├── AlgorithmsRoadMap
├── 图灵算法书单.md
└── 图灵算法图书学习路线图.pdf
├── FrontendRoadMap
├── 图灵前端书单.md
└── 图灵前端图书学习路线图.pdf
├── LICENSE
├── MathRoadMap
├── 图灵数学书单.md
└── 图灵高等数学图书学习路线图.pdf
├── PythonRoadMap
├── 图灵Python书单.md
└── 图灵Python图书学习路线图.pdf
└── README.md
/AlgorithmsRoadMap/图灵算法书单.md:
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1 | 图灵算法图书学习路线图
2 |
3 | A. 不涉及语言
4 | 我的第一本算法书
5 | 垃圾回收的算法与实现
6 |
7 | B. Java
8 | 算法（第4版）【中英文版】
9 |
10 | C. Python
11 | 算法图解
12 | Python数据结构与算法分析（第2版）
13 |
14 | D. C/C++
15 | 啊哈！算法
16 | 算法的乐趣
17 | 挑战程序设计竞赛
18 | 挑战程序设计竞赛2：数据结构与算法
19 |
20 | E. JavaScript
21 | 学习JavaScript数据结构与算法（第3版）
22 | 数据结构与算法JavaScript描述
23 |
24 | F. 多语言与算法面试
25 | 程序员面试金典（第6版）
26 | 枕边算法书
27 | 数据结构与算法图解
28 |
29 | G. 机器学习
30 | 白话机器学习算法（不涉及语言）
31 | 机器学习实战（Python）
32 | 利用机器学习开发算法交易系统（Python）
33 |
34 | H. 数据挖掘
35 | 数据挖掘导论（完整版）
36 | 斯坦福数据挖掘教程（第3版）
37 | 数据挖掘与分析：概念与算法
38 |
39 | I. 图算法
40 | 数据分析之图算法：基于Spark和Neo4j
41 |
42 | J. TAOCP（算法圣经）【中英文版】
43 | 计算机程序设计艺术 卷1：基本算法
44 | 计算机程序设计艺术 卷2：半数值算法
45 | 计算机程序设计艺术 卷3：排序与查找
46 | 计算机程序设计艺术 卷4A：组合算法（一）
47 | 计算机程序设计艺术：MMIX增补
48 |
49 | K. 科普读物
50 | 算法帝国
51 | 数学女孩4：随机算法
52 | 极简算法史：从数学到机器的故事
53 | 算法交易员：会赚钱的人工智能
54 |
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/AlgorithmsRoadMap/图灵算法图书学习路线图.pdf:
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/FrontendRoadMap/图灵前端书单.md:
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1 | 图灵前端图书阅读路线图
2 |
3 | A. HTML/CSS
4 | HTML
5 | HTML5与CSS3基础教程（第8版）
6 | HTML5权威指南
7 | CSS
8 | 精通CSS：高级Web标准解决方案（第3版）
9 | CSS揭秘
10 | 深入解析CSS
11 |
12 | B. JS
13 | 入门到实践
14 | Head First JavaScript程序设计
15 | JavaScript高级程序设计（第4版）
16 | JavaScript DOM编程艺术（第2版）
17 | 进阶
18 | 你不知道的JavaScript（上卷）
19 | 你不知道的JavaScript （中卷）
20 | 你不知道的JavaScript （下卷）
21 | JavaScript设计模式与开发实践
22 | 算法
23 | 学习JavaScript数据结构与算法（第3版）
24 | 数据结构与算法JavaScript描述
25 |
26 | C. 框架与库
27 | Vue
28 | 深入浅出Vue.js
29 | React
30 | React全家桶：前端开发与实例详解
31 | 深入React技术栈
32 | jQuery
33 | jQuery基础教程（第4版）
34 | Node
35 | Node与Express开发（第2版）
36 | Node.js实战（第2版）
37 | 深入浅出Node.js
38 |
39 | D. 其他
40 | 响应式Web设计：HTML5和CSS3实战（第2版）
41 | Web性能权威指南
42 | WebAssembly实战
43 |
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/FrontendRoadMap/图灵前端图书学习路线图.pdf:
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/LICENSE:
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/MathRoadMap/图灵数学书单.md:
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1 | 图灵高等数学图书学习路线图
2 |
3 | A. 套系书
4 |
5 | 普林斯顿读本
6 | 普林斯顿微积分读本（修订版）
7 | 普林斯顿概率论读本
8 | 普林斯顿数学分析读本
9 |
10 | 程序员的数学
11 | 程序员的数学（第2版）
12 | 程序员的数学2：概率统计
13 | 程序员的数学3：线性代数
14 |
15 | 图灵数学经典
16 |
17 | 01 基础拓扑学（修订版）
18 | 02 纯数学教程（第9版）
19 | 03 不等式（第2版）
20 | 04 矩阵计算（第4版）
21 | 05 复分析：可视化方法
22 |
23 | B. 微积分
24 |
25 | 微积分入门（修订版）
26 | 简单微积分：学校未教过的超简易入门技巧
27 |
