code_py

Some well commented data science related code snippets in (mostly) Python 3. It was created by Chris Albon.

This collection of snippits is not comprehensive, and is in many places repetitive.

You can view all the snippits in iPython Notebook Viewer.

Name		Name	Last commit message	Last commit date
Latest commit History 81 Commits
.idea		.idea
.ipynb_checkpoints		.ipynb_checkpoints
data		data
example_exploring_border_crossing_data_files		example_exploring_border_crossing_data_files
html		html
incomplete_snippets		incomplete_snippets
misc		misc
old_snippets		old_snippets
Applying_Conditional_Functions_To_List_Items.ipynb		Applying_Conditional_Functions_To_List_Items.ipynb
Applying_Functions_To_List_Items.ipynb		Applying_Functions_To_List_Items.ipynb
README.md		README.md
apply_operations_over_items_in_lists.ipynb		apply_operations_over_items_in_lists.ipynb
arithmetic_basics.ipynb		arithmetic_basics.ipynb
assignment_operators.ipynb		assignment_operators.ipynb
beautiful_soup_drill_down.ipynb		beautiful_soup_drill_down.ipynb
beautiful_soup_html_basics.ipynb		beautiful_soup_html_basics.ipynb
beautiful_soup_scrape_table.ipynb		beautiful_soup_scrape_table.ipynb
beautiful_soup_scraping_into_pandas.ipynb		beautiful_soup_scraping_into_pandas.ipynb
breaking_up_string_variables.ipynb		breaking_up_string_variables.ipynb
brute_force_d20_simulator.ipynb		brute_force_d20_simulator.ipynb
built_in_object_types.ipynb		built_in_object_types.ipynb
cartesian_product.ipynb		cartesian_product.ipynb
cleaning_text.ipynb		cleaning_text.ipynb
code_py.sublime-workspace		code_py.sublime-workspace
continue_and_break_loops.ipynb		continue_and_break_loops.ipynb
convert_categorical_to_numeric_naively.ipynb		convert_categorical_to_numeric_naively.ipynb
create_list_from_dictionary_keys_and_values.ipynb		create_list_from_dictionary_keys_and_values.ipynb
creating_numpy_arrays.ipynb		creating_numpy_arrays.ipynb
csv_to_python_code.ipynb		csv_to_python_code.ipynb
data_structure_basics.ipynb		data_structure_basics.ipynb
dataset_prussian_horse_kicks.ipynb		dataset_prussian_horse_kicks.ipynb
dataset_war_of_five_kings.ipynb		dataset_war_of_five_kings.ipynb
date_and_time_basics.ipynb		date_and_time_basics.ipynb
dictionary_basics.ipynb		dictionary_basics.ipynb
escape_sequences.ipynb		escape_sequences.ipynb
example_data_wrangling_baby_names.ipynb		example_data_wrangling_baby_names.ipynb
example_exploring_border_crossing_data.ipynb		example_exploring_border_crossing_data.ipynb
filter_items_in_list_with_filter.ipynb		filter_items_in_list_with_filter.ipynb
flatten_list_of_lists.ipynb		flatten_list_of_lists.ipynb
for_loops.ipynb		for_loops.ipynb
format_method_for_strings.ipynb		format_method_for_strings.ipynb
function_basics.ipynb		function_basics.ipynb
generating_random_numbers_with_numpy.ipynb		generating_random_numbers_with_numpy.ipynb
ggplot_area_plot.ipynb		ggplot_area_plot.ipynb
ggplot_draw_line.ipynb		ggplot_draw_line.ipynb
ggplot_histogram.ipynb		ggplot_histogram.ipynb
ggplot_line_plot.ipynb		ggplot_line_plot.ipynb
ggplot_save_as_vector.ipynb		ggplot_save_as_vector.ipynb
ggplot_scatterplot.ipynb		ggplot_scatterplot.ipynb
if_and_if_else_statements.ipynb		if_and_if_else_statements.ipynb
if_statement.ipynb		if_statement.ipynb
indexing_and_slicing_numpy_arrays.ipynb		indexing_and_slicing_numpy_arrays.ipynb
