程序员技能图谱和练级攻略

程序员需要不断学习，嗨网收集了部分领域的技能图谱，详见嗨网相关网页。本篇旨在汇集、整理、共建泛 IT 技术领域（人工智能，前端开发，移动开发，云计算，大数据，架构，运维，安全，后端开发，测试，智能硬件等）及互联网产品、运营等领域学习技能图谱，帮助程序员梳理知识框架结构，并尝试提供路径指导和精华资源，方便技术人学习成长为相关专家。

入门

• [ ] Teach Yourself Programming in Ten Years
• [ ] The Key To Accelerating Your Coding Skills
• [ ] What are some of the most basic things every programmer should know?

程序员修养

• 英文能力
• 问问题的能力
  • [ ] How To Ask Questions The Smart Way,简体中文版
  • [ ] The XY Problem
• 写代码的修养
  • [ ] 重构：改善既有代码的设计
  • [ ] 修改代码的艺术
  • [ ] 代码整洁之道
  • [ ] 程序员职业素养
• Code Review
  • [ ] Code Review Best Practices
  • [ ] How Google Does Code Review
• 安全防范
  • [ ] OWASP
  • [ ] OWASP Top Ten
  • [ ] 防御性编程
• 软件工程和上线
  • [ ] Google软件测试之道
  • [ ] Serverside checklist

专业基础篇

编程语言

Java

• [ ] Effectic Java
• [ ] Java并发编程实战
• [ ] Java性能权威指南
• [ ] 深入理解Java虚拟机（第3版）
• [ ] Java编程思想
• [ ] 精通Spring 4.x
• [ ] 设计模式

C/C++

• [ ] C程序设计语言
• [ ] C语言程序设计现代方法
• [ ] C++ Primer 中文版（第 5 版）
• [ ] Effective C++
• [ ] More Effective C++（中文版
• [ ] 深度探索C++对象模型
• [ ] Bjarne Stroustrup's FAQ（中文版）

Go

• [ ] Go by Example
• [ ] Go 101
• [ ] The Go Programming Language
• [ ] Effective Go
• [ ] Go精华文章列表

理论学科

• [ ] 算法
• [ ] 算法图解
• [ ] 算法导论
• [ ] 编程珠玑
• [ ] LeetCode
• Data Structure Visualizations
• [ ] 数据结构与算法分析
• [ ] 数据库系统概念
• [ ] 现代操作系统
• [ ] 计算机网络（第4版）
• [ ] 计算机程序的构造和解释
• [ ] 编译原理

系统知识

• [ ] 深入理解计算机系统
• [ ] UNIX环境高级编程
• [ ] UNIX网络编程
• [ ] TCP/IP详解 卷1：协议
• [ ] Linux C编程一站式学习
• [ ] TCP/IP网络编程
• [ ] 图解TCP/IP（第5版）
• [ ] The TCP/IP Guide

软件设计

• [ ] 编程范式
• [ ] Six programming paradigms that will change how you think about coding
• [ ] Programming Paradigms forDummies: What EveryProgrammer Should Know
• [ ] 领域驱动设计
• [ ] UNIX编程艺术
• [ ] The Clean Architecture
• [ ] The Twelve-Factor App
• [ ] 避免过度设计
• [ ] Instagram Engineering’s 3 rules to a scalable cloud application architecture
• [ ] How to Design a Good API & Why it Matters
• [ ] The Problem With Logging
• [ ] Concurrent Programming for Scalable Web Architectures

