资源 - 东尼的博客

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这里汇集了各个领域中整理的优质学习资源和实用工具，不论是编程与技术，还是人文与艺术，你都能在这里找到适合自己的内容。不论你是初学者，还是在追求多元知识的探索者，我都希望这些资源能为你的学习旅程带来启发和帮助。从深度教程到精选书单，从实用工具到开源项目。希望这些内容能助你高效学习，发现更多有趣的知识世界！✨

计算机科学导论

计算机科学速成课 - Crash Course Computer Science

哈佛大学公开课：计算机科学 cs50

计算机组成

陆俊林计算机组成

CSE 351: The Hardware/Software Interface

操作系统

向勇操作系统

6.828: Operating System Engineering

os-tutorial: How to create an OS from scratch

李治军操作系统哈工大操作系统实验手册实验楼操作系统原理与实践

数据库

6.830/6.814: Database Systems

SQL Tutorial for Beginners with MySQL

分布式系统

Distributed Systems

6.824: Distributed Systems

计算机网络

Computer Networking Tutorial: The Ultimate Guide

编译器

华保健编译原理

Compilers B 站观看

Compiler Design

Implementing a Regular Expression Engine

自己动手写编译器: 本书将介绍一个非常简单的编译器（ TinyC 编译器）的实现，用简单和易于实现的实例来描述基本的编译原理及过程，希望能为学习编译原理的读者提供一些参考。

密码学

Christof Paar - Introduction to Cryptography

Frontend

Top 10 Frontend Frameworks of 2018

前端开发学习路线

C

翁恺 C 语言程序设计

Practical Programming in C

Introduction to C Memory Management and C++ Object-Oriented Programming

Let’s Build a Simple Database

Tinyhttpd: Tinyhttpd 是 J. David Blackstone 在 1999 年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。

json-tutorial: 从零开始的 JSON 库教程。

project-based-tutorials-in-c: A curated list of project-based tutorials in C

awesome-c: A curated list of awesome C frameworks, libraries, resources and other shiny things. Inspired by all the other awesome-… projects out there.

awesome-c: Continuing the development of awesome-c list on GitHub

C++

郑莉 C++语言程序设计基础和 C++语言程序设计进阶

CS106X: Programming Abstractions in C++

CS106B: Programming Abstractions in C++ B 站观看

muduo: Event-driven network library for multi-threaded Linux server in C++11.

MyTinySTL: Achieve a tiny STL in C++11.

musikcube: a cross-platform, terminal-based music player, audio engine, metadata indexer, and server in c++.

C++

跟侯捷学 C++: 系统学习 C++知识体系。

sudoku: C++实现的跨平台数独游戏，命令行操作易上手，可以在开发间隙用来放松身心。数百行代码，初学者也可以轻松掌握。

LearnCpp.com: LearnCpp.com is a free website devoted to teaching you how to program in C++. Whether you’ve had any prior programming experience or not, the tutorials on this site will walk you through all the steps to write, compile, and debug your C++ programs, all with plenty of examples.

Learn OpenGL: Welcome to the online book for learning OpenGL! Whether you are trying to learn OpenGL for academic purposes, to pursue a career or simply looking for a hobby, this book will teach you the basics, the intermediate, and all the advanced knowledge using modern (core-profile) OpenGL. The aim of LearnOpenGL is to show you all there is to modern OpenGL in an easy-to-understand fashion with clear examples, while also providing a useful reference for later studies.

awesome-modern-cpp: A collection of resources on modern C++

Awesome C++: A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-… stuff.

C#

Learn C# by Building a Simple RPG: If you want to write a Role Playing Game, but don’t know how to program, or just want to learn how to program in C#, then you’re at right the place.

Python

c9-python-getting-started: Sample code for Channel 9 Python for Beginners course

计算机科学和 Python 编程导论

CS 61A: Structure and Interpretation of Computer Programs

Python 教程

Let’s Build A Simple Interpreter

httpstat: httpstat 美化了 curl 的结果，使得结果更加可读。

reddit: reddit 网站的源码。

500lines: 500 Lines or Less.

you-get: ⏬ Dumb downloader that scrapes the web

scrapydweb: Web app for Scrapyd cluster management, Scrapy log analysis & visualization, Auto packaging, Timer tasks, Monitor & Alert, and Mobile UI.

manim: Animation engine for explanatory math videos

scylla: Intelligent proxy pool for Humans™

wttr.in: ⛅️ The right way to check the weather https://wttr.in

spug: 开源运维平台：面向中小型企业设计的轻量级无 Agent 的自动化运维平台，整合了主机管理、主机批量执行、主机在线终端、文件在线上传下载、应用发布部署、在线任务计划、配置中心、监控、报警等一系列功能。

learn_python3_spider: python 爬虫教程系列、从 0 到 1 学习 python 爬虫，包括浏览器抓包，手机 APP 抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy 等，以及 IP 代理，验证码识别，Mysql，MongoDB 数据库的 python 使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS 爬虫逆向，分布式爬虫，爬虫项目实战实例等。

