├── .gitignore ├── docker安装文档.md ├── drf教程 ├── .DS_Store └── drf教程.md ├── flask-tutorial ├── README.md └── flask-project │ ├── app │ ├── __init__.py │ ├── app_1 │ │ ├── __init__.py │ │ └── views.py │ └── app_2 │ │ ├── __init__.py │ │ └── views.py │ └── manage.py ├── gitnotes.md ├── learnroute.md ├── mysql_learning_notes ├── mysql_advance.md ├── mysql_notes.md └── mysql_quiz.md ├── pics ├── 1_4Pn00ch_p4DTCb4r3naCDQ.png ├── 1_FwL7mJ4qpQWZnommC5tsFQ.png ├── binarysearchtree.png ├── bst.png └── linkedlist.png ├── python-data-analysis ├── .gitignore ├── Appendix-A │ ├── A.1 ndarray Object Internals（ndarray对象的内部）.ipynb │ ├── A.2 Advanced Array Manipulation（数组操作的高级用法）.ipynb │ ├── A.3 Broadcasting（广播）.ipynb │ ├── A.4 Advanced ufunc Usage（高级ufunc用法）.ipynb │ ├── A.5 Structured and Record Arrays（结构化数组和记录数组）.ipynb │ ├── A.6 More About Sorting（关于排序）.ipynb │ ├── A.7 Writing Fast NumPy Functions with Numba（利用Numba构建快速的NumPy函数）.ipynb │ ├── A.8 Advanced Array Input and Output（数组输入和输出的高级用法）.ipynb │ └── A.9 Performance Tips（性能贴士）.ipynb ├── Appendix-B │ ├── B.1 Using the Command History（使用命令行历史）.ipynb │ ├── B.2 Interacting with the Operating System（与操作系统交互）.ipynb │ ├── B.3 Software Development Tools（软件开发工具）.ipynb │ ├── B.4 Tips for Productive Code Development Using IPython（使用IPython进行有效开发的建议）.ipynb │ └── B.5 Advanced IPython Features（高级IPython特性）.ipynb ├── Chapter-01 │ ├── .ipynb_checkpoints │ │ ├── 1.1 What Is This Book About（这本书是关于什么的）-checkpoint.ipynb │ │ ├── 1.2 Why Python for Data Analysis（为什么使用Python做数据分析）-checkpoint.ipynb │ │ └── 1.3 Essential Python Libraries（一些重要的Python库）-checkpoint.ipynb │ ├── 1.1 What Is This Book About（这本书是关于什么的）.ipynb │ ├── 1.2 Why Python for Data Analysis（为什么使用Python做数据分析）.ipynb │ ├── 1.3 Essential Python Libraries（一些重要的Python库）.ipynb │ ├── 1.4 Installation and Setup（安装和设置）.ipynb │ ├── 1.5 Community and Conferences（社区和讨论组）+ 私货.ipynb │ └── 1.6 Navigating This Book（本书导航）.ipynb ├── Chapter-02 │ ├── .ipynb_checkpoints │ │ └── 2.2 IPython基础-checkpoint.ipynb │ ├── 2.1 The Python Interpreter（python解释器）.ipynb │ ├── 2.2 IPython基础.ipynb │ ├── 2.3 Python语言基础.ipynb │ ├── README.md │ └── chp02-Introduction(2013).ipynb ├── Chapter-03 │ ├── 3.1 Data Structures and Sequences (数据结构与序列).ipynb │ ├── 3.2 Functions (函数).ipynb │ └── 3.3 Files and the Operating System (文件以及操作系统).ipynb ├── Chapter-04 │ ├── .ipynb_checkpoints │ │ ├── 4.1 The NumPy ndarray（多维数组对象）-checkpoint.ipynb │ │ ├── 4.3 Array-Oriented Programming with Arrays（数组导向编程）-checkpoint.ipynb │ │ ├── 4.4 File Input and Output with Arrays（通过数组来进行文件的输入和输出）-checkpoint.ipynb │ │ ├── 4.5 Linear Algebra (线性代数)-checkpoint.ipynb │ │ └── 4.7 Example Random Walks（一个例子：随机漫步）-checkpoint.ipynb │ ├── 4.1 The NumPy ndarray（多维数组对象）.ipynb │ ├── 4.2 Universal Functions (通用函数).ipynb │ ├── 4.3 Array-Oriented Programming with Arrays（数组导向编程）.ipynb │ ├── 4.4 File Input and Output with Arrays（通过数组来进行文件的输入和输出）.ipynb │ ├── 4.5 Linear Algebra (线性代数).ipynb │ ├── 4.6 Pseudorandom Number Generation（伪随机数生成）.ipynb │ └── 4.7 Example Random Walks（一个例子：随机漫步）.ipynb ├── Chapter-05 │ ├── 5.1 Introduction to pandas Data Structures（pandas的数据结构）.ipynb │ ├── 5.2 Essential Functionality（主要功能）.ipynb │ └── 5.3 Summarizing and Computing Descriptive Statistics（总结和描述性统计）.ipynb ├── Chapter-06 │ ├── 6.1 Reading and Writing Data in Text Format (以文本格式读取和写入数据).ipynb │ ├── 6.2 Binary Data Formats (二进制数据格式).ipynb │ ├── 6.3 Interacting with Web APIs (网络相关的API交互).ipynb │ └── 6.4 Interacting with Databases(与数据库的交互).ipynb ├── Chapter-07 │ ├── 7.1 Handling Missing Data（处理缺失数据）.ipynb │ ├── 7.2 Data Transformation（数据变换）.ipynb │ └── 7.3 String Manipulation（字符串处理）.ipynb ├── Chapter-08 │ ├── 8.1 Hierarchical Indexing（分层索引）.ipynb │ ├── 8.2 Combining and Merging Datasets（合并数据集）.ipynb │ └── 8.3 Reshaping and Pivoting（整形和旋转）.ipynb ├── Chapter-09 │ ├── 9.1 A Brief matplotlib API Primer（一个简单的matplotlib API入门）.ipynb │ ├── 9.2 Plotting with pandas and seaborn（用pandas和seaborn绘图）.ipynb │ └── 9.3 Other Python Visualization Tools（其他一些Python可视化工具）.ipynb ├── Chapter-10 │ ├── 10.1 GroupBy Mechanics（分组机制）.ipynb │ ├── 10.2 Data Aggregation（数据聚合）.ipynb │ ├── 10.3 Apply：General split-apply-combine（应用：通常的分割-应用-合并）.ipynb │ └── 10.4 Pivot Tables and Cross-Tabulation（数据透视表和交叉表）.ipynb ├── Chapter-11 │ ├── 11.1 Date and Time Data Types and Tools（日期和时间数据类型及其工具）.ipynb │ ├── 11.2 Time Series Basics（时间序列基础）.ipynb │ ├── 11.3 Date Ranges, Frequencies, and Shifting（日期范围，频度，和位移）.ipynb │ ├── 11.4 Time Zone Handling（时区处理）.ipynb │ ├── 11.5 Periods and Period Arithmetic（周期和周期运算）.ipynb │ ├── 11.6 Resampling and Frequency Conversion（重采样和频度转换）.ipynb │ └── 11.7 Moving Window Functions（移动窗口函数）.ipynb ├── Chapter-12 │ ├── 12.1 Categorical Data（类别数据）.ipynb │ ├── 12.2 Advanced GroupBy Use（高级GroupBy用法）.ipynb │ └── 12.3 Techniques for Method Chaining（方法链接的技巧）.ipynb ├── Chapter-13 │ ├── 13.1 Interfacing Between pandas and Model Code（pandas与建模代码间的交互）.ipynb │ ├── 13.2 Creating Model Descriptions with Patsy（利用Patsy创建模型描述）.ipynb │ ├── 13.3 Introduction to statsmodels（statsmodels简介）.ipynb │ └── 13.4 Introduction to scikit-learn（scikit-learn简介）.ipynb ├── Chapter-14 │ ├── .ipynb_checkpoints │ │ └── 14.1 USA.gov Data from Bitly（USA.gov数据集）-checkpoint.ipynb │ ├── 14.1 USA.gov Data from Bitly（USA.gov数据集）.ipynb │ ├── 14.2 MovieLens 1M Dataset（MovieLens 1M数据集）.ipynb │ ├── 14.3 US Baby Names 1880–2010（1880年至2010年美国婴儿姓名）.ipynb │ ├── 14.4 USDA Food Database（USDA食品数据库）.ipynb │ └── 14.5 2012 Federal Election Commission Database（2012联邦选举委员会数据库）.ipynb ├── MarkdownPhotos │ ├── chp03 │ │ ├── 屏幕快照 2017-10-24 上午9.38.24.png │ │ ├── 屏幕快照 2017-10-24 上午9.48.27.png │ │ ├── 屏幕快照 2017-10-24 上午9.50.36.png │ │ ├── 屏幕快照 2017-10-25 下午1.59.36.png │ │ ├── 屏幕快照 2017-10-25 下午2.01.37.png │ │ └── 屏幕快照 2017-10-25 下午2.04.40.png │ └── chp04 │ │ ├── v2-a7f1c996c371d1167a0fb7b5273c6d01_r.jpg │ │ ├── 屏幕快照 2017-10-24 下午1.04.36.png │ │ ├── 屏幕快照 2017-10-24 下午1.04.36_cn.png │ │ ├── 屏幕快照 2017-10-24 下午1.15.52.png │ │ ├── 屏幕快照 2017-10-24 下午1.15.52_cn.PNG │ │ ├── 屏幕快照 2017-10-24 