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