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content/HelloGitHub02.md

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8、[algorithm](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/qiwsir/algorithm):老齐的 Python 算法教程
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9、[luokr.com](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/alvan/luokr.com):Python Tornado 写的开源网站——螺壳网,[访问](http://luokr.com/),如图:
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<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img/master/hellogithub/02/16545854.png' style="max-width:80%; max-height=80%;"></img></p>
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10、[mincss](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/peterbe/mincss):Python 写的用来找到 CSS 中没有用到的代码片段,并删除。适用于:想要做一个页面,但是不会写 CSS 人。示例代码如下:
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9、[mincss](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/peterbe/mincss):Python 写的用来找到 CSS 中没有用到的代码片段,并删除。适用于:想要做一个页面,但是不会写 CSS 人。示例代码如下:
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```python
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#coding:utf-8
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#!/usr/bin/env python
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```
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11[python-gems](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/RealHacker/python-gems):有趣的 Pyhton 代码片段集合
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10[python-gems](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/RealHacker/python-gems):有趣的 Pyhton 代码片段集合
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12[python-goose](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/grangier/python-goose):Goose 用于文章提取器,提取中文内容的示例代码:
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11[python-goose](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/grangier/python-goose):Goose 用于文章提取器,提取中文内容的示例代码:
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```python
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>>> from goose import Goose
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>>> from goose.text import StopWordsChinese
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### 其它
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13[leetcode-solutions](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/RealHacker/leetcode-solutions):Leetcode OJ 的 Python 算法实现
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12[leetcode-solutions](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/RealHacker/leetcode-solutions):Leetcode OJ 的 Python 算法实现
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content/HelloGitHub27.md

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<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img/master/hellogithub/27/120729315.jpeg' style="max-width:80%; max-height=80%;"></img></p>
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### 其它
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20、[Android_Data](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/Freelander/Android_Data):这个集合主要能够帮助初学者在初学 Android 开发的时候,能够快速、方便地找到适合自己的学习资料
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20、[build-your-own-x](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/codecrafters-io/build-your-own-x):(英文)费曼:“我不能创造的東西,我就不了解。”该项目收集了不同编程语言造轮子的教程
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21、[build-your-own-x](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/codecrafters-io/build-your-own-x):(英文)费曼:“我不能创造的東西,我就不了解。”该项目收集了不同编程语言造轮子的教程
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22、[Front-End-Checklist](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/thedaviddias/Front-End-Checklist):一份在网站发布到生产环境之前,前端部分需要测试、检查的详尽清单。[中文版](https://github.com/JohnsenZhou/Front-End-Checklist)
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21、[Front-End-Checklist](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/thedaviddias/Front-End-Checklist):一份在网站发布到生产环境之前,前端部分需要测试、检查的详尽清单。[中文版](https://github.com/JohnsenZhou/Front-End-Checklist)
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### 机器学习
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23[elasticsearch-spark-recommender](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/IBM/elasticsearch-spark-recommender):使用 Apache Spark 的机器学习库 (MLlib) 来训练一个协同过滤推荐系统模型 和 Elasticsearch 构建一个推荐系统教程,[中文版阅读](https://github.com/IBM/elasticsearch-spark-recommender/blob/master/README-cn.md)
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22[elasticsearch-spark-recommender](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/IBM/elasticsearch-spark-recommender):使用 Apache Spark 的机器学习库 (MLlib) 来训练一个协同过滤推荐系统模型 和 Elasticsearch 构建一个推荐系统教程,[中文版阅读](https://github.com/IBM/elasticsearch-spark-recommender/blob/master/README-cn.md)
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<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img/master/hellogithub/27/86702277.png' style="max-width:80%; max-height=80%;"></img></p>
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24[simplified-deeplearning](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/exacity/simplified-deeplearning):《DeepLearningBook》读书笔记
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23[simplified-deeplearning](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/exacity/simplified-deeplearning):《DeepLearningBook》读书笔记
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content/HelloGitHub31.md

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<p align="center"><img src='https://raw.githubusercontent.com/521xueweihan/img/master/hellogithub/31/119822304.jpg' style="max-width:80%; max-height=80%;"></img></p>
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### 其它
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19、[apachecn-algo-zh](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/apachecn/apachecn-algo-zh):Leetcode 题解及经典算法实现,实现语言包含 Python、Java、C++、JS
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19、[puppeteer-api-zh_CN](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/zhaoqize/puppeteer-api-zh_CN):Puppeteer 中文文档(与官方保持同步)
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20、[puppeteer-api-zh_CN](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/zhaoqize/puppeteer-api-zh_CN):Puppeteer 中文文档(与官方保持同步)
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20、[quick-SQL-cheatsheet](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/enochtangg/quick-SQL-cheatsheet):SQL 速查表,[中文查阅](https://github.com/enochtangg/quick-SQL-cheatsheet/blob/master/README_zh-hans.md)
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21、[quick-SQL-cheatsheet](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/enochtangg/quick-SQL-cheatsheet):SQL 速查表,[中文查阅](https://github.com/enochtangg/quick-SQL-cheatsheet/blob/master/README_zh-hans.md)
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21、[README](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/guodongxiaren/README):该项目介绍了 GFM 的语法和示例展示。GitHub 的 Markdown 语法在标准的语法基础上做了扩充,称之为 GitHub Flavored Markdown,简称 GFM。友好的 README 是项目的第一印象,这点很重要
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22、[README](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/guodongxiaren/README):该项目介绍了 GFM 的语法和示例展示。GitHub 的 Markdown 语法在标准的语法基础上做了扩充,称之为 GitHub Flavored Markdown,简称 GFM。友好的 README 是项目的第一印象,这点很重要
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23、[zh-google-styleguide](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/zh-google-styleguide/zh-google-styleguide):Google 开源项目风格指南 (中文版)
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22、[zh-google-styleguide](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/zh-google-styleguide/zh-google-styleguide):Google 开源项目风格指南 (中文版)
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### 机器学习
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24[nndl.github.io](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/nndl/nndl.github.io):《神经网络与深度学习》该课程主要介绍神经网络与深度学习中的基础知识、主要模型(卷积神经网络、递归神经网络等)以及在计算机视觉、自然语言处理等领域的应用。[在线阅读](https://nndl.github.io/)
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23[nndl.github.io](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/nndl/nndl.github.io):《神经网络与深度学习》该课程主要介绍神经网络与深度学习中的基础知识、主要模型(卷积神经网络、递归神经网络等)以及在计算机视觉、自然语言处理等领域的应用。[在线阅读](https://nndl.github.io/)
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25[pwc](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/zziz/pwc):深度学习、机器学习论文集合(英文)
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24[pwc](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/zziz/pwc):深度学习、机器学习论文集合(英文)
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