数据科学 IPython 笔记本翻译完成

系统管理员 2022-02-27 07:34 165阅读 0赞

> 原文：[donnemartin/data-science-ipython-notebooks][donnemartin_data-science-ipython-notebooks]
> 
> 译者：[飞龙][Link 1]
> 
> 协议：[CC BY-NC-SA 4.0][]
> 
> 欢迎任何人参与和完善：一个人可以走的很快，但是一群人却可以走的更远。

*  [ApacheCN 机器学习交流群 629470233][ApacheCN _ 629470233]
 *  [ApacheCN 学习资源][ApacheCN]

*  [在线阅读][Link 2]
 *  [PDF格式][PDF]
 *  [EPUB格式][EPUB]
 *  [MOBI格式][MOBI]
 *  [代码仓库][Link 3]

## 目录 ##

*  [数据科学 IPython 笔记本][IPython]
 *  [一、TensorFlow][TensorFlow]
 *  [二、TensorFlow 练习][TensorFlow 1]
 *  [三、Theano][Theano]
 *  [四、Keras][Keras]
 *  [五、scikit-learn][scikit-learn]
 *  [六、SciPy 统计推断][SciPy]
 *  [七、Pandas][Pandas]
    
     *  [7.1 Pandas][]
     *  [7.2 数据整理][7.2]
     *  [7.3 Pandas 数据操作][7.3 Pandas]
     *  [7.4 Pandas 对象介绍][7.4 Pandas]
     *  [7.5 数据索引和选择][7.5]
     *  [7.6 Pandas 中的数据操作][7.6 Pandas]
     *  [7.7 处理缺失数据][7.7]
     *  [7.8 分层索引][7.8]
     *  [7.9 组合数据集：连接和附加][7.9]
     *  [7.10 组合数据集：合并和连接][7.10]
     *  [7.11 聚合和分组][7.11]
     *  [7.12 透视表][7.12]
     *  [7.13 向量化字符串操作][7.13]
     *  [7.14 处理时间序列][7.14]
     *  [7.15 高性能 Pandas：`eval()`和`query()`][7.15 _ Pandas_eval_query]
 *  [八、Matplotlib][Matplotlib]
    
     *  [8.1 matplotlib][]
     *  [8.2 Matplotlib 的应用][8.2 Matplotlib]
     *  [8.3 Matplotlib 可视化][8.3 Matplotlib]
     *  [8.4 简单的折线图][8.4]
     *  [8.5 简单的散点图][8.5]
     *  [8.6 可视化误差][8.6]
     *  [8.7 密度和等高线图][8.7]
     *  [8.8 直方图，分箱和密度][8.8]
     *  [8.9 自定义图例][8.9]
     *  [8.10 自定义颜色条][8.10]
     *  [8.11 多个子图][8.11]
     *  [8.12 文本和注解][8.12]
     *  [8.13 自定义刻度][8.13]
     *  [8.14 自定义 Matplotlib：配置和样式表][8.14 _ Matplotlib]
     *  [8.15 Matplotlib 中的三维绘图][8.15 Matplotlib]
     *  [8.16 地理数据和 Basemap][8.16 _ Basemap]
     *  [8.17 使用 Seaborn 的可视化][8.17 _ Seaborn]
 *  [九、NumPy][NumPy]
    
     *  [9.1 NumPy][]
     *  [9.2 NumPy 简介][9.2 NumPy]
     *  [9.3 理解 Python 中的数据类型][9.3 _ Python]
     *  [9.4 NumPy 数组的基础][9.4 NumPy]
     *  [9.5 NumPy 数组上的计算：通用函数][9.5 NumPy]
     *  [9.6 聚合：最小、最大和之间的任何东西][9.6]
     *  [9.7 数组上的计算：广播][9.7]
     *  [9.8 比较，掩码和布尔逻辑][9.8]
     *  [9.9 花式索引][9.9]
     *  [9.10 数组排序][9.10]
     *  [9.11 结构化数据：NumPy 的结构化数组][9.11 _NumPy]

## 赞助我 ##

![841aea59ly1fx0qnvulnjj2074074747.jpg][]

[donnemartin_data-science-ipython-notebooks]: https://github.com/donnemartin/data-science-ipython-notebooks
[Link 1]: https://github.com/wizardforcel
[CC BY-NC-SA 4.0]: http://creativecommons.org/licenses/by-nc-sa/4.0/
[ApacheCN _ 629470233]: http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef
[ApacheCN]: http://www.apachecn.org/
[Link 2]: https://www.gitbook.com/book/wizardforcel/ds-ipynb/details
[PDF]: https://www.gitbook.com/download/pdf/book/wizardforcel/ds-ipynb
[EPUB]: https://www.gitbook.com/download/epub/book/wizardforcel/ds-ipynb
[MOBI]: https://www.gitbook.com/download/mobi/book/wizardforcel/ds-ipynb
[Link 3]: https://github.com/apachecn/ds-ipynb-zh
[IPython]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/README.md
[TensorFlow]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/1.md
[TensorFlow 1]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/2.md
[Theano]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/3.md
[Keras]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/4.md
[scikit-learn]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/5.md
[SciPy]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/6.md
[Pandas]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.md
[7.1 Pandas]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.1.md
[7.2]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.2.md
[7.3 Pandas]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.3.md
[7.4 Pandas]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.4.md
[7.5]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.5.md
[7.6 Pandas]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.6.md
[7.7]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.7.md
[7.8]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.8.md
[7.9]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.9.md
[7.10]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.10.md
[7.11]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.11.md
[7.12]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.12.md
[7.13]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.13.md
[7.14]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.14.md
[7.15 _ Pandas_eval_query]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/7.15.md
[Matplotlib]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.md
[8.1 matplotlib]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.1.md
[8.2 Matplotlib]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.2.md
[8.3 Matplotlib]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.3.md
[8.4]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.4.md
[8.5]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.5.md
[8.6]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.6.md
[8.7]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.7.md
[8.8]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.8.md
[8.9]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.9.md
[8.10]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.10.md
[8.11]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.11.md
[8.12]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.12.md
[8.13]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.13.md
[8.14 _ Matplotlib]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.14.md
[8.15 Matplotlib]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.15.md
[8.16 _ Basemap]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.16.md
[8.17 _ Seaborn]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/8.17.md
[NumPy]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.md
[9.1 NumPy]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.1.md
[9.2 NumPy]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.2.md
[9.3 _ Python]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.3.md
[9.4 NumPy]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.4.md
[9.5 NumPy]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.5.md
[9.6]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.6.md
[9.7]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.7.md
[9.8]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.8.md
[9.9]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.9.md
[9.10]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.10.md
[9.11 _NumPy]: https://github.com/apachecn/ds-ipynb-zh/blob/master/docs/9.11.md
[841aea59ly1fx0qnvulnjj2074074747.jpg]: /images/20220227/4f2f87dcbe334b8a9f7b2fed308f3f1e.png