[DataCamp] Data Manipulation with Python [FCO]
Torrent Info
| Category | Other |
| Added | Friday 2nd June 2023 01:08:50 PM (3 years ago) |
| Size | 947.9 MB |
| Peers | 4 Peers (4 Seeders and 0 leechers) update |
| Downloaded | 198 times |
| Uploader | SunRiseZone Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 4 |
| Leechers | 0 |
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| 01 - Pandas Foundation/Exercices/hts-cache/doit.log | 731 bytes |
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| 01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_1.mp4 | 34.2 MB |
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| 01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_slides.pdf | 940.5 KB |
| 01 - Pandas Foundation/02 - Exploratory data analysis/ch2_1.mp4 | 19.0 MB |
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| 01 - Pandas Foundation/02 - Exploratory data analysis/ch2_3.mp4 | 21.0 MB |
| 01 - Pandas Foundation/02 - Exploratory data analysis/ch2_slides.pdf | 833.3 KB |
| 01 - Pandas Foundation/03 - Time series in pandas/ch3_1.mp4 | 20.3 MB |
| 01 - Pandas Foundation/03 - Time series in pandas/ch3_2.mp4 | 23.6 MB |
| 01 - Pandas Foundation/03 - Time series in pandas/ch3_3.mp4 | 21.7 MB |
| 01 - Pandas Foundation/03 - Time series in pandas/ch3_4.mp4 | 16.8 MB |
| 01 - Pandas Foundation/03 - Time series in pandas/ch3_slides.pdf | 808.7 KB |
| 01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_1.mp4 | 9.8 MB |
| 01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_2.mp4 | 4.3 MB |
| 01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_3.mp4 | 3.6 MB |
| 01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_4.mp4 | 3.6 MB |
| 01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_slides.pdf | 435.5 KB |
| 01 - Pandas Foundation/DataSets/1981-2010 NOAA Austin Climate Normals.txt | 1.4 MB |
| 01 - Pandas Foundation/DataSets/2010 Austin weather.csv | 256.6 KB |
| 01 - Pandas Foundation/DataSets/Automobile miles per gallon.csv | 19.7 KB |
| 01 - Pandas Foundation/DataSets/July 2015 Austin airport departures (Southwest Airlines).csv | 164.1 KB |
| 01 - Pandas Foundation/DataSets/Life expectancy at birth (Gapminder).csv | 249.7 KB |
| 01 - Pandas Foundation/DataSets/Percentage of bachelor's degrees awarded to women in the USA.csv | 5.6 KB |
| 01 - Pandas Foundation/DataSets/Stock data (messy).tsv | 775 bytes |
| 01 - Pandas Foundation/DataSets/Tips.csv | 12.7 KB |
| 01 - Pandas Foundation/DataSets/Titanic.csv | 115.3 KB |
| 01 - Pandas Foundation/DataSets/World Bank World Development Indicators.csv | 569.6 KB |
| 01 - Pandas Foundation/DataSets/World population.csv | 135 bytes |
| 01 - Pandas Foundation/DataSets/World population.txt | 0 bytes |
| 01 - Pandas Foundation/Exercices/backblue.gif | 4.1 KB |
| 01 - Pandas Foundation/Exercices/fade.gif | 828 bytes |
| 02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_1.mp4 | 20.8 MB |
| 02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_2.mp4 | 16.3 MB |
| 02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_3.mp4 | 17.8 MB |
| 02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_4.mp4 | 17.5 MB |
| 02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_slides.pdf | 549.8 KB |
| 02 - Manipulating DataFrames with pandas/02 - Advanced indexing/ch2_1.mp4 | 18.7 MB |
| 02 - Manipulating DataFrames with pandas/02 - Advanced indexing/ch2_2.mp4 | 19.3 MB |
| 02 - Manipulating DataFrames with pandas/02 - Advanced indexing/ch2_slides_2.pdf | 360.8 KB |
| 02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_1.mp4 | 6.7 MB |
| 02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_2.mp4 | 10.4 MB |
| 02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_3.mp4 | 7.1 MB |
| 02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_4.mp4 | 6.3 MB |
| 02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_slides.pdf | 324.3 KB |
| 02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_1.mp4 | 17.4 MB |
| 02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_2.mp4 | 9.9 MB |
| 02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_3.mp4 | 15.3 MB |
| 02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_4.mp4 | 11.9 MB |
| 02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_slides.pdf | 457.2 KB |
| 02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_1.mp4 | 12.0 MB |
| 02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_2.mp4 | 5.0 MB |
| 02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_3.mp4 | 6.2 MB |
| 02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_4.mp4 | 5.3 MB |
| 02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_5.mp4 | 4.2 MB |
