01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_1.mp434.17MB
01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_2.mp414.78MB
01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_3.mp424.47MB
01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_4.mp420.49MB
01 - Pandas Foundation/02 - Exploratory data analysis/ch2_1.mp418.98MB
01 - Pandas Foundation/02 - Exploratory data analysis/ch2_2.mp420.04MB
01 - Pandas Foundation/02 - Exploratory data analysis/ch2_3.mp420.95MB
01 - Pandas Foundation/03 - Time series in pandas/ch3_1.mp420.26MB
01 - Pandas Foundation/03 - Time series in pandas/ch3_2.mp423.64MB
01 - Pandas Foundation/03 - Time series in pandas/ch3_3.mp421.7MB
01 - Pandas Foundation/03 - Time series in pandas/ch3_4.mp416.83MB
01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_1.mp49.84MB
01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_2.mp44.32MB
01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_3.mp43.64MB
01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_4.mp43.58MB
01 - Pandas Foundation/DataSets/Stock data (messy).tsv775B
02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_1.mp420.76MB
02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_2.mp416.3MB
02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_3.mp417.76MB
02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_4.mp417.47MB
02 - Manipulating DataFrames with pandas/02 - Advanced indexing/ch2_1.mp418.74MB
02 - Manipulating DataFrames with pandas/02 - Advanced indexing/ch2_2.mp419.25MB
02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_1.mp46.73MB
02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_2.mp410.43MB
02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_3.mp47.08MB
02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_4.mp46.28MB
02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_1.mp417.39MB
02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_2.mp49.95MB
02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_3.mp415.32MB
02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_4.mp411.87MB
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_1.mp412.01MB
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_2.mp44.99MB
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_3.mp46.22MB
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_4.mp45.31MB
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_5.mp44.18MB
03 - Merging DataFrames with pandas/01 - Preparing data/ch1_1.mp422.56MB
03 - Merging DataFrames with pandas/01 - Preparing data/ch1_2.mp420.15MB
03 - Merging DataFrames with pandas/01 - Preparing data/ch1_3.mp422.29MB
03 - Merging DataFrames with pandas/02 - Concatenating data/ch2_1.mp412.57MB
03 - Merging DataFrames with pandas/02 - Concatenating data/ch2_2.mp415.12MB
03 - Merging DataFrames with pandas/02 - Concatenating data/ch2_3.mp414.03MB
03 - Merging DataFrames with pandas/02 - Concatenating data/ch2_4.mp419.63MB
03 - Merging DataFrames with pandas/03 - Merging data/ch3_1.mp421.03MB
03 - Merging DataFrames with pandas/03 - Merging data/ch3_2_2.mp418.47MB
03 - Merging DataFrames with pandas/03 - Merging data/ch3_3.mp412.89MB
03 - Merging DataFrames with pandas/04 - Case Study - Summer Olympics/ch4_1.mp46.84MB
03 - Merging DataFrames with pandas/04 - Case Study - Summer Olympics/ch4_2.mp45.43MB
03 - Merging DataFrames with pandas/04 - Case Study - Summer Olympics/ch4_3.mp43.29MB
03 - Merging DataFrames with pandas/04 - Case Study - Summer Olympics/ch4_4.mp42.23MB
04 - Analyzing Police Activity with pandas/01 - Preparing the data for analysis/01 - chapter_1_introduction.mp436.99MB
04 - Analyzing Police Activity with pandas/01 - Preparing the data for analysis/02 - chapter_1_using_proper_data_types.mp47.16MB
04 - Analyzing Police Activity with pandas/01 - Preparing the data for analysis/03 - chapter_1_creating_a_datetime_index.mp47.29MB
04 - Analyzing Police Activity with pandas/02 - Exploring the relationship between gender and policing/01 - chapter_2_do_the_genders_commit_different_violations.mp47.53MB
04 - Analyzing Police Activity with pandas/02 - Exploring the relationship between gender and policing/02 - chapter_2_does_gender_affect_who_gets_a_ticket_for_speeding.mp46.7MB
04 - Analyzing Police Activity with pandas/02 - Exploring the relationship between gender and policing/03 - chapter_2_does_gender_affect_who_gets_searched.mp48.03MB
04 - Analyzing Police Activity with pandas/02 - Exploring the relationship between gender and policing/04 - chapter_2_does_gender_affect_who_gets_frisked_during_a_search.mp49.18MB
04 - Analyzing Police Activity with pandas/03 - Visual exploratory data analysis/01 - chapter_3_does_time_of_day_affect_arrest_rate.mp47.15MB
04 - Analyzing Police Activity with pandas/03 - Visual exploratory data analysis/02 - chapter_3_are_drug_related_stops_on_the_rise.mp47.73MB
04 - Analyzing Police Activity with pandas/03 - Visual exploratory data analysis/03 - chapter_3_what_violations_are_caught_in_each_district.mp48.03MB
04 - Analyzing Police Activity with pandas/03 - Visual exploratory data analysis/04 - chapter_3_how_long_might_you_be_stopped_for_a_violation.mp48.46MB
04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/01 - chapter_4_exploring_the_weather_dataset.mp439.7MB
04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/02 - chapter_4_categorizing_the_weather.mp49.01MB
04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/03 - chapter_4_merging_datasets.mp47.68MB
04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/04 - chapter_4_does_weather_affect_the_arrest_rate.mp48.22MB
04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/05 - chapter_4_conclusion.mp48.88MB