修正导航结构:将Quick Navigation移到最前面,修正分类标题层级和导航链接
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61
README.md
61
README.md
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[python.flypython.com](https://python.flypython.com )
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## 📚 Quick Navigation
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1. [Python News](#python-news)
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1. [Python for LLM](#python-for-llm)
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1. [Python Books](#python-books)
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1. [Course](#course)
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1. [Data Science](#data-science)
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1. [Recommended Learning](#recommended-learning)
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1. [Algorithm](#algorithm)
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1. [Guide](#guide)
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1. [Structure](#structure)
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1. [List](#list)
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1. [Class](#class)
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1. [Web Scraping](#web-scraping)
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1. [Automation](#automation)
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1. [Bot](#bot)
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1. [Spreadsheet](#spreadsheet)
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1. [Finance](#finance)
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1. [Blockchain](#blockchain)
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1. [Video Synthesizer](#video-synthesizer)
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1. [Performance](#performance)
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1. [Django](#django)
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1. [Flask & Code Quality](#flask--code-quality)
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1. [NumPy](#numpy)
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1. [NashPy](#nashpy)
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1. [Markov Process](#markov-process)
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1. [Data Analysis](#data-analysis)
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1. [Get Started](#get-started)
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---
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## Github Top 45
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@@ -69,37 +99,6 @@ permalink: /
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#### matplotlib
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- [AnatomyOfMatplotlib](https://github.com/matplotlib/AnatomyOfMatplotlib)
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### Python Learning Resources
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**📚 Quick Navigation:**
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1. [Python News](#python-news)
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1. [Python for LLM](#python-for-llm)
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1. [Python Books](#python-books)
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1. [Course](#course)
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1. [Data Science](#data-science)
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1. [Algorithm](#algorithm)
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1. [Guide](#guide)
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1. [Structure](#structure)
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1. [List](#list)
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1. [Class](#class)
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1. [Web Scraping](#web-scraping)
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1. [Automation](#automation)
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1. [Bot](#bot)
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1. [Spreadsheet](#spreadsheet)
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1. [Finance](#finance)
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1. [Blockchain](#blockchain)
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1. [Video Synthesizer](#video-synthesizer)
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1. [Performance](#performance)
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1. [Django](#django)
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1. [Flask & Code Quality](#flask--code-quality)
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1. [NumPy](#numpy)
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1. [NashPy](#nashpy)
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1. [Markov Process](#markov-process)
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1. [Data Analysis](#data-analysis)
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1. [Get Started](#get-started)
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<br>
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### Recommended Learning
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A) REST APIs: [REST APIs with Flask and Python in 2024 - Complete Course](https://www.coursera.org/learn/packt-rest-apis-with-flask-and-python-in-2024-i01az) [Professional Flask Development with Modern Tools]
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99
README_cn.md
99
README_cn.md
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https://flypython.com
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## 📚 快速导航
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1. [Python新闻](#python新闻)
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1. [Python书籍列表](#python书籍列表)
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1. [Python课程列表](#python课程列表)
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1. [数据科学](#数据科学)
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1. [推荐学习](#推荐学习)
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1. [算法](#算法)
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1. [指南](#指南)
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1. [项目结构](#项目结构)
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1. [列表推导式](#列表推导式)
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1. [类](#类)
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1. [数据处理与分析](#数据处理与分析)
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1. [网页抓取](#网页抓取)
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1. [自动化](#自动化)
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1. [机器人](#机器人)
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1. [电子表格](#电子表格)
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1. [金融](#金融)
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1. [区块链](#区块链)
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1. [视频合成](#视频合成)
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1. [性能优化](#性能优化)
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1. [Django](#django)
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1. [Flask](#flask)
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1. [NumPy](#numpy)
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1. [NashPy](#nashpy)
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1. [马尔可夫过程](#马尔可夫过程)
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1. [入门指南](#入门指南)
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---
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## Github Top 45
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@@ -69,30 +98,12 @@ https://flypython.com
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- [Python自动化测试](https://testdriven.io/courses/)
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- [Python爬虫开发](https://realpython.com/web-scraping-with-scrapy-and-mongodb/)
