├── .gitignore ├── README.md ├── appendix_b_python_crash_course └── appendix_b_python_crash_course.ipynb ├── appendix_c_numpy_crash_course └── appendix_c_numpy_crash_course.ipynb ├── appendix_d_generating_fake_data_with_faker └── appendix_d_generating_fake_data_with_faker.ipynb ├── appendix_e_regular_expressions ├── appendix_e_regular_expressions.ipynb └── ice_cream.csv ├── chapter_01_introducing_pandas ├── chapter_01_introducing_pandas.ipynb └── movies.csv ├── chapter_02_the_series_object └── chapter_02_the_series_object.ipynb ├── chapter_03_series_methods ├── chapter_03_series_methods.ipynb ├── google_stocks.csv ├── pokemon.csv └── revolutionary_war.csv ├── chapter_04_the_dataframe_object ├── chapter_04_the_dataframe_object.ipynb ├── nba.csv └── nfl.csv ├── chapter_05_filtering_a_dataframe ├── chapter_05_filtering_a_dataframe.ipynb ├── employees.csv └── netflix.csv ├── chapter_06_working_with_text_data ├── chapter_06_working_with_text_data.ipynb ├── chicago_food_inspections.csv └── customers.csv ├── chapter_07_multiindex_dataFrames ├── chapter_07_multiindex_dataframes.ipynb ├── investments.csv └── neighborhoods.csv ├── chapter_08_reshaping_and_pivoting ├── chapter_08_reshaping_and_pivoting.ipynb ├── minimum_wage.csv ├── recipes.csv ├── sales_by_employee.csv ├── used_cars.csv └── video_game_sales.csv ├── chapter_09_the_groupby_object ├── cereals.csv ├── chapter_09_the_groupby_object.ipynb └── fortune1000.csv ├── chapter_10_merging_joining_and_concatenating ├── chapter_10_merging_joining_and_concatenating.ipynb ├── meetup │ ├── categories.csv │ ├── cities.csv │ ├── groups1.csv │ └── groups2.csv └── restaurant │ ├── customers.csv │ ├── foods.csv │ ├── week_1_sales.csv │ ├── week_1_satisfaction.csv │ └── week_2_sales.csv ├── chapter_11_working_with_dates_and_times ├── chapter_11_working_with_dates_and_times.ipynb ├── citibike.csv ├── deliveries.csv └── disney.csv ├── chapter_12_imports_and_exports ├── .gitignore ├── Multiple Worksheets.xlsx ├── Single Worksheet.xlsx 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