading List, CheatSheets, MindMaps for ITCS-Coding/Algorithm/SoftwareArchitecture/AI. :dizzy: ITCS-编程/算法/软件架构/人工智能等领域的文章/书籍/资料/项目链接精选，岁月沉淀的美好
https://github.com/wx-chevalier/Awesome-Lists-and-CheatSheets

List: Awesome-Lists-and-CheatSheets

awesome awesome-list awesome-lists

Last synced: 14 days ago
JSON representation

Host: GitHub
URL: https://github.com/wx-chevalier/Awesome-Lists-and-CheatSheets
Owner: wx-chevalier
License: other
Created: 2018-02-02T13:33:05.000Z (almost 7 years ago)
Default Branch: master
Last Pushed: 2024-08-23T03:13:24.000Z (3 months ago)
Last Synced: 2024-08-23T17:20:16.172Z (3 months ago)
Topics: awesome, awesome-list, awesome-lists
Language: Python
Homepage: https://ng-tech.icu/books/Awesome-Lists
Size: 19.8 MB
Stars: 615
Watchers: 36
Forks: 89
Open Issues: 6
Metadata Files:
- Readme: README-en.md
- License: LICENSE

Awesome Lists containing this project

README

        ![](https://parg.co/Uhb)

[中文版本](./README.md) | [English Version](./README-en.md)

# [Awesome Lists: Systematic & Structured Guide to Galaxy](https://github.com/wx-chevalier/Awesome-List/blob/master/README-en.md)

`Copyright © 王下邀月熊 - WxChevalier` [![Awesome](https://parg.co/UvS)](https://github.com/wx-chevalier/Awesome-Lists)

Everyone may be very familiar with the so-called awesome list:

> An awesome list is a list of awesome things curated by the community, about everything from CLI applications to fantasy books. Just like other thousands of awesome lists,

[Awesome Lists](https://github.com/wx-chevalier/Awesome-List/blob/master/README-en.md) collects curated, worthy and up-to-date links for ITCS, including Programming Language(Java, JavaScript, Python, Go, Rust, etc.), Software Engineering, Backend(Spring, Nginx, MicroServices, etc.), Infrastructure(Database, Network, etc.), InfoSecurity & Penetration, Industrial Application, DataScienceAI(Statistics, Machine Learning, Deep Learning, NLP, CV), Frontend Technology(iOS, Android, RN, Electron), etc. Note that I've attempted to order the books in order of most "tackleable". So the idea is to read books from top to bottom.

What's the difference between [Awesome Lists](./) and others?

- All lists are organized in a systematic and structured way, keep to my Ultimate Knowledge Graph(see below).

- Links in single list are ordered mannualy, seperated into multiple sections: Overview, Resources(Books, Course, etc), Tutorial, etc.

## Navigation

Finally, Let these lists speak for themselves:

- If you wan't to learn Web Development, you may like [DOM List](./Web/Syntax/DOM/DOM-List.md), [CSS List](./Web/Syntax/CSS/CSS-List.md), [React List](./Web/Framework/React/React-List.md), [Redux List](./Web/Framework/Redux/Redux-List.md), [Vue List](./Web/Framework/Vue/Vue-List.md), [PWA List](./Web/Tuning/PWA/Web-PWA-List.md), [Web Performance List](./Web/Tuning/Performance/Web-Performance-List.md), [WebAssembly List](), etc.

- If you wan't to learn Java, Go, MicroService... you may like [Java List](./Web/Syntax/DOM/DOM-List.md), [JVM List](./ProgrammingLanguage/Java/JVM/JVM-List.md), [Go List](./ProgrammingLanguage/Go/Go-List.md), [MicroService List](./Backend/MicroService/MicroService-List.md), [Spring List](./Backend/WebFramework/Java/Spring/Spring-List.md), [DevOps List](./Backend/DevOps/DevOps-List.md), etc.