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### Python学习资源集合
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### 数据科学
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**📚 快速导航:**
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1. [Python新闻](#python新闻)
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1. [Python书籍列表](#python书籍列表)
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1. [Python课程列表](#python课程列表)
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1. [推荐学习](#推荐学习)
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1. [算法](#算法)
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1. [指南](#指南)
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1. [项目结构](#项目结构)
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1. [列表推导式](#列表推导式)
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1. [类](#类)
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1. [数据处理与分析](#数据处理与分析)
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1. [网页抓取](#网页抓取)
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1. [自动化](#自动化)
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1. [机器人](#机器人)
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1. [金融](#金融)
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1. [区块链](#区块链)
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1. [性能优化](#性能优化)
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1. [Django](#django)
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1. [Flask](#flask)
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1. [数据科学](#数据科学)
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#### matplotlib
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- [AnatomyOfMatplotlib](https://github.com/matplotlib/AnatomyOfMatplotlib)
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#### 推荐学习
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### 推荐学习
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**现代化REST API开发:**使用 Python 和 Flask 构建2024年专业级 REST API [现代工具和最佳实践]
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@@ -106,7 +117,7 @@ https://flypython.com
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链接:https://medium.mybridge.co/30-amazing-python-projects-for-the-past-year-v-2018-9c310b04cdb3
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#### 算法
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### 算法
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1. 回顾 Python 交互式编码中所要面对的挑战 (算法和数据结构)
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@@ -138,7 +149,7 @@ https://flypython.com
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#### 指南
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### 指南
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4. 一个有趣又鲜为人知的 Python 代码片段集合 —wtfPython
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@@ -150,7 +161,7 @@ https://flypython.com
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#### 项目结构
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### 项目结构
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5. 一个关于如何从 Python 脚本到打包项目的标准化指南
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@@ -162,7 +173,7 @@ https://flypython.com
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#### 列表推导式
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### 列表推导式
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6. Python 列表推导式完整指南
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#### 类
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### 类
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7. 如何使用 Dunder (Magic、Special) 方法来丰富你的 Python 类
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@@ -191,7 +202,7 @@ https://flypython.com
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#### 数据处理与分析
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### 数据处理与分析
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8. Python Excel 数据分析完整指南
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链接:https://learning.anaconda.cloud/anaconda-certified-data-analysis-with-python-in-excel
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#### 网页抓取
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### 网页抓取
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10. 高级的网页抓取教程:绕过 "403 禁止",验证码等问题
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#### 自动化
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### 自动化
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11. 如何使用 Twilio、Python 和 Google 自动化婚礼的进程
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#### 机器人
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### 机器人
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13. 制作 Reddit+Facebook 的信息箱
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作者:
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#### 电子表格
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### 电子表格
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15. 权威指南:Python 的 Excel 教程
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#### 金融
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### 金融
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17. Python 中的金融:算法交易
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@@ -350,7 +361,7 @@ https://blog.patricktriest.com/analyzing-cryptocurrencies-python/
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#### 区块链
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### 区块链
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#### 视频合成
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### 视频合成
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@@ -424,7 +435,7 @@ https://www.makeartwithpython.com/blog/video-synthesizer-in-python/
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#### 性能优化
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### 性能优化
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@@ -488,7 +499,7 @@ https://dbader.org/blog/python-memoization
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#### Django
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### Django
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@@ -530,7 +541,7 @@ https://scotch.io/tutorials/build-a-rest-api-with-django-a-test-driven-approach-
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#### Flask
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### Flask
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@@ -570,7 +581,7 @@ https://auth0.com/blog/developing-restful-apis-with-python-and-flask/
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#### NumPy
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### NumPy
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@@ -604,7 +615,7 @@ Jake VanderPlas
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http://jakevdp.github.io/blog/2017/11/09/exploring-line-lengths-in-python-packages/
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#### NashPy
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### NashPy
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32. NashPy 教程 — 建立并找到一种简单的游戏平衡
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@@ -622,7 +633,7 @@ http://nashpy.readthedocs.io/en/latest/tutorial/
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#### 马尔可夫过程
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### 马尔可夫过程
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@@ -646,9 +657,7 @@ http://jakevdp.github.io/blog/2017/12/18/simulating-chutes-and-ladders/
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#### 数据科学
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### 数据分析
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34. 用 Python 分析美国联邦政治行为
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@@ -764,7 +773,7 @@ http://blog.kaggle.com/2017/10/17/planet-understanding-the-amazon-from-space-1st
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#### 入门指南
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### 入门指南
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