Name		Name	Last commit message	Last commit date
Latest commit History 68 Commits
data		data
datasets		datasets
ebook/利用python进行数据分析		ebook/利用python进行数据分析
examples		examples
exercise		exercise
images		images
.gitignore		.gitignore
02_python_basic_grammar.ipynb		02_python_basic_grammar.ipynb
03_python_data_structure.ipynb		03_python_data_structure.ipynb
04.00_numpy补充.ipynb		04.00_numpy补充.ipynb
04.01numpy.ipynb		04.01numpy.ipynb
04.05_numpy_computation_on_arrays_broadcasting.ipynb		04.05_numpy_computation_on_arrays_broadcasting.ipynb
04.06_numpy_Boolean_arrays_and_masks.ipynb		04.06_numpy_Boolean_arrays_and_masks.ipynb
04.07_numpy_fancy_indexing.ipynb		04.07_numpy_fancy_indexing.ipynb
04.08_numpy_sorting.ipynb		04.08_numpy_sorting.ipynb
04.09_numpy_structured_data.ipynb		04.09_numpy_structured_data.ipynb
04_10.numpy_practice.ipynb		04_10.numpy_practice.ipynb
05.00_Pandas补充.ipynb		05.00_Pandas补充.ipynb
05.00_pandas_introduction.ipynb		05.00_pandas_introduction.ipynb
05.01_Introducing_Pandas_Objects.ipynb		05.01_Introducing_Pandas_Objects.ipynb
05.02_Data_Indexing_and_Selection.ipynb		05.02_Data_Indexing_and_Selection.ipynb
05.03_Pandas_Operations.ipynb		05.03_Pandas_Operations.ipynb
05.04_Pandas_Missing_Values.ipynb		05.04_Pandas_Missing_Values.ipynb
05.05_Pandas_Hierachical_Indexing.ipynb		05.05_Pandas_Hierachical_Indexing.ipynb
05.06_Pandas_Concat_And_Append.ipynb		05.06_Pandas_Concat_And_Append.ipynb
05.07_Pandas_Merge_and_Join.ipynb		05.07_Pandas_Merge_and_Join.ipynb
05.08_Pandas_Aggregation_and_Grouping.ipynb		05.08_Pandas_Aggregation_and_Grouping.ipynb
05.09_Pandas_Pivot_Tables.ipynb		05.09_Pandas_Pivot_Tables.ipynb
05.10_Pandas_Working_With_String.ipynb		05.10_Pandas_Working_With_String.ipynb
05.11_Pandas_Working_With_Time_Series.ipynb		05.11_Pandas_Working_With_Time_Series.ipynb
05.13_Panda_High_Performance_eval_and_query.ipynb		05.13_Panda_High_Performance_eval_and_query.ipynb
05.14_Pandas_save_and_read_data.ipynb		05.14_Pandas_save_and_read_data.ipynb
05.15_Pandas_数据清洗和准备.ipynb		05.15_Pandas_数据清洗和准备.ipynb
05.16_Pandas数据规整_聚合、合并与重塑.ipynb		05.16_Pandas数据规整_聚合、合并与重塑.ipynb
05.17_Pandas_数据聚合与分组运算.ipynb		05.17_Pandas_数据聚合与分组运算.ipynb
05.18_Pandas_时间序列.ipynb		05.18_Pandas_时间序列.ipynb
05.19_Pandas_高级.ipynb		05.19_Pandas_高级.ipynb
05.20_Pandas_数据分析案例.ipynb		05.20_Pandas_数据分析案例.ipynb
06.00_Matplotlib_bar.ipynb		06.00_Matplotlib_bar.ipynb
06.00_Matplotlib数据可视化.ipynb		06.00_Matplotlib数据可视化.ipynb
06.01_直方图_数据区间划分.ipynb		06.01_直方图_数据区间划分.ipynb
06.02_配置图例.ipynb		06.02_配置图例.ipynb
06.03_配置颜色条.ipynb		06.03_配置颜色条.ipynb
06.04_多子图.ipynb		06.04_多子图.ipynb
06.05_文字与注释.ipynb		06.05_文字与注释.ipynb
06.06_自定义坐标轴刻度.ipynb		06.06_自定义坐标轴刻度.ipynb
06.07_自定义画图风格.ipynb		06.07_自定义画图风格.ipynb
06.08_三维图.ipynb		06.08_三维图.ipynb
06.09_Seaborn数据可视化.ipynb		06.09_Seaborn数据可视化.ipynb
07_00.scipy.ipynb		07_00.scipy.ipynb
README.md		README.md
test.ipynb		test.ipynb
test.py		test.py

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英语部分为《python数据科学手册》 05.15以后为《利用python进行数据分析》

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