fullstack-tutorial README

The project's README from github.com/frank-lam/fullstack-tutorial. As one markdown file: README.md.


I II III IV V VI VII VIII IX X XI XII
算法
📝
Java
☕️
Python
🐍
前端
🔗
数据库
💾
操作系统
💻
网络通信
☁️
分布式
📃
机器学习
🔍
工具
🔨
Learn
📖
Talking
💡

✨✨✨

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前言

技能图谱

一、数据结构与算法

  排序算法、动态规划、递归、回溯法、贪心算法等

二、Java

  基本概念、面向对象、关键字、基本数据类型与运算、字符串与数组、异常处理、Object 通用方法

  数据结构 & 源码分析:ArrayList、Vector、LinkedList、HashMap、ConcurrentHashMap、HashSet、LinkedHashSet and LinkedHashMap

  线程状态、线程机制、线程通信、J.U.C 组件、JMM、线程安全、锁优化

  磁盘操作、字节操作、字符操作、对象操作、网络操作、NIO

  运行时数据区域、垃圾收集、内存分配机制、类加载机制、性能调优监控工具

  Java 常见的 10 余种设计模式,全 23 种设计模式逐步更新

  包含 Servlet & JSP、Spring、SpringMVC、Mybatis、Hibernate、Structs2 核心思想,如 IOC、AOP 等思想。SSM 更详细请转向:Spring | SpringMVC | MyBatis

三、Python

四、前端

TODO LIST
  • HTML5

  • CSS3

  • CSS 预处理

    • sass(scss)
    • less
    • stylus
  • CSS 框架

    • BootStarp
    • LayUI
  • JavaScript

    基础语法、进阶、ES6

  • JavaScript 框架

    • Vue
    • React
    • Angular
    • jQuery
  • Node

    常用 api、对象池、异常处理、进程通信、高并发

  • 静态类型检查

    • TypeScript
    • Flow
  • 构建/打包工具

    • webpack
    • gulp
    • rollup
  • 包管理工具

    • npm
    • yarn
  • 服务端渲染

    • koa2
    • express
    • nuxt
    • next

五、数据库

六、操作系统

  进程管理、死锁、内存管理、磁盘设备

  基础核心概念、常用命令使用

七、网络通信

  传输层、应用层(HTTP)、网络层、网络安全

八、分布式

【说明】分布式专题 笔者也在学习中,这里列举了一些技能列表,笔者将局部更新。敬请期待

TODO LIST
  • Kubernetes(k8s)

    容器化部署,管理云平台中多个主机上的容器化的应用

  • 云计算

    SaaS(软件即服务) 、PaaS(平台即服务) 、IaaS(基础架构即服务)

  • Zookeeper

    分布式协调服务,服务注册发现

  • Dubbo、Thrift(RPC 框架)

    分布式服务治理

  • 分布式事务解决方案

  • ActiveMQ、Kafka、RabbitMQ

    分布式消息通信

  • 熔断,限流,降级机制

  • Redis

    分布式缓存

  • Mycat

    数据库路由

  • Nginx

    反向代理

  • Tomcat

    Web Server 服务

  • DevOps

    自动化运维,持续集成、持续交付、持续部署

  • 分布式锁

    基于 Redis、MySQL、Zookeeper 的分布式锁实现

  • FastDFS

    轻量级分布式文件管理系统

  • Go

    并发的、带垃圾回收的、快速编译的语言

九、机器学习

十、工具

Learn 📖

  包含阅读清单,学习课程两部分

Talking :bulb:

本仓库致力于成为一个全栈开发爱好者的学习指南,给初学者一个更明确的学习方向,同时也是对自己技能的强化和巩固。在架构师这条路上,希望和大家一起成长,帮助更多的计算机爱好者能够有一个明确的学习路径。持续不间断的维护本仓库,也欢迎有更多的极客们加入。

都说好记性不如烂笔头,定期的学习和整理必然对学习巩固有所帮助,这里通过索引的方式对全栈开发技术做一个系统分类,方便随时巩固和学习,当然还有面试。在学习这条路上难免会有很多盲点和学不完的知识。有道无术,术尚可求,掌握好思维能力才能应对千变万化的技术。不要把大脑当成硬盘,也不要做高速运转的 CPU,而修行自己的大脑成为一个搜索引擎,学会分析解决问题。

