done

.gitignore

+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# dotenv
+.env
+
+# virtualenv
+.venv
+venv/
+ENV/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.DS_Store
+
+# gitbook
+_book
+
+# node.js
+node_modules
+
+# windows
+Thumbs.db
+
+# word
+~$*.docx
+~$*.doc

README.md

+# 数据科学和人工智能技术笔记
+
+> 原文：[donnemartin/data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks)
+> 
+> 译者：[飞龙](https://github.com/wizardforcel)
+> 
+> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/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](http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef)
++   [ApacheCN 学习资源](http://www.apachecn.org/)
+
+<!-- break -->
+
++ [在线阅读](https://www.gitbook.com/book/wizardforcel/ds-ipynb/details)
++ [PDF格式](https://www.gitbook.com/download/pdf/book/wizardforcel/ds-ipynb)
++ [EPUB格式](https://www.gitbook.com/download/epub/book/wizardforcel/ds-ipynb)
++ [MOBI格式](https://www.gitbook.com/download/mobi/book/wizardforcel/ds-ipynb)
++ [代码仓库](https://github.com/apachecn/ds-ipynb-zh)
+
+## 赞助我
+
+![](http://ww1.sinaimg.cn/large/841aea59ly1fx0qnvulnjj2074074747.jpg)
\ No newline at end of file

SUMMARY.md

++   [数据科学 IPython 笔记本](README.md)
++   [一、TensorFlow](1.md)
++   [二、TensorFlow 练习](2.md)
++   [三、Theano](3.md)
++   [四、Keras](4.md)
++   [五、scikit-learn](5.md)
++   [六、SciPy 统计推断](6.md)
++   [七、Pandas](7.md)
+    +   [7.1 Pandas](7.1.md)
+    +   [7.2 数据整理](7.2.md)
+    +   [7.3 Pandas 数据操作](7.3.md)
+    +   [7.4 Pandas 对象介绍](7.4.md)
+    +   [7.5 数据索引和选择](7.5.md)
+    +   [7.6 Pandas 中的数据操作](7.6.md)
+    +   [7.7 处理缺失数据](7.7.md)
+    +   [7.8 分层索引](7.8.md)
+    +   [7.9 组合数据集：连接和附加](7.9.md)
+    +   [7.10 组合数据集：合并和连接](7.10.md)
+    +   [7.11 聚合和分组](7.11.md)
+    +   [7.12 透视表](7.12.md)
+    +   [7.13 向量化字符串操作](7.13.md)
+    +   [7.14 处理时间序列](7.14.md)
+    +   [7.15 高性能 Pandas：`eval()`和`query()`](7.15.md)
++   [八、Matplotlib](8.md)
+    +   [8.1 matplotlib](8.1.md)
+    +   [8.2 Matplotlib 的应用](8.2.md)
+    +   [8.3 Matplotlib 可视化](8.3.md)
+    +   [8.4 简单的折线图](8.4.md)
+    +   [8.5 简单的散点图](8.5.md)
+    +   [8.6 可视化误差](8.6.md)
+    +   [8.7 密度和等高线图](8.7.md)
+    +   [8.8 直方图，分箱和密度](8.8.md)
+    +   [8.9 自定义图例](8.9.md)
+    +   [8.10 自定义颜色条](8.10.md)
+    +   [8.11 多个子图](8.11.md)
+    +   [8.12 文本和注解](8.12.md)
+    +   [8.13 自定义刻度](8.13.md)
+    +   [8.14 自定义 Matplotlib：配置和样式表](8.14.md)
+    +   [8.15 Matplotlib 中的三维绘图](8.15.md)
+    +   [8.16 地理数据和 Basemap](8.16.md)
+    +   [8.17 使用 Seaborn 的可视化](8.17.md)
++   [九、NumPy](9.md)
+    +   [9.1 NumPy](9.1.md)
+    +   [9.2 NumPy 简介](9.2.md)
+    +   [9.3 理解 Python 中的数据类型](9.3.md)
+    +   [9.4 NumPy 数组的基础](9.4.md)
+    +   [9.5 NumPy 数组上的计算：通用函数](9.5.md)
+    +   [9.6 聚合：最小、最大和之间的任何东西](9.6.md)
+    +   [9.7 数组上的计算：广播](9.7.md)
+    +   [9.8 比较，掩码和布尔逻辑](9.8.md)
+    +   [9.9 花式索引](9.9.md)
+    +   [9.10 数组排序](9.10.md)
+    +   [9.11 结构化数据：NumPy 的结构化数组](9.11.md)

docs/8.md

+# 八、Matplotlib
\ No newline at end of file

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