高手成长篇

Linux系统内存和网络

• Linux

• [ ] Linux Insides

• [ ] LWN’s kernel page

• [ ] 从安卓角度理解Linux

• [ ] Linux内核文档

• [ ] IBM红皮书

• [ ] Linux Performance

• [ ] Optimizing web servers for high throughput and low latency

• 内存

• [ ] What Every Programmer Should Know About Memory

• [ ] Memory Barriers: a Hardware View for Software Hackers

• [ ] x86-TSO: A Rigorous and Usable Programmer’s Model for x86 Multiprocessors

• [ ] ptmalloc

• [ ] Google 的内存分配管理模块

• [ ] C Dynamic Memory Allocation

• [ ] ptmalloc,tcmalloc和jemalloc内存分配策略研究

• [ ] 内存优化总结:ptmalloc、tcmalloc和jemalloc

• [ ] Scalable memory allocation using jemalloc

• [ ] Decreasing RAM Usage by 40% Using jemalloc with Python & Celery

• 计算机网络

• [ ] 计算机网络（第5版）

• [ ] Computer Network Design

• [ ] Computer Network Tutorials

• 网络调优

• [ ] Linux Advanced Routing & Traffic Control

• [ ] Red Hat Enterprise Linux Network Performance Tuning Guide

• [ ] awesome-pcaptools

• [ ] Making Linux TCP Fast

• [ ] Monitoring and Tuning the Linux Networking Stack: Receiving Data

• [ ] 网络协议相关 RFC

• [ ] Gitbook - HTTP/2 详解

异步 IO 和 Lock-Free 编程

• 异步IO

• [ ] C10K问题

• [ ] Thousands of Threads and Blocking I/O

• [ ] Scalable IO in Java - Doug Lea

• [ ] Boost application performance using asynchronous I/O

• [ ] Lazy Asynchronous I/O For Event-Driven Servers

• [ ] Windows I/O Completion Ports, IO Processing

• [ ] Fast portable non-blocking network programming with Libevent

• [ ] Libevent 深入浅出

• [ ] Libuv Design Overview

• Reactor模式：

  • [ ] Understanding Reactor Pattern: Thread-Based and Event-Driven
  • [ ] Reactor Pattern
  • [ ] Reactor Pattern Part 1 - Applications with Blocking I/O

• Lock-Free

• [ ] Dr.Dobb’s: Lock-Free Data Structures

• [ ] Andrei Alexandrescu: Lock-Free Data Structures

• [ ] Is Parallel Programming Hard, And, If So, What Can You Do About It?

• [ ] Non-blocking algorithm

• [ ] Read-copy-update

• [ ] Seqlock

• [ ] Implementing Lock-Free Queues

• [ ] Simple, Fast, and Practical Non-Blocking and Blocking Concurrent Queue Algorithms

More links

Java 底层

• 字节码相关

• [ ] Introduction to Java Bytecode

• [ ] IBM Java bytecode

• [ ] Java Bytecode and JVMTI Examples

• [ ] 字节码lib：asmtools, Byte Buddy, jitescript, bitescript

• [ ] Java Instrumentation API

• [ ] Java Code Geeks: Java Agents, https://github.com/toptal/jvm-monitoring-agent

• [ ] 使用 Byte Buddy，便捷地创建 Java Agent

• [ ] Java Agent 做监控

• JVM

• [ ] The Java® VirtualMachine SpecificationJava SE 8 Edition

• [ ] JVM Anatomy Quarks

• [ ] JSR 133: JavaTM Memory Model and Thread Specification Revision

• [ ] The Java Memory Model

• [ ] Java内存模型实现

• [ ] Using JDK 9 Memory Order Modes

• [ ] The Garbage Collection Handbook

• [ ] Java Platform, Standard Edition HotSpot Virtual Machine Garbage Collection Tuning Guide

• [ ] Quick Tips for Fast Code on the JVM

数据库

• 关系型数据库

• [ ] MySQL 官方文档

• [ ] 高性能MySQL

• [ ] MySQL技术内幕

• [ ] MySQL Internals Manual

• [ ] 数据库索引设计与优化

• [ ] MySQL索引背后的数据结构及算法原理

• [ ] awesome-mysql

• [ ] Booking.com: Evolution of MySQL System Design

• [ ] Tracking the Money — Scaling Financial Reporting at Airbnb

• [ ] Why Uber Engineering Switched from Postgres to MySQL

• [ ] MySQL sharding approaches?

• [ ] How to Scale Big Data Applications

• NoSQL

• [ ] Introduction to NoSQL • Martin Fowler

• [ ] NoSQL Databases: a Survey and Decision Guidance

• [ ] No Relation: The Mixed Blessings of Non-Relational Databases

• [ ] Visual Guide to NoSQL Systems

• [ ] SQL vs. NoSQL Databases: What’s the Difference?

• [ ] Salesforce: SQL or NoSQL

More links

分布式架构

• [ ] 分布式系统架构的冰与火

分布式架构入门

• [ ] Scalable Web Architecture and Distributed Systems
• [ ] Scalability, Availability & Stability Patterns
• [ ] The System Design Primer
• [ ] An Introduction to Distributed Systems
• [ ] 拜占庭将军问题 Byzantine fault
• [ ] CAP
• [ ] A Brief Tour of FLP Impossibility
• [ ] 8 条荒谬的分布式假设
• [ ] CAP Twelve Years Later: How the "Rules" Have Changed
• [ ] Base: An Acid Alternative
• [ ] Eventually Consistent - Revisited

微服务

• [ ] 程序员练级攻略：微服务

容器化和自动化运维

• [ ] 程序员练级攻略：容器化和自动化运维

机器人学习和人工智能

• [ ] 程序员练级攻略：机器学习和人工智能

前端基础和底层原理

• [ ] 程序员练级攻略：前端基础和底层原理

前端新能优化和框架

UI 和 UX

另一份清单： coding-interview-university