├── .DS_Store ├── .idea ├── PyDataRoad.iml ├── misc.xml ├── modules.xml ├── vcs.xml └── workspace.xml ├── 01code ├── .DS_Store └── plotly │ └── 202203-plotly-yaxis-text-layout.ipynb ├── 01data ├── date.csv └── test.txt ├── 02photo ├── QR-Python数据之道.jpg ├── foot.jpg ├── qr-geizan.png ├── wechat-pay.png ├── wechat-qr.jpg └── xingqiu1.jpg ├── README.md ├── comprehensive ├── .DS_Store ├── Bokeh-data-visualization │ └── README.md ├── Plotly-Express-Introducing │ ├── .ipynb_checkpoints │ │ └── Plotly-Express-Introducing-checkpoint.ipynb │ ├── Plotly-Express-Introducing.ipynb │ └── README.md ├── Seaborn-data-visualization │ └── Data-Visualization-with-Seaborn-cn.ipynb ├── Tushare │ └── README.md ├── cheat-sheet │ └── Jupyter_Notebook_Cheat_Sheet.pdf ├── dataset │ └── README.md ├── matplotlib-pie │ └── matplotlib-pie.ipynb ├── numpy_basic │ ├── README.md │ └── numpy_notes_01.ipynb ├── pandas_df_sortby_custom_list │ ├── Pandas_sorting_by_a_custom_list.ipynb │ └── README.md └── wechat-msg-send │ └── wechat-message-send.py └── projects ├── .DS_Store ├── Stock-prediction-with-Python ├── Lesson 3 Basic Python for Data Analytics (Stocks Prediction).ipynb └── README.md ├── football-world-cup ├── README.md ├── football-world-cup-predict-2nd-post.ipynb ├── football-world-cup-top3-predict.ipynb └── results.csv ├── gaokaozw ├── 1952-1965.txt ├── 1977-1986.txt ├── 1987-1996.txt ├── 1997-2006.txt ├── 2007-2016.txt ├── README.md ├── colors.png ├── gaokao.py ├── gaokao.txt ├── gaokao_orange_cloud.jpg ├── orange.jpg ├── stopwords_user ├── 中文停用词库.txt ├── 哈工大停用词表.txt └── 四川大学机器智能实验室停用词库.txt ├── matplotlib-top-50-visualizations ├── README.md └── Top-50-Matplotlib-Visualizations-cn.ipynb ├── ufo ├── README.md └── UFO_analysis.ipynb └── zhilian_analysis ├── README.md ├── colors.png ├── word_cloud.py └── zhilian_data_analysis.ipynb /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/liyangbit/PyDataLab/HEAD/.DS_Store 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