chrisalbon's
repositories
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.idea
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.ipynb_checkpoints
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data
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example_exploring_border_crossing_data_files
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html
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incomplete_snippets
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misc
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old_snippets
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Applying_Conditional_Functions_To_List_Items.ipynb
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Applying_Functions_To_List_Items.ipynb
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apply_operations_over_items_in_lists.ipynb
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arithmetic_basics.ipynb
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assignment_operators.ipynb
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beautiful_soup_drill_down.ipynb
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beautiful_soup_html_basics.ipynb
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beautiful_soup_scrape_table.ipynb
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beautiful_soup_scraping_into_pandas.ipynb
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breaking_up_string_variables.ipynb
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brute_force_d20_simulator.ipynb
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built_in_object_types.ipynb
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cartesian_product.ipynb
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cleaning_text.ipynb
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continue_and_break_loops.ipynb
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convert_categorical_to_numeric_naively.ipynb
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create_list_from_dictionary_keys_and_values.ipynb
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creating_numpy_arrays.ipynb
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csv_to_python_code.ipynb
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data_structure_basics.ipynb
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dataset_prussian_horse_kicks.ipynb
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dataset_war_of_five_kings.ipynb
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date_and_time_basics.ipynb
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dictionary_basics.ipynb
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escape_sequences.ipynb
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example_data_wrangling_baby_names.ipynb
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example_exploring_border_crossing_data.ipynb
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filter_items_in_list_with_filter.ipynb
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flatten_list_of_lists.ipynb
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for_loops.ipynb
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format_method_for_strings.ipynb
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function_basics.ipynb
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generating_random_numbers_with_numpy.ipynb
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ggplot_area_plot.ipynb
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ggplot_draw_line.ipynb
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ggplot_histogram.ipynb
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ggplot_line_plot.ipynb
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ggplot_save_as_vector.ipynb
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ggplot_scatterplot.ipynb
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if_and_if_else_statements.ipynb
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if_statement.ipynb
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indexing_and_slicing_numpy_arrays.ipynb
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ipython_display_image.ipynb
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ipython_display_video.ipynb
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ipython_run_script.ipynb
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iterate_ifelse_over_list.ipynb
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json_parse_file.ipynb
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kolmogorov_smirnov_test.ipynb
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lambda_functions.ipynb
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list_comprehension.ipynb
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list_comprehension_2.ipynb
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list_operations.ipynb
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logical_operations.ipynb
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math_operations.ipynb
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matplotlib_back_to_back_bar_plot.ipynb
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matplotlib_bar_plot.ipynb
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matplotlib_grouped_bar_plot.ipynb
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matplotlib_histogram.ipynb
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matplotlib_map_your_google_data-Copy0.ipynb
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matplotlib_map_your_google_data.ipynb
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matplotlib_percentage_stacked_bar_plot.ipynb
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matplotlib_pie_chart.ipynb
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matplotlib_plot_points_on_map.ipynb
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matplotlib_save_a_plot_as_vector.ipynb
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matplotlib_scatterplot_from_pandas.ipynb
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matplotlib_simple_example.ipynb
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matplotlib_simple_scatterplot.ipynb
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matplotlib_stacked_bar_plot.ipynb
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module_basics.ipynb
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nesting_lists.ipynb
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numpy_array_basic_operations.ipynb
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numpy_array_basics.ipynb
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numpy_indexing_and_slicing.ipynb
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pandas_apply_operations_to_dataframes.ipynb
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pandas_apply_operations_to_groups.ipynb
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pandas_binning_data.ipynb
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pandas_categorical_data.ipynb
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pandas_convert_categorical_to_dummies.ipynb
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pandas_convert_numeric_categorical_to_numeric_with_patsy.ipynb
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pandas_convert_string_categorical_to_numeric_with_patsy.ipynb
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pandas_convert_to_datetime.ipynb
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pandas_create_column_using_conditional.ipynb
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pandas_create_column_with_loop.ipynb
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pandas_crosstabs.ipynb
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pandas_data_structures.ipynb
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pandas_data_wrangling.ipynb
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pandas_dataframe_count_values.ipynb
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pandas_dataframe_descriptive_stats.ipynb
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pandas_dataframe_importing_csv.ipynb
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pandas_dataframe_load_xls.ipynb
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pandas_dataframe_ranking_rows.ipynb
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pandas_dataframe_reindexing.ipynb
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pandas_delete_duplicates.ipynb
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pandas_drop_column_containing_certain_string.ipynb
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pandas_dropping_column_and_rows.ipynb
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pandas_example_dataframes.ipynb
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pandas_expand_cells_containing_lists.ipynb
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pandas_find_largest_value_in_column.ipynb
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pandas_find_unique_values.ipynb
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pandas_group_rows_by.ipynb
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pandas_hierarchical_data.ipynb
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pandas_import_html_table.ipynb
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pandas_index_select_and_filter.ipynb
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pandas_indexing_selecting.ipynb
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pandas_iterate_over_rows_of_multiple_columns.ipynb
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pandas_join_merge_dataframe.ipynb
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pandas_list_comprehension.ipynb
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pandas_list_unique_values_in_column.ipynb
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pandas_long_to_wide.ipynb
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pandas_lowercase_column_names.ipynb
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pandas_make_new_columns_using_functions.ipynb
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pandas_map_values_to_values.ipynb
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pandas_missing_data.ipynb
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pandas_moving_average.ipynb
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pandas_outliers.ipynb
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pandas_pivot_tables.ipynb
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pandas_regex_to_create_columns.ipynb
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pandas_rename_multiple_columns.ipynb
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pandas_replace_values.ipynb
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pandas_resample_by_time.ipynb
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pandas_sample_dataframe.ipynb
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pandas_sampling_dataframe.ipynb
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pandas_saving_dataframe_as_csv.ipynb
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pandas_search_column_for_value.ipynb
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pandas_select_rows_containing_values.ipynb
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pandas_select_rows_multiple_filters.ipynb
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pandas_select_rows_when_column_has_certain_values.ipynb
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pandas_selecting_rows_on_conditions.ipynb
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pandas_sorting_rows_dataframe.ipynb
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pandas_split_lat_and_long_into_variables.ipynb
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pandas_string_munging.ipynb
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pandas_time_series_basics.ipynb
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pandas_transpose_dataframe.ipynb
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pandas_with_seaborn.ipynb
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polynomial_fitting.ipynb
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recursive_functions.ipynb
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regex_by_example.ipynb
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regular_expressions_basics.ipynb
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schedule_run_in_the_future.ipynb
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scipy_fitting_trendline.ipynb
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scipy_simple_clustering.ipynb
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seaborn_color_palettes.ipynb
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seaborn_pandas_timeseries_plot.ipynb
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seaborn_pretty_timeseries_plots.ipynb
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seaborn_scatterplot.ipynb
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set_the_color_of_a_matplotlib.ipynb
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snippet_template_1.ipynb
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standard_object_types.ipynb
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string_formatting.ipynb
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string_indexing.ipynb
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string_operations.ipynb
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strings_to_datetime.ipynb
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swapping_variable_values.ipynb
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testing_the_stack.ipynb
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while_statements.ipynb
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README.md
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code_py.sublime-workspace
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ipython_notebook.command
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stack_notes.md
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