下午2.08.18.png │ │ ├── 屏幕快照 2017-10-24 下午2.41.52.png │ │ ├── 屏幕快照 2017-10-25 下午1.19.41.png │ │ ├── 屏幕快照 2017-10-25 下午1.21.08.png │ │ └── 屏幕快照 2017-10-25 下午1.21.42.png ├── README.ipynb ├── README.md ├── datasets │ ├── babynames │ │ ├── NationalReadMe.pdf │ │ ├── yob1880.txt │ │ ├── yob1881.txt │ │ ├── yob1882.txt │ │ ├── yob1883.txt │ │ ├── yob1884.txt │ │ ├── yob1885.txt │ │ ├── yob1886.txt │ │ ├── yob1887.txt │ │ ├── yob1888.txt │ │ ├── yob1889.txt │ │ ├── yob1890.txt │ │ ├── yob1891.txt │ │ ├── yob1892.txt │ │ ├── yob1893.txt │ │ ├── yob1894.txt │ │ ├── yob1895.txt │ │ ├── yob1896.txt │ │ ├── yob1897.txt │ │ ├── yob1898.txt │ │ ├── yob1899.txt │ │ ├── yob1900.txt │ │ ├── yob1901.txt │ │ ├── yob1902.txt │ │ ├── yob1903.txt │ │ ├── yob1904.txt │ │ ├── yob1905.txt │ │ ├── yob1906.txt │ │ ├── yob1907.txt │ │ ├── yob1908.txt │ │ ├── yob1909.txt │ │ ├── yob1910.txt │ │ ├── yob1911.txt │ │ ├── yob1912.txt │ │ ├── yob1913.txt │ │ ├── yob1914.txt │ │ ├── yob1915.txt │ │ ├── yob1916.txt │ │ ├── yob1917.txt │ │ ├── yob1918.txt │ │ ├── yob1919.txt │ │ ├── yob1920.txt │ │ ├── yob1921.txt │ │ ├── yob1922.txt │ │ ├── yob1923.txt │ │ ├── yob1924.txt │ │ ├── yob1925.txt │ │ ├── yob1926.txt │ │ ├── yob1927.txt │ │ ├── yob1928.txt │ │ ├── yob1929.txt │ │ ├── yob1930.txt │ │ ├── yob1931.txt │ │ ├── yob1932.txt │ │ ├── yob1933.txt │ │ ├── yob1934.txt │ │ ├── yob1935.txt │ │ ├── yob1936.txt │ │ ├── yob1937.txt │ │ ├── yob1938.txt │ │ ├── yob1939.txt │ │ ├── yob1940.txt │ │ ├── yob1941.txt │ │ ├── yob1942.txt │ │ ├── yob1943.txt │ │ ├── yob1944.txt │ │ ├── yob1945.txt │ │ ├── yob1946.txt │ │ ├── yob1947.txt │ │ ├── yob1948.txt │ │ ├── yob1949.txt │ │ ├── yob1950.txt │ │ ├── yob1951.txt │ │ ├── yob1952.txt │ │ ├── yob1953.txt │ │ ├── yob1954.txt │ │ ├── yob1955.txt │ │ ├── yob1956.txt │ │ ├── yob1957.txt │ │ ├── yob1958.txt │ │ ├── yob1959.txt │ │ ├── yob1960.txt │ │ ├── yob1961.txt │ │ ├── yob1962.txt │ │ ├── yob1963.txt │ │ ├── yob1964.txt │ │ ├── yob1965.txt │ │ ├── yob1966.txt │ │ ├── yob1967.txt │ │ ├── yob1968.txt │ │ ├── yob1969.txt │ │ ├── yob1970.txt │ │ ├── yob1971.txt │ │ ├── yob1972.txt │ │ ├── yob1973.txt │ │ ├── yob1974.txt │ │ ├── yob1975.txt │ │ ├── yob1976.txt │ │ ├── yob1977.txt │ │ ├── yob1978.txt │ │ ├── yob1979.txt │ │ ├── yob1980.txt │ │ ├── yob1981.txt │ │ ├── yob1982.txt │ │ ├── yob1983.txt │ │ ├── yob1984.txt │ │ ├── yob1985.txt │ │ ├── yob1986.txt │ │ ├── yob1987.txt │ │ ├── yob1988.txt │ │ ├── yob1989.txt │ │ ├── yob1990.txt │ │ ├── yob1991.txt │ │ ├── yob1992.txt │ │ ├── yob1993.txt │ │ ├── yob1994.txt │ │ ├── yob1995.txt │ │ ├── yob1996.txt │ │ ├── yob1997.txt │ │ ├── yob1998.txt │ │ ├── yob1999.txt │ │ ├── yob2000.txt │ │ ├── yob2001.txt │ │ ├── yob2002.txt │ │ ├── yob2003.txt │ │ ├── yob2004.txt │ │ ├── yob2005.txt │ │ ├── yob2006.txt │ │ ├── yob2007.txt │ │ ├── yob2008.txt │ │ ├── yob2009.txt │ │ └── yob2010.txt │ ├── bitly_usagov │ │ └── example.txt │ ├── fec │ │ └── P00000001-ALL.csv.zip │ ├── haiti │ │ ├── Haiti.csv │ │ └── PortAuPrince_Roads │ │ │ ├── PortAuPrince_Roads.dbf │ │ │ ├── PortAuPrince_Roads.prj │ │ │ ├── PortAuPrince_Roads.sbn │ │ │ ├── PortAuPrince_Roads.sbx │ │ │ ├── PortAuPrince_Roads.shp │ │ │ ├── PortAuPrince_Roads.shx │ │ │ ├── PortAuPrince_Roads_README.txt │ │ │ └── PortAuPrince_Roads_sample.jpg │ ├── movielens │ │ ├── README │ │ ├── movies.dat │ │ ├── ratings.dat │ │ └── users.dat │ ├── mta_perf │ │ ├── Performance_LIBUS.xml │ │ ├── Performance_LIBUS.xsd │ │ ├── Performance_LIRR.xml │ │ ├── Performance_LIRR.xsd │ │ ├── Performance_MNR.xml │ │ ├── Performance_MNR.xsd │ │ ├── Performance_MTABUS.xml │ │ ├── Performance_MTABUS.xsd │ │ ├── Performance_NYCT.xml │ │ ├── Performance_NYCT.xsd │ │ ├── Performance_TBTA.xml │ │ ├── Performance_TBTA.xsd │ │ └── parse.py │ ├── titanic │ │ ├── genderclassmodel.csv │ │ ├── gendermodel.csv │ │ ├── test.csv │ │ └── train.csv │ └── usda_food │ │ └── database.json ├── docs │ ├── 0.前言.md │ ├── 1.机器学习概览.md │ └── 2.一个完整的机器学习项目.md ├── examples │ ├── array_archive.npz │ ├── array_compressed.npz │ ├── array_ex.txt │ ├── cprof_example.py │ ├── csv_mindex.csv │ ├── ex1.csv │ ├── ex1.xlsx │ ├── ex2.csv │ ├── ex2.xlsx │ ├── ex3.csv │ ├── ex3.txt │ ├── ex4.csv │ ├── ex5.csv │ ├── ex6.csv │ ├── ex7.csv │ ├── example.json │ ├── fdic_failed_bank_list.html │ ├── frame_pickle │ ├── ipython_bug.py │ ├── ipython_bug2.py │ ├── macrodata.csv │ ├── mydata.csv │ ├── mydata.h5 │ ├── mydata.sqlite │ ├── out.csv │ ├── pro_mod.py │ ├── segismundo.txt │ ├── sink.txt │ ├── some_array.npy │ ├── spx.csv │ ├── stinkbug.png │ ├── stock_px.csv │ ├── stock_px_2.csv │ ├── test_file.csv │ ├── tips.csv │ ├── tmp.txt │ ├── tseries.csv │ ├── volume.csv │ ├── yahoo_price.pkl │ └── yahoo_volume.pkl ├── images │ ├── Appendix │ │ ├── D-1.png │ │ ├── D-2.png │ │ ├── D-3.png │ │ ├── E_C-1.png │ │ ├── E_C-2.png │ │ ├── E_C-3.png │ │ ├── E_C-4.png │ │ ├── E_C-5.png │ │ ├── E_D-1.png │ │ ├── E_D-2.png │ │ ├── E_D-3.png │ │ └── E_D-4.png │ ├── MainPage │ │ └── ApacheCN-group.png │ ├── chapter_1 │ │ ├── 1-1.png │ │ ├── 1-10.png │ │ ├── 1-11.png │ │ ├── 1-12.png │ │ ├── 1-13.png │ │ ├── 1-14.png │ │ ├── 1-15.png │ │ ├── 1-16.png │ │ ├── 1-17.png │ │ ├── 1-18.png │ │ ├── 1-19.png │ │ ├── 1-2.png │ │ ├── 1-20.png │ │ ├── 1-21.png │ │ ├── 1-22.png │ │ ├── 1-23.png │ │ ├── 1-3.png │ │ ├── 1-4.png │ │ ├── 1-5.png │ │ ├── 1-6.png │ │ ├── 1-7.png │ │ ├── 1-8.png │ │ ├── 1-9.png │ │ ├── o-1-1.png │ │ └── t-1-1.png │ ├── chapter_10 │ │ ├── 10-1.png │ │ ├── 10-2.png │ │ ├── 10-3.png │ │ ├── 10-4.png │ │ ├── 10-5.png │ │ ├── 10-6.png │ │ ├── 10-7.png │ │ ├── 10-8.png │ │ ├── 10-9.png │ │ ├── E10-1.png │ │ └── E10-2.png │ ├── chapter_11 │ │ ├── 11-1.png │ │ ├── 11-10.png │ │ ├── 11-2.png │ │ ├── 11-4.png │ │ ├── 11-5.png │ │ ├── 11-6.png │ │ ├── 11-7.png │ │ ├── 11-8.png │ │ ├── 11-9.png │ │ ├── 4-7.png │ │ ├── e-11-1.jpg │ │ ├── e-11-2.png │ │ ├── e-11-3.png │ │ ├── e-11-4.png │ │ ├── e-11-5.png │ │ ├── e-11-6.png │ │ ├── e-11-7.png │ │ ├── e-11-8.png │ │ ├── o-11-1.jpg │ │ ├── o-11-10.png │ │ ├── o-11-11.png │ │ ├── o-11-12.png │ │ ├── o-11-13.png │ │ ├── o-11-14.png │ │ ├── o-11-15.png │ │ ├── o-11-16.png │ │ ├── o-11-17.png │ │ ├── o-11-18.png │ │ ├── o-11-19.png │ │ ├── o-11-2.png │ │ ├── o-11-3.png │ │ ├── o-11-4.png │ │ ├── o-11-5.png │ │ ├── o-11-6.png │ │ ├── o-11-7.png │ │ ├── o-11-8.png │ │ ├── o-11-9.png │ │ ├── t-11-1.jpg │ │ └── t-11-2.png │ ├── chapter_12 │ │ ├── 1.png │ │ ├── 2-2.png │ │ ├── 2.png │ │ ├── 3.png │ │ ├── 4-2.png │ │ ├── 4.png │ │ ├── 5.png │ │ └── 6.png │ ├── chapter_13 │ │ ├── 13-1.png │ │ ├── 13-10.png │ │ ├── 13-11.png │ │ ├── 13-12.png │ │ ├── 13-13.png │ │ ├── 13-14.png │ │ ├── 13-15.png │ │ ├── 13-2.png │ │ ├── 13-3.png │ │ ├── 13-4.png │ │ ├── 13-5.png │ │ ├── 13-6.png │ │ ├── 13-7 │ │ ├── 13-8.png │ │ ├── 13-9.png │ │ ├── e-13-1.png │ │ ├── e-13-2.png │ │ ├── o-13-1.png │ │ ├── o-13-10.png │ │ ├── o-13-11.png │ │ ├── o-13-12.png │ │ ├── o-13-13.png │ │ ├── o-13-14.png │ │ ├── o-13-15.png │ │ ├── o-13-16.png │ │ ├── o-13-17.png │ │ ├── o-13-18.png │ │ ├── o-13-19.png │ │ ├── o-13-2.png │ │ ├── o-13-20.png │ │ ├── o-13-21.png │ │ ├── o-13-22.png │ │ ├── o-13-23.png │ │ ├── o-13-24.png │ │ ├── o-13-4.png │ │ ├── o-13-5.png │ │ ├── o-13-6.png │ │ ├── o-13-7.png │ │ ├── o-13-8.png │ │ ├── o-13-9.png │ │ ├── t-13-1.png │ │ └── t-13-2.png │ ├── chapter_14 │ │ ├── 14-1.png │ │ ├── 14-11.PNG │ │ ├── 14-12.PNG │ │ ├── 14-13.PNG │ │ ├── 14-14.PNG │ │ ├── 14-15.jpg │ │ ├── 14-16.gif │ │ ├── 14-2.png │ │ ├── 14-3.png │ │ ├── 14-3E.PNG │ │ ├── 14-4.png │ │ ├── 14-4E.PNG │ │ ├── 14-5.png │ │ ├── 14-6.png │ │ ├── 14-7.png │ │ ├── 14-8.png │ │ ├── e-14-1.png │ │ ├── e-14-2.png │ │ ├── o-14-1.png │ │ ├── o-14-2.png │ │ ├── o-14-3.png │ │ ├── o-14-4.png │ │ ├── o-14-5.png │ │ └── o-14-6.png │ ├── chapter_15 │ │ ├── pic1.png │ │ ├── pic10.png │ │ ├── pic11.png │ │ ├── pic12.png │ │ ├── pic13.png │ │ ├── pic14.png │ │ ├── pic2.png │ │ ├── pic3.png │ │ ├── pic4.png │ │ ├── pic5.png │ │ ├── pic6.png │ │ ├── pic7.png │ │ ├── pic8.png │ │ └── pic9.png │ ├── chapter_16 │ │ ├── 16-1.png │ │ ├── 16-10.png │ │ ├── 16-2.png │ │ ├── 16-3.png │ │ ├── 16-4.png │ │ ├── 16-5.png │ │ ├── 16-6.png │ │ ├── 16-7.png │ │ ├── 16-8.png │ │ ├── 16-9.png │ │ ├── E16-1.png │ │ ├── E16-2.png │ │ ├── E16-3.png │ │ ├── E16-4.png │ │ ├── E16-5.png │ │ ├── E16-6.png │ │ └── E16-7.png │ ├── chapter_2 │ │ ├── 2-1.png │ │ ├── 2-10.png │ │ ├── 2-11.png │ │ ├── 2-12.png │ │ ├── 2-13.png │ │ ├── 2-14.png │ │ ├── 2-15.png │ │ ├── 2-16.png │ │ ├── 2-2.png │ │ ├── 2-3.png │ │ ├── 2-4.png │ │ ├── 2-5.png │ │ ├── 2-6.png │ │ ├── 2-7.png │ │ ├── 2-8.png │ │ ├── 2-9.png │ │ ├── e-2-1.png │ │ ├── e-2-2.png │ │ ├── o-2-1.png │ │ ├── o-2-2.png │ │ ├── o-2-3.png │ │ └── o-2-4.png │ ├── chapter_3 │ │ ├── chapter3.1.jpeg │ │ ├── chapter3.10.jpeg │ │ ├── chapter3.11.jpeg │ │ ├── chapter3.12.jpeg │ │ ├── chapter3.2.jpeg │ │ ├── chapter3.3.jpeg │ │ ├── chapter3.4.jpeg │ │ ├── chapter3.5.jpeg │ │ ├── chapter3.6.jpeg │ │ ├── chapter3.7.jpeg │ │ ├── chapter3.8.jpeg │ │ └── chapter3.9.jpeg │ ├── chapter_4 │ │ ├── 图4-1.PNG │ │ ├── 图4-10.PNG │ │ ├── 图4-11.PNG │ │ ├── 图4-12.PNG │ │ ├── 图4-13.PNG │ │ ├── 图4-14.PNG │ │ ├── 图4-15.PNG │ │ ├── 图4-16.PNG │ │ ├── 图4-17.PNG │ │ ├── 图4-18.PNG │ │ ├── 图4-19.PNG │ │ ├── 图4-2.PNG │ │ ├── 图4-20.PNG │ │ ├── 图4-21.PNG │ │ ├── 图4-22.PNG │ │ ├── 图4-23.PNG │ │ ├── 图4-24.PNG │ │ ├── 图4-25.PNG │ │ ├── 图4-3.PNG │ │ ├── 图4-4.PNG │ │ ├── 图4-5.PNG │ │ ├── 图4-6.PNG │ │ ├── 图4-7.PNG │ │ ├── 图4-8.PNG │ │ ├── 图4-9.PNG │ │ └── 表4-1.PNG │ ├── chapter_5 │ │ ├── 5-1.jpg │ │ ├── 5-10.jpg │ │ ├── 5-11.jpg │ │ ├── 5-12.jpg │ │ ├── 5-13.jpg │ │ ├── 5-2.jpg │ │ ├── 5-3.jpg │ │ ├── 5-4.jpg │ │ ├── 5-5.jpg │ │ ├── 5-6.jpg │ │ ├── 5-7.jpg │ │ ├── 5-8.jpg │ │ ├── 5-9.jpg │ │ ├── 5-hinge.jpg │ │ ├── eq-5-10.gif │ │ ├── eq-5-11.gif │ │ ├── eq-5-12.gif │ │ ├── eq-5-13.gif │ │ ├── eq-5-2.gif │ │ ├── eq-5-3.gif │ │ ├── eq-5-4.gif │ │ ├── eq-5-5.gif │ │ ├── eq-5-6.gif │ │ ├── eq-5-7.gif │ │ ├── eq-5-8.gif │ │ ├── eq-5-9.gif │ │ └── tb-5-1.jpg │ ├── chapter_6 │ │ ├── 102 │ │ ├── 103 │ │ ├── 104 │ │ ├── 105 │ │ ├── 106 │ │ ├── 107 │ │ ├── 108 │ │ ├── 109 │ │ ├── 110 │ │ ├── 111 │ │ ├── 102.jpg │ │ ├── Figure6-1.jpeg │ │ └── Figure6-2.jpeg │ ├── chapter_7 │ │ ├── 7-1.png │ │ ├── 7-10.png │ │ ├── 7-11.png │ │ ├── 7-12.png │ │ ├── 7-13.png │ │ ├── 7-14.png │ │ ├── 7-15.png │ │ ├── 7-2.png │ │ ├── 7-3.png │ │ ├── 7-4.png │ │ ├── 7-5.png │ │ ├── 7-6.png │ │ ├── 7-7.png │ │ ├── 7-8.png │ │ ├── 7-9.png │ │ ├── E7-1.png │ │ ├── E7-2.png │ │ ├── E7-3.png │ │ └── E7-4.png │ ├── chapter_8 │ │ ├── 8-1.gif │ │ ├── 8-10.jpeg │ │ ├── 8-11.jpeg │ │ ├── 8-12.jpeg │ │ ├── 8-13.jpeg │ │ ├── 8-2.jpeg │ │ ├── 8-3.gif │ │ ├── 8-4.jpeg │ │ ├── 8-5.jpeg │ │ ├── 8-6.jpeg │ │ ├── 8-7.jpeg │ │ ├── 8-8.jpeg │ │ ├── 8-9.gif │ │ ├── e-8-1.gif │ │ ├── e-8-2.gif │ │ └── e-8-3.gif │ ├── chapter_9 │ │ ├── 20171030144740842.jpg │ │ ├── 9-1.png │ │ ├── 9-2.png │ │ ├── 9-5.png │ │ ├── 9-6.png │ │ ├── 9-7.png │ │ ├── 9-8.png │ │ ├── 9-9.png │ │ ├── Tbale 9-1.png │ │ ├── e-9-1.png │ │ ├── o-9-1.png │ │ ├── o-9-2.png │ │ └── o-9-3.png │ ├── tex-003d289de50330b0e7b49f10b89376a1.gif │ ├── tex-01f3c699a2735a0d9a7311d672fd676c.gif │ ├── tex-02129bb861061d1a052c592e2dc6b383.gif │ ├── tex-03549015bd48d379883d926e6857b448.gif │ ├── tex-046a5ffa6a06b4da61d932c172876785.gif │ ├── tex-05e42209d67fe1eb15a055e9d3b3770e.gif │ ├── tex-0678caa04da34220a4e8dc041488b618.gif │ ├── tex-06cb4d354d727ce57e41e605967958a6.gif │ ├── tex-07be34d7c17f39052675948cb5b75838.gif │ ├── tex-07d3e0eb59fb1b95dc15ecc6cb36a65c.gif │ ├── tex-0813d4c773da5a66df9cb7b0bfbd1b83.gif │ ├── tex-08954b8bb8bd0acc7ef086b12af7c051.gif │ ├── tex-08bc7e7224cfe0e39e04b69d4ed96298.gif │ ├── tex-091a36c336b9f86ac488b9e8ac0e0ffa.gif │ ├── tex-095a09304bbece2585736594cca6bdbf.gif │ ├── tex-0a6ec28a2cbecd4689769c2944b222e8.gif │ ├── tex-0b092886509724e44645878e1391a65d.gif │ ├── tex-0d61f8370cad1d412f80b84d143e1257.gif │ ├── tex-0e2ae329177722b1818828e92b441032.gif │ ├── tex-0fe16f5f8178c40813008f32155da044.gif │ ├── tex-11096ba55e57b0ba1b35efb241f87569.gif │ ├── tex-11b3b872c168f182e8efc0bec2e6a0c5.gif │ ├── tex-12561b9e1cad1ffa385140c6c5cf9c12.gif │ ├── tex-13a76ab7828e251bd489e22172ce700a.gif │ ├── tex-13ada0b94f610ad731b13dd5262af022.gif │ ├── tex-1599eafa9c8919b48a73745c7b9a5fc5.gif │ ├── tex-162751afe7e0aa904426973dbac3654e.gif │ ├── tex-1721011d2159c98b89cc63e73846d511.gif │ ├── tex-17227d892ae518eab12eb3f0e596f1a0.gif │ ├── tex-17241d7ea090e8a7be55cacfcd5b2768.gif │ ├── tex-1a3f1413f9e9a5f7fec99ac5f57eed2d.gif │ ├── tex-1b105b1e9533074584d7bc91d314181d.gif │ ├── tex-1bb7df78b5126fbb166bb08b7c137863.gif │ ├── tex-1c5fbe6b94a96589df8cc11e20542e17.gif │ ├── tex-1cf5205e2548cc4e0ce9e5343ab1a377.gif │ ├── tex-1fda7e8979ad0fdf4a2022ee529661d0.gif │ ├── tex-2046197f9491e759ad46d9ee09227c01.gif │ ├── tex-222e2caf9c7b49d3432466e360eceba6.gif │ ├── tex-224150d7a099d199fc7bbb324fee9d18.gif │ ├── tex-224ba64bbd16cef44085c714ff69b794.gif │ ├── tex-2269a88821d5d3de138b9db0abc1e977.gif │ ├── tex-2317793a8de61ab32c0f17adff9ea8d4.gif │ ├── tex-2381690b73b9410210542c6128e83b96.gif │ ├── tex-24ff843f62db9062b4bb1fba4040c10f.gif │ ├── tex-2510c39011c5be704182423e3a695e91.gif │ ├── tex-2554a2bb846cffd697389e5dc8912759.gif │ ├── tex-25d23c777ed15931c5e6af6f459eadd1.gif │ ├── tex-278b53f78b9dfab8af68fcc67e05352a.gif │ ├── tex-27afe5e7581cb89a36bafc735b501d7a.gif │ ├── tex-28175dc40d9c53d6d2c186a7817cf866.gif │ ├── tex-2aa447f3144cccc2865e6268c583f0f3.gif │ ├── tex-2af21bba0125e128c29545114eff5254.gif │ ├── tex-2b4fc5fcdceb2e12c666415e9ebb793a.gif │ ├── tex-2c3db681686c1b080e21688bf57b256a.gif │ ├── tex-2d275b176c3436e8981c70371f474c9c.gif │ ├── tex-2ef1c91a9cc8eeb7da8227d4016d702e.gif │ ├── tex-300421691992dc61be5e7d43d5055f48.gif │ ├── tex-3071526a1b0f8639644eaba81ce73a74.gif │ ├── tex-31ba2ac7dbc438cef695358d6e49deb3.gif │ ├── tex-31f8dedd0a66fb646ef261c638243923.gif │ ├── tex-328b39f0c7d087f501c1f45ed2b361e5.gif │ ├── tex-32cb6265eb19ce4be37ecf6650ff766a.gif │ ├── tex-33cd333cb7829514ab8458aceea1822f.gif │ ├── tex-34467e055b13f0b121c681019d962b9b.gif │ ├── tex-347b979a3eaaf423a7c376ba475f1313.gif │ ├── tex-3550fe5e2cae185a9af7235e7f7fb05d.gif │ ├── tex-363b122c528f54df4a0446b6bab05515.gif │ ├── tex-36b0a218756e1ba51470a7bb00b5e592.gif │ ├── tex-378b3eaa9c01f52bc8987807984a5a88.gif │ ├── tex-388f554901ba5d77339eec8b26beebea.gif │ ├── tex-399b8bab86aa930cdbf5c93b2e3fa818.gif │ ├── tex-3a4d978e6657d768ca9a800d0e1a8130.gif │ ├── tex-3a877201402d7cd2b9d3f5b726d22b24.gif │ ├── tex-3b5f49ee9fe10430f81eeef7000f1b30.gif │ ├── tex-3b6ed467ca1ae09aeafe40f4b40251c7.gif │ ├── tex-3baf1600ae50930a155f58ae172b51bd.gif │ ├── tex-3d189a2e226493acc6538bcd3e9cb366.gif │ ├── tex-3d7e996adfe310516ca31c796df1ce8c.gif │ ├── tex-3e0d691f3a530e6c7e079636f20c111b.gif │ ├── tex-3fd16a45c4fce610740da450e9f5a283.gif │ ├── tex-408378e8bc55170258126d10000c53d9.gif │ ├── tex-414889b175f816852566907db5edd6a5.gif │ ├── tex-415290769594460e2e485922904f345d.gif │ ├── tex-41597a9c5a695c5c787dd1662a8209f8.gif │ ├── tex-421556b6c8203ded772656e90a1a570c.gif │ ├── tex-421570724060381e95985593de9d77c9.gif │ ├── tex-43bfb04cdbbd85ad21489e8e2dc853ed.gif │ ├── tex-43c5783d36b015e36edeecd60da73206.gif │ ├── tex-4443b7e9e72b482475432b88c0e4fdd8.gif │ ├── tex-44e3acde9f1b11682289b6069b6f2a1f.gif │ ├── tex-473ca654ad0c07c3dbc07a22718b1aa3.gif │ ├── tex-477cbb96bb2678c1997aa41503661c04.gif │ ├── tex-47a1cfce155783c735e46b38d6513419.gif │ ├── tex-49432ed302ad60b5818085cb01e642f1.gif │ ├── tex-4a5d1969fe1ef947082a32d547c247d7.gif │ ├── tex-4a7d22b39e93fbbcbe107e7a19e8bd34.gif │ ├── tex-4b43b0aee35624cd95b910189b3dc231.gif │ ├── tex-4b7a4c54b57c9297141ab648398f6dfc.gif │ ├── tex-4b9ba7fdd541374f7e1e0572e6a0be1e.gif │ ├── tex-4bd72e5d0ad65c82e878dfcf2d29815b.gif │ ├── tex-4be66ad2cf5c98540db20bd7df0c0413.gif │ ├── tex-4c5645510c6b63f6bd0c770fceea4ac1.gif │ ├── tex-4d58b6f45f2e33f3ceb537b2b174c09b.gif │ ├── tex-4e016baa468f852047bbbc1b171743ac.gif │ ├── tex-4ea0442e4bfe65a2c6cc6c5be89101ae.gif │ ├── tex-4f717d5e747701b3301e39c21191ae17.gif │ ├── tex-5034ed18fa4c81ee7bc176f0a4cbab80.gif │ ├── tex-50eeccb6ef846e2d0af5daef5cab1fa0.gif │ ├── tex-50f17e5c11d610b19c0471830dc4dda1.gif │ ├── tex-53e90522ca559971bb2d9d6009b82a44.gif │ ├── tex-53eba210fc14ef60860265ec70fb718d.gif │ ├── tex-54552e28fe2d86eb74de3db6abb5aab8.gif │ ├── tex-5471cac883ad5dad10d1cc1d7348aafb.gif │ ├── tex-56662b2579440b8c9f02e9c09b8b021d.gif │ ├── tex-56ac14615d54896bf04d40cde6bc37f7.gif │ ├── tex-5869b95a3404e737433d626520200848.gif │ ├── tex-588e5b81fdcbbd6dd55e2195663fab41.gif │ ├── tex-589d5ea135d64a89f9293ab5186fc53a.gif │ ├── tex-595a140c599de3ceab7b72d4aaab8a41.gif │ ├── tex-595b3d916d7b666f7cec8f222f665759.gif │ ├── tex-5b9a77af89d04a685b4f649da485aed3.gif │ ├── tex-5c180c9b9130b5dacda464ca73ee8f1e.gif │ ├── tex-5c3b6b00cffc9732138715003b0e557a.gif │ ├── tex-5c71c1287e7a6b8fef19874c553b0cd4.gif │ ├── 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│ │ └── train.csv │ ├── kaggle-titanic.ipynb │ └── submission_result.csv └── 链家二手房数据分析 │ ├── README.md │ ├── lianjia.csv │ └── 链家二手房数据分析一.ipynb ├── python_learning_notes ├── about_celery.md ├── about_decorators.py ├── about_elasticsearch.md ├── about_unittest.md ├── accounts.json ├── fabric_tutorial.md ├── python_advance.md ├── python_epoll.md ├── python_generator.md └── some_snippets.md ├── shell_scripts ├── awk_sed_grep.md └── shell_tutorial.md ├── 学习资料 ├── studytutorial.md ├── 技能点.md └── 面试题.md ├── 数据结构与算法基础.md └── 自己编写模板引擎 ├── .DS_Store └── template.py /.gitignore: -------------------------------------------------------------------------------- 1 | .DS_Store 2 | .vscode 3 | __pycache__ 4 | -------------------------------------------------------------------------------- /docker安装文档.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/confucianzuoyuan/python-tutorials/HEAD/docker安装文档.md 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