Since 20,May,2018

Reference

个人的能力有限,在编写的过程中引用了诸多优秀的 GitHub 仓库。本项目的启发来自 @CyC2018 的学习笔记,是一个非常优秀的开源项目,在本仓库中部分内容引用文字和图例;引用了 @计算所的小鼠标 中对于 JCF 的源码分析和理解;引用了 阿里面试题总结 中全部的面试题,并对面经进行了整理勘误,并进行了知识拓展和修改;引用了 牛客网 上的面试经验贴。也引用了知乎上的热门回答和优秀博客的回答。在这里特别鸣谢,我将每篇文章中做外链引用说明。

文中我也推荐了学习的书籍和学习课程,都将附着上最高清、最形象的配图进行讲解。在文中的配图都来自自己绘制的、博客、Github、PDF书籍等等,这里没法一一感谢,谢谢你们。

推荐一些优秀的开源项目,供大家参考,reference。

Contributors

Thank you to all the people who already contributed to fullstack-tutorial !

Please make sure to read the Contributing Guide/如何给我的仓库贡献 before making a pull request.

Stargazers over time

Stargazers over time

License

知识共享许可协议

Copyright (c) 2021-present, Frank Lam

关于作者 :boy:

『作者简介』:https://www.frankfeekr.cn/author

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fullstack-tutorial (frank-lam/fullstack-tutorial)

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What is this?A free, Chinese-language collection of study notes for fullstack and backend engineers: twelve chapters from algorithms and Java to databases, distributed systems and machine learning, organized as a skill tree and geared toward interviews.
Is it a course you enroll in, a book, or a pile of links?Neither exactly — it is an indexed set of markdown study notes you read on GitHub, grouped by topic, with a LEARNLIST section that recommends books and courses. Nothing to install or sign up for.
How is the material organized, and where should I start?Twelve numbered chapters — algorithms, Java, Python, frontend, databases, operating systems, networking, distributed systems, machine learning, tools, plus Learn. The README opens with a preface on learning methodology and a backend skill map; start there and take chapters in order.
Which technologies does it actually cover?Java gets the most depth — collections with source-code analysis, concurrency, JVM, design patterns and the Spring stack — plus Python basics, a frontend track (Vue, React, webpack, TypeScript), MySQL and Redis, Docker, Kafka, Zookeeper and classic machine-learning algorithms.
Is every chapter finished, or are some still stubs?Some are in progress. The distributed-systems chapter is explicitly a work in progress — Kubernetes, Dubbo, distributed transactions and more sit on a TODO list — and parts of the frontend track are marked TODO too.
Is this aimed at students prepping for campus hiring, or working engineers?Mostly students and juniors: the description targets spring and fall campus recruiting and interviews, and the author frames the repo as a guide giving beginners a clear path toward backend or architect roles.
Can I reuse these notes in my own materials?There is no open-source license — the README carries only a copyright notice, so the content is free to read on GitHub but not formally licensed for reuse or redistribution.
How deep does the Java material go?Interview depth: collection-framework source analysis (HashMap, ConcurrentHashMap and friends), concurrency with JUC, the Java Memory Model and lock optimization, JVM internals from garbage collection to class loading, I/O, over ten design patterns with all 23 planned, plus the Servlet/Spring/MyBatis web stack.
Does it include real interview questions?Yes — the author compiled Alibaba interview questions, corrected and extended them, and mixed in interview experience posts from Nowcoder (牛客网), so the notes follow how these topics actually get asked in interviews.
Do I need to read Chinese to use it?Yes — all chapters, notes and interview material are written in Chinese, with technical terms kept in English, so reading Chinese is effectively required.
Beyond the notes, what else does it point to?The Learn section's LEARNLIST pairs a reading list with learning courses, and the tools chapter adds a Git guide with workflow comparisons, a regex cheatsheet, an intranet-tunneling walkthrough with ready-made Docker images, and notes on TDD and remote hot deployment.
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frank-lam
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Updated
CommitSep 03
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Commits · 90 Days