Java

Introduction to Programming in Java

CS106A - Programming Methodology

Java 教程

Java Tutorial, Java EE Tutorials

深入浅出 Java 多线程

JavaWeb 学习总结: 详尽的 JavaWeb 学习总结，Servlet/学习推荐阅读！

istock: 👉 一个基于 spring boot 实现的 java 股票爬虫(仅支持 A 股)，如果你 ❤️ 请 ⭐️ . V2 升级版正在开发中！

vhr: 微人事是一个前后端分离的人力资源管理系统，项目采用 SpringBoot+Vue 开发。

toBeTopJavaer: To Be Top Javaer - Java 工程师成神之路

tech-weekly: 小马哥技术周报

web: 适合 java 新手入门练习的 java web 个人网站项目，目前主要维护 web-mysql 和 web-psql 两个分支。前台包括博客、代码库、文件下载、留言、登录注册、站内搜索、分类目录等功能，后台包括上传文件、博客、代码，编辑、删除文章，修改个人资料等功能，目前暂停开发新功能。

mall: mall 项目是一套电商系统，包括前台商城系统及后台管理系统，基于 SpringBoot+MyBatis 实现，采用 Docker 容器化部署。

halo: ✍ Halo 一款现代化的个人独立博客系统

jblog: 🔱 一个简洁漂亮的 java blog 👉 基于 Spring /MVC+ Hibernate + MySQL + Bootstrap + freemarker

SeimiCrawler: 一个简单、敏捷、分布式的支持 SpringBoot 的 Java 爬虫框架;An agile, distributed crawler framework.

spring-boot-examples: Spring Boot 教程、技术栈示例代码，快速简单上手教程。

SpringAll: 循序渐进，学习 Spring Boot、Spring Boot & Shiro、Spring Cloud、Spring Security & Spring Security OAuth2，博客 Spring 系列源码。

My-Blog: 🌴:octocat:A simple & beautiful blogging system implemented with spring-boot & thymeleaf & mybatis My Blog 是由 SpringBoot + Mybatis + Thymeleaf 等技术实现的 Java 博客系统，页面美观、功能齐全、部署简单及完善的代码，一定会给使用者无与伦比的体验

jsoup: Java HTML Parser

JavaGuide: 【Java 学习+面试指南】一份涵盖大部分 Java 程序员所需要掌握的核心知识。

MusicPlayer: Desktop Music Player for Windows and Mac using JavaFX/Java 8

giffun: 一款开源的 GIF 在线分享 App，乐趣就要和世界分享。

symphony: 🎶 A modern community (forum/BBS/SNS/blog) platform implemented in Java. 一款用 Java 实现的现代化社区（论坛/BBS/社交网络/博客）平台。

cim: 📲cim(cross IM) 适用于开发者的分布式即时通讯系统

advanced-java: 😮 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

Go

Learn Go Programming - Golang Tutorial for Beginners

gogs: 用 Go 写的一款极易搭建的自助 Git 服务，支持所有平台。就像 GitLab 一样的服务，但是 GitLab 是基于 ruby 语言的。另外：完善的中文文档、支持 Go 语言支持的所有平台，包括 Linux、Mac OS X、Windows 以及 ARM 平台。

pan-light: 百度网盘不限速客户端, golang + qt5, 跨平台图形界面

unioffice: Pure go library for creating and processing Office Word (.docx), Excel (.xlsx) and Powerpoint (.pptx) documents.

geziyor: Geziyor, a fast web crawling & scraping framework for Go. Supports JS rendering.

annie: 👾 Fast, simple and clean video downloader

7days-golang: 7 days golang apps from scratch

Ruby

discourse: A platform for community discussion.

R

R for Graduate Students

Introduction to Data Science

R Programming for Data Science

Data Visualization with R: R is an amazing platform for data analysis, capable of creating almost any type of graph. This book helps you create the most popular visualizations - from quick and dirty plots to publication-ready graphs. The text relies heavily on the ggplot2 package for graphics, but other approaches are covered as well.

ggplot2: Elegant Graphics for Data Analysis: This is the on-line version of work-in-progress 3rd edition of “ggplot2: elegant graphics for data analysis” published by Springer. You can learn what’s changed from the 2nd edition in the Preface.

R Graphics Cookbook, 2nd edition: Welcome to the R Graphics Cookbook, a practical guide that provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.