ipython_display_image.ipynb		ipython_display_image.ipynb
ipython_display_video.ipynb		ipython_display_video.ipynb
ipython_notebook.command		ipython_notebook.command
ipython_run_script.ipynb		ipython_run_script.ipynb
iterate_ifelse_over_list.ipynb		iterate_ifelse_over_list.ipynb
json_parse_file.ipynb		json_parse_file.ipynb
kolmogorov_smirnov_test.ipynb		kolmogorov_smirnov_test.ipynb
lambda_functions.ipynb		lambda_functions.ipynb
list_comprehension.ipynb		list_comprehension.ipynb
list_comprehension_2.ipynb		list_comprehension_2.ipynb
list_operations.ipynb		list_operations.ipynb
logical_operations.ipynb		logical_operations.ipynb
math_operations.ipynb		math_operations.ipynb
matplotlib_back_to_back_bar_plot.ipynb		matplotlib_back_to_back_bar_plot.ipynb
matplotlib_bar_plot.ipynb		matplotlib_bar_plot.ipynb
matplotlib_grouped_bar_plot.ipynb		matplotlib_grouped_bar_plot.ipynb
matplotlib_histogram.ipynb		matplotlib_histogram.ipynb
matplotlib_map_your_google_data-Copy0.ipynb		matplotlib_map_your_google_data-Copy0.ipynb
matplotlib_map_your_google_data.ipynb		matplotlib_map_your_google_data.ipynb
matplotlib_percentage_stacked_bar_plot.ipynb		matplotlib_percentage_stacked_bar_plot.ipynb
matplotlib_pie_chart.ipynb		matplotlib_pie_chart.ipynb
matplotlib_plot_points_on_map.ipynb		matplotlib_plot_points_on_map.ipynb
matplotlib_save_a_plot_as_vector.ipynb		matplotlib_save_a_plot_as_vector.ipynb
matplotlib_scatterplot_from_pandas.ipynb		matplotlib_scatterplot_from_pandas.ipynb
matplotlib_simple_example.ipynb		matplotlib_simple_example.ipynb
matplotlib_simple_scatterplot.ipynb		matplotlib_simple_scatterplot.ipynb
matplotlib_stacked_bar_plot.ipynb		matplotlib_stacked_bar_plot.ipynb
module_basics.ipynb		module_basics.ipynb
nesting_lists.ipynb		nesting_lists.ipynb
numpy_array_basic_operations.ipynb		numpy_array_basic_operations.ipynb
numpy_array_basics.ipynb		numpy_array_basics.ipynb
numpy_indexing_and_slicing.ipynb		numpy_indexing_and_slicing.ipynb
pandas_apply_operations_to_dataframes.ipynb		pandas_apply_operations_to_dataframes.ipynb
pandas_apply_operations_to_groups.ipynb		pandas_apply_operations_to_groups.ipynb
pandas_binning_data.ipynb		pandas_binning_data.ipynb
pandas_categorical_data.ipynb		pandas_categorical_data.ipynb
pandas_convert_categorical_to_dummies.ipynb		pandas_convert_categorical_to_dummies.ipynb
pandas_convert_numeric_categorical_to_numeric_with_patsy.ipynb		pandas_convert_numeric_categorical_to_numeric_with_patsy.ipynb
pandas_convert_string_categorical_to_numeric_with_patsy.ipynb		pandas_convert_string_categorical_to_numeric_with_patsy.ipynb
pandas_convert_to_datetime.ipynb		pandas_convert_to_datetime.ipynb
pandas_create_column_using_conditional.ipynb		pandas_create_column_using_conditional.ipynb
pandas_create_column_with_loop.ipynb		pandas_create_column_with_loop.ipynb
pandas_crosstabs.ipynb		pandas_crosstabs.ipynb
pandas_data_structures.ipynb		pandas_data_structures.ipynb
pandas_data_wrangling.ipynb		pandas_data_wrangling.ipynb
pandas_dataframe_count_values.ipynb		pandas_dataframe_count_values.ipynb
pandas_dataframe_descriptive_stats.ipynb		pandas_dataframe_descriptive_stats.ipynb
pandas_dataframe_importing_csv.ipynb		pandas_dataframe_importing_csv.ipynb

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