28 | C. 概率论
29 |
30 | 概率导论（第2版·修订版）》
31 | 应用随机过程：概率模型导论（第11版）
32 | 概率论及其应用（卷1•第3版）
33 |
34 | D. 线性代数
35 |
36 | 线性代数应该这样学（第3版）
37 | 矩阵计算（英文版•第4版）
38 | 矩阵分析（英文版•第2版）
39 |
40 | E. 数学分析
41 |
42 | 数学分析八讲（修订版）
43 | 陶哲轩实分析（第3版）
44 |
45 | F. 数理统计
46 |
47 | 稀疏统计学习及其应用
48 | 统计学核心方法及其应用
49 |
50 | G. 计算机数学
51 |
52 | 具体数学：计算机科学基础（第2版）
53 | 白话机器学习的数学
54 | 深度学习的数学
55 | 面向数据科学家的实用统计学
56 | 游戏开发的数学与物理
57 |
58 | H. 其他
59 |
60 | 金融时间序列分析（第3版）
61 | 小波十讲
62 |
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/MathRoadMap/图灵高等数学图书学习路线图.pdf:
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/PythonRoadMap/图灵Python书单.md:
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1 | 图灵Python书单
2 |
3 | 编程入门
4 |
5 | 少年学Python
6 | 父与子的编程之旅：与小卡特一起学Python
7 | 和孩子一起玩编程（第2版）
8 |
9 | 成人学Python
10 | Python编程：从入门到实践（第2版）[零基础]
11 | Python基础教程（第3版）[有其他语言基础]
12 | Python语言及其应用 [有其他语言基础]
13 | Python编程导论 [注重计算思维]
14 |
15 | 编程进阶
16 | 流畅的Python
17 | 深入理解Python特性
18 | 精通Python设计模式（第2版）
19 |
20 | 算法基础
21 | 算法图解
22 | Python数据结构与算法分析（第2版）
23 |
24 | Web开发
25 | Django企业开发实战：高效Python Web框架指南
26 | Flask Web开发：基于Python的Web应用开发实战（第2版）
27 | Python测试驱动开发：使用Django、Selenium和JavaScript进行Web编程
28 |
29 | 爬虫与反爬虫
30 | Python网络爬虫权威指南（第2版）
31 | Python 3网络爬虫开发实战
32 | Python 3反爬虫原理与绕过实战
33 |
34 | 网络编程
35 | Python网络编程（第3版）
36 |
37 | 数据库
38 | SQLAIchemy：Python数据库实战（第2版）
39 |
40 | 安全
41 | Python黑客攻防入门
42 |
43 | 数据分析
44 | Python数据分析基础
45 | Python数据分析实战（第2版）
46 | Python数据处理
47 | Python数据分析：活用Pandas库
48 |
49 | 数据科学
50 | 数据科学入门 （第2版）
51 | Python数据科学手册
52 | 数据科学实战
53 |
54 | 数据挖掘
55 | 数据挖掘导论（完整版）
56 | 斯坦福数据挖掘教程（第3版）
57 | 数据挖掘与分析：概念与算法
58 | Python数据挖掘：入门与实践（第2版）
59 |
60 | 机器学习
61 | Python机器学习基础教程
62 | 机器学习实战（Python）
63 | Python机器学习经典实例
64 | 美团机器学习实践
65 |
66 | 深度学习
67 |
68 | 入门
69 | Python深度学习
70 | 深度学习入门：基于Python的理论与实现
71 |
72 | 神经网络
73 | 深入浅出神经网络与深度学习
74 | 深入理解神经网络：从逻辑回归到CNN
75 | 详解深度学习：基于TensorFlow和Keras学习RNN
76 |
77 | 框架
78 |
79 | TensorFlow
80 | 简明的 TensorFlow 2
81 | 深入理解TensorFlow：架构设计与实现原理
82 | Keras
83 | Python深度学习
84 | PyTorch
85 | PyTorch深度学习入门
86 | 深度学习原理与PyTorch实战
87 |
88 | 特征工程
89 | 特征工程入门与实践
90 | 精通特征工程
91 |
92 | 其他
93 |
94 | NLP
95 | 自然语言处理入门
96 | 深度学习进阶：自然语言处理
97 |
98 | 计算机视觉
99 | Python计算机视觉编程
100 | 计算机视觉之深度学习：使用TensorFlow和Keras训练高级神经网络
101 |
102 | 科学计算
103 | Python科学计算基础教程
104 | Python科学计算最佳实践：SciPy指南
105 |
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/README.md:
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1 | # RoadMap
2 |
3 | 图灵Python图书学习路线图
4 |
5 |
6 | 图灵算法图书学习路线图
7 |
8 |
9 | 图灵高等数学图书学习路线图
10 |
11 |
12 | 图灵前端图书学习路线图
13 |
14 |
15 |
16 | 您也可以通过图灵教育微信查看，之后回复相应关键词，比如Python、高等数学、算法
17 |
18 | - 我们的官方微信账号：图灵教育（turingbooks）
19 |
20 | 
21 |
22 | - 我们的官方微博账号：图灵教育
23 |
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