R for Excel Users: This course is for Excel users who want to add or integrate R and RStudio into their existing data analysis toolkit. It is a friendly intro to becoming a modern R user, full of tidyverse, RMarkdown, GitHub, collaboration & reproducibility.

李东风的主页

UC Business Analytics R Programming Guide

The openair book Tools for air quality data analysis

R CODER: Begin your data science career with R language!

Hands-On Machine Learning with R

Mastering Spark with R

Modern Data Science with R

R for Data Science

Text Mining with R: A Tidy Approach

Modern R with the tidyverse

JavaScript

JavaScript Tutorial

The Modern JavaScript Tutorial

JavaScript 教程

cdfang-spider: 成都房协网爬虫，可视化数据分析

request: 🏊🏾 Simplified HTTP request client.

vanillawebprojects: Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries.

Learn-Vue-Source-Code: 🔥 🔥 逐行剖析 Vue.js 源码在线阅读地址https://nlrx-wjc.github.io/Learn-Vue-Source-Code/

100+ JavaScript Projects for Beginners!: Do all 100+ of the listed JavaScript Projects for beginners that you’ll find on this page.

javascript-algorithms: 📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

Node.js

How to start a Node.js project

Express web framework (Node.js/JavaScript)

Nodejs-Roadmap: 【Nodejs-Roadmap】侧重于 Node.js 服务端的开发指南

Julia

From zero to Julia!: An expanding series of short tutorials about Julia, starting from the beginner level and going up to deal with the more advanced topics.

Swift

Swift-30-Projects: 30 mini Swift Apps for self-study.

Matlab

A Quick Tutorial on MATLAB

Introduction to MATLAB: This is an accelerated introduction to MATLAB® and its popular toolboxes. Lectures are interactive, with students conducting sample MATLAB problems in real time. The course includes problem-based MATLAB assignments. Students must provide their own laptop and software. This is great preparation for classes that use MATLAB.

Introduction To MATLAB Programming: This course is intended to assist undergraduates with learning the basics of programming in general and programming MATLAB® in particular.

Linux

The Best Linux Tutorials

Linux 工具快速教程

The Linux Command Line

Unix & Linux 大学教程

Linux Tutorial

Docker

Docker 入门教程

Docker 微服务教程

Coding

Google 开源项目风格指南

Learning-SICP: MIT 视频公开课《计算机程序的构造和解释》中文化项目及课程学习资料搜集。

提问

提問的智慧: 本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。

游戏

Game Engine

Elasticsearch

Elasticsearch: 权威指南

Data Structure & Algorithms

What is your strategy for learning data structures and algorithms?

The BEST way to learn Data Structures and Algorithms

Problem Solving with Algorithms and Data Structures using Python

Learn data structures from scratch in C, Java and Python

CS 61B Data Structures, Fall 2019

Stanford Algorithm Part 1 and Part 2

邓俊辉数据结构(上) 和数据结构(下) 数据结构(C++语言版)

陈越何钦铭数据结构

Data Structure by Saurabh Shukla Sir - YouTube

Data Structures Tutorial Videos | Mr. Srinivas - YouTube

Introduction to Algorithms

Design and Analysis of Algorithms

Advanced Algorithms

Data Structures and Algorithms

Math

麻省理工学院公开课：单变量微积分和麻省理工学院公开课：单变量微积分习题课

麻省理工学院公开课：多变量微积分和麻省理工学院公开课：多变量微积分习题课

麻省理工公开课：线性代数和麻省理工学院公开课：MIT 线性代数习题课

麻省理工学院公开课：微分方程

葉丙成頑想學概率：機率一和頑想學概率：機率二

Intro to Descriptive Statistics

Intro to Inferential Statistics

马昱春组合数学

Seeing Theory: A visual introduction to probability and statistics.

Kaggle

The Beginner’s Guide to Kaggle

Generative Adversarial Networks

AdversarialNetsPapers: The classical paper list with code about generative adversial nets.

Keras-GAN: Keras implementations of Generative Adversarial Networks.

Action Recognition

Awesome Action Recognition: A curated list of action recognition and related area resources.

Tensorflow

Tensorflow-Cookbook: Simple Tensorflow Cookbook for easy-to-use

Machine Learning

Machine Learning Andrew Ng Notes

CS229: Machine Learning

ML2017FALL

Machine Learing with Python

CSE 599W: Systems for ML

Python Data Science Handbook

40 Must-Read AI / Machine Learning Blogs

MLAlgorithms: Minimal and clean examples of machine learning algorithms implementations.

Recommendation System

Comprehensive Guide to build a Recommendation Engine from scratch (in Python)

Matplotlib

Matplotlib tutorial

Reinforcement Learning

Deep Reinforcement Learning

Deep RL Bootcamp

Deep Reinforcement Learning Course: A Free course in Deep Reinforcement Learning from beginner to expert.