- If you wan't to learn Distributed System, Database, Concurrent Programming... you may like [Docker List](./Infrastructure/Virtualization/Container/Docker/Docker-List.md), [Kubernetes List](./Infrastructure/Virtualization/Orchestration/Kubernetes/Kubernetes-List.md), [Linux List](./Infrastructure/OS/Linux/Linux-List.md), [HTTP List](./Infrastructure/Network/HTTP/HTTP-List.md), [Distributed System List](), [Blockchain List](./Infrastructure/DistributedSystem/Blockchain/Blockchain-List.md), [Flink List](./Infrastructure/DistributedComputing/Streaming/Flink/Flink-List.md), [Kafka List](./Infrastructure/DistributedComputing/MOM/Kafka-List.md), [Database List](./Infrastructure/Database/Database-List.md), [MySQL List](./Infrastructure/Database/RDB/MySQL/MySQL-List.md), [PostgreSQL List](./Infrastructure/Database/RDB/PostgreSQL/PostgreSQL-List.md), etc.

- If you wan't to learn AI, DeepLearning, TensorFlow... you may like [DataScienceAI Book List](./DataScienceAI/DataScienceAI-Book-List.md), [DataScienceAI Course List](./DataScienceAI/DataScienceAI-Course-List.md), [Machine Learning List](./DataScienceAI/MachineLearning/MachineLearning-List.md), [Deep Learning List](./DataScienceAI/DeepLearning/DeepLearning-List.md), [NLP List](./DataScienceAI/NLP/NLP-List.md), [TensorFlow List](./DataScienceAI/Toolkit/TensorFlow/TensorFlow-List.md), [PyTorch List](./DataScienceAI/Toolkit/PyTorch/PyTorch-List.md), etc.

You can use [NGTE Website](https://https:wx-chevalier.github.io/home/#/search?query=React) for searching in Web or [alfred-sg](https://github.com/wx-chevalier/xCompass/blob/master/soogle/alfred-sg/) for searching in MAC.

## Knowledge Graph

![](https://github.com/wx-chevalier/Developer-Zero-To-Mastery/blob/master/技术之路/MindMap/MindMap.summary.png?raw=true)

There are massive curated links to help you study anything about heading first, with tutorials, practices, opensource, courses, books, etc. Each domain may contain the following files:

- {Something}-List.md - This file may contain or separate into the following:

  - Overview & Case Study & CheatSheet

  - Resource & Book & Collection

  - Tutorial & Learning Path

- {Something}-Syntax-List.md - This file may contain or separate into the following:

  - Variable & Expression

  - Control flow & Error Handler

  - Function & Functional Programming

  - Class & Object

  - MetaProgramming

- {Something}-DataStructure-List.md - This file may contain or separate into the following:

  - Basic Type

  - Indexed Collection

  - Keyed Collection

- {Something}-Functionality-List.md - This file may contain or separate into the following:

  - Storage

  - Network

  - System / Process

- {Something}-DevOps-List.md - This file may contain or separate into the following:

  - Builder, Task runner, Bundler, dependence management

  - Debug

  - Test, unit test, integration test, e2e test

  - Architecture, module system, State management,

  - StyleGuide, coding standards for source code in the JavaScript programming language.

- {Something}-Production-List.md - This file may contain or separate into the following:

  - Performance Optimization / Tunning

  - Release / Deploy

  - Accessibility / Monitor

  - RealTime

  - I18n

- {Something}-OpenSource-List.md - Awesome tools, frameworks, projects

- {Something}-Internals-List.md Inner mechanism under the hood, Core/Compiler/Engine

# About

## Template

允许中英文混排，必须英文在前，中文在后，并且使用 | 进行分割。

- {Something}-List

This file aggregates curated popular links for learning Redux. More reference about ITCS can turn to [AwesomeList: Guide to Galaxy](https://github.com/wx-chevalier/Awesome-Lists), which collects valuable, popular and up-to-date links for CS, including Programming Language, Software Engineering, Server Side Application, Infrastructure, InfoSecurity, Industrial Application, DataScienceAI, Frontend Technology(iOS, Android, RN, Electron), etc.

本文是对于 {Something} 综述性资料的集锦，其子目录还归档了 []() 等相关资料索引。

- {Something}-OpenSource-List