Deep Learning

Dive into Deep Learning: An interactive deep learning book with code, math, and discussions. Provides both NumPy/MXNet and PyTorch implementations

Practical Deep Learning for Coders

深度学习入门：基于 Python 的理论与实现

Neural Networks and Deep Learning

Keras and Convolutional Neural Networks (CNNs)

DeepLearning-500-questions: 深度学习 500 问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。

MIT 6.S191 Introduction to Deep Learning: MIT’s official introductory course on deep learning methods with applications in robotics, and more!

Deep-Learning-Papers-Reading-Roadmap: About Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

CV

CS231n: Convolutional Neural Networks for Visual Recognition

NLP

CS224d: Deep Learning for Natural Language Processing

CS224n: Natural Language Processing with Deep Learning

nlp_course: YSDA course in Natural Language Processing

Anomaly Detection

anomaly-detection-resources: Anomaly detection related books, papers, videos, and toolboxes

Self-Driving Cars

MIT 6.S094: Deep Learning for Self-Driving Cars

哲学

哈佛大学公开课：公正-该如何做是好？

耶鲁大学公开课：哲学-死亡

心理

哈佛大学公开课：幸福课

文学

紅樓夢歐麗娟: 本課程以《紅樓夢》為範圍，區分為文化與人物論兩大範疇。在文化方面，由於《紅樓夢》吸納傳統中國文學與文化的涵蓋面甚廣，將涉及「神話運用與詮釋」、「讖語式的表達」、「悟道模式」、「遊仙模式」、「喜劇精神」…

Youtube

Gate Lectures by Ravindrababu Ravula

Derek Banas: I make tutorials based on your requests. I will cover any topic you can imagine. I upload new programming videos on Saturday and Wednesday morning. I Live Stream at 8PM EST on Monday and at 7PM EST on Tuesday, Thursday and Friday.

sentdex: Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development and more.

The Cherno

freeCodeCamp.org: We’re an open source community of busy people who learn to code and build projects for nonprofits.

StatQuest with Josh Starmer: Statistics, Machine Learning and Data Science can sometimes seem like very scary topics, but since each technique is really just a combination of small and simple steps, they are actually quite simple. My goal with StatQuest is to break down the major methodologies into easy to understand pieces. That said, I don’t dumb down the material. Instead, I build up your understanding so that you are smarter.

Numberphile: Videos about numbers - it’s that simple.

TED: The TED Talks channel features the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design – plus science, business, global issues, the arts and more. You’re welcome to link to or embed these videos, forward them to others and share these ideas with people you know.

3Blue1Brown: 3blue1brown, by Grant Sanderson, is some combination of math and entertainment, depending on your disposition. The goal is for explanations to be driven by animations and for difficult problems to be made simple with changes in perspective.

CrashCourse: Tons of awesome courses in one awesome channel! Nicole Sweeney teaches you sociology, Carrie Anne Philbin teaches you computer science, Craig Benzine teaches film history, and Mike Rugnetta is teaching mythology! Check out the playlists for past courses in physics, philosophy, games, economics, U.S. government and politics, astronomy, anatomy & physiology, world history, biology, literature, ecology, chemistry, psychology, and U.S. history.

List

computer-science: 🎓 Path to a free self-taught education in Computer Science!

awesome-computer-vision: A curated list of awesome computer vision resources.

awesome-nlp: 📖 A curated list of resources dedicated to Natural Language Processing (NLP).

awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-courses: 📚 List of awesome university courses for learning Computer Science!

HelloGitHub: :octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目

jstraining: 全栈工程师培训材料

free-books: 互联网上的免费书籍

Spring Boot 学习资料汇总

SpringBoot-Labs: 一个涵盖六个专栏：Spring Boot 2.X、Spring Cloud、Spring Cloud Alibaba、Dubbo、分布式消息队列、分布式事务的仓库。

ultimate-coding-resources: A collection of the best resources for programming, web development, computer science and more.

Teach Yourself Computer Science: If you’re a self-taught engineer or bootcamp grad, you owe it to yourself to learn computer science. Thankfully, you can give yourself a world-class CS education without investing years and a small fortune in a degree program 💸.

coding-interview-university: A complete computer science study plan to become a software engineer. ⭐⭐⭐⭐⭐

deep-learning-drizzle: Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

程序员的自我修养

Project Based Learning: A list of programming tutorials in which learners build an application from scratch. These tutorials are divided into different primary programming languages. Some have intermixed technologies and languages.

build-your-own-x: 🤓 Build your own (insert technology here) ⭐⭐⭐⭐⭐

awesome-competitive-programming: 💎 A curated list of awesome Competitive Programming, Algorithm and Data Structure resources