| 02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_slides.pdf | 468.8 KB |
| 02 - Manipulating DataFrames with pandas/DataSets/2012 US election results (Pennsylvania).csv | 6.9 KB |
| 02 - Manipulating DataFrames with pandas/DataSets/Gapminder.csv | 409.2 KB |
| 02 - Manipulating DataFrames with pandas/DataSets/Olympic medals.csv | 2.4 MB |
| 02 - Manipulating DataFrames with pandas/DataSets/Pittsburgh weather data.csv | 31.2 KB |
| 02 - Manipulating DataFrames with pandas/DataSets/sales.zip | 806 bytes |
| 02 - Manipulating DataFrames with pandas/DataSets/Titanic.csv | 115.3 KB |
| 02 - Manipulating DataFrames with pandas/DataSets/users.csv | 108 bytes |
| 02 - Manipulating DataFrames with pandas/Exercices/backblue.gif | 4.1 KB |
| 02 - Manipulating DataFrames with pandas/Exercices/fade.gif | 828 bytes |
| 02 - Manipulating DataFrames with pandas/Exercices/hts-log.txt | 2.2 KB |
| 02 - Manipulating DataFrames with pandas/Exercices/index.html | 5.2 KB |
| 03 - Merging DataFrames with pandas/01 - Preparing data/ch1_1.mp4 | 22.6 MB |
| 03 - Merging DataFrames with pandas/01 - Preparing data/ch1_2.mp4 | 20.2 MB |
| 03 - Merging DataFrames with pandas/01 - Preparing data/ch1_3.mp4 | 22.3 MB |
| 03 - Merging DataFrames with pandas/01 - Preparing data/ch1_slides.pdf | 680.5 KB |
| 03 - Merging DataFrames with pandas/02 - Concatenating data/ch2_1.mp4 | 12.6 MB |
| 03 - Merging DataFrames with pandas/02 - Concatenating data/ch2_2.mp4 | 15.1 MB |
| 03 - Merging DataFrames with pandas/02 - Concatenating data/ch2_3.mp4 | 14.0 MB |
| 03 - Merging DataFrames with pandas/02 - Concatenating data/ch2_4.mp4 | 19.6 MB |
| 03 - Merging DataFrames with pandas/02 - Concatenating data/ch2_slides_2.pdf | 564.5 KB |
| 03 - Merging DataFrames with pandas/03 - Merging data/ch3_1.mp4 | 21.0 MB |
| 03 - Merging DataFrames with pandas/03 - Merging data/ch3_2_2.mp4 | 18.5 MB |
| 03 - Merging DataFrames with pandas/03 - Merging data/ch3_3.mp4 | 12.9 MB |
| 03 - Merging DataFrames with pandas/03 - Merging data/ch3_slides.pdf | 567.0 KB |
| 03 - Merging DataFrames with pandas/04 - Case Study - Summer Olympics/ch4_1.mp4 | 6.8 MB |
| 03 - Merging DataFrames with pandas/04 - Case Study - Summer Olympics/ch4_2.mp4 | 5.4 MB |
| 03 - Merging DataFrames with pandas/04 - Case Study - Summer Olympics/ch4_3.mp4 | 3.3 MB |
| 03 - Merging DataFrames with pandas/04 - Case Study - Summer Olympics/ch4_4.mp4 | 2.2 MB |
| 03 - Merging DataFrames with pandas/04 - Case Study - Summer Olympics/ch4_slides.pdf | 1.3 MB |
| 03 - Merging DataFrames with pandas/DataSets/automobiles.csv | 22.4 KB |
| 03 - Merging DataFrames with pandas/DataSets/Baby names.zip | 88.5 KB |
| 03 - Merging DataFrames with pandas/DataSets/exchange.csv | 5.1 KB |
| 03 - Merging DataFrames with pandas/DataSets/GDP.zip | 2.6 KB |
| 03 - Merging DataFrames with pandas/DataSets/oil_price.csv | 2.5 KB |
| 03 - Merging DataFrames with pandas/DataSets/pittsburgh2013.csv | 30.9 KB |
| 03 - Merging DataFrames with pandas/DataSets/Sales.zip | 2.5 KB |
| 03 - Merging DataFrames with pandas/DataSets/sp500.csv | 20.9 KB |
| 03 - Merging DataFrames with pandas/DataSets/Summer Olympic medals.zip | 398.7 KB |
| 03 - Merging DataFrames with pandas/Exercices/backblue.gif | 4.1 KB |
| 03 - Merging DataFrames with pandas/Exercices/fade.gif | 828 bytes |
| 03 - Merging DataFrames with pandas/Exercices/hts-log.txt | 1.9 KB |
| 03 - Merging DataFrames with pandas/Exercices/index.html | 5.2 KB |
| 04 - Analyzing Police Activity with pandas/01 - Preparing the data for analysis/01 - chapter_1_introduction.mp4 | 37.0 MB |
| 04 - Analyzing Police Activity with pandas/01 - Preparing the data for analysis/02 - chapter_1_using_proper_data_types.mp4 | 7.2 MB |
| 04 - Analyzing Police Activity with pandas/01 - Preparing the data for analysis/03 - chapter_1_creating_a_datetime_index.mp4 | 7.3 MB |
| 04 - Analyzing Police Activity with pandas/01 - Preparing the data for analysis/chapter1.pdf | 285.0 KB |
| 04 - Analyzing Police Activity with pandas/02 - Exploring the relationship between gender and policing/01 - chapter_2_do_the_genders_commit_different_violations.mp4 | 7.5 MB |
| 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.mp4 | 6.7 MB |
| 04 - Analyzing Police Activity with pandas/02 - Exploring the relationship between gender and policing/03 - chapter_2_does_gender_affect_who_gets_searched.mp4 | 8.0 MB |
| 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.mp4 | 9.2 MB |
| 04 - Analyzing Police Activity with pandas/02 - Exploring the relationship between gender and policing/chapter2.pdf | 278.2 KB |
| 04 - Analyzing Police Activity with pandas/03 - Visual exploratory data analysis/01 - chapter_3_does_time_of_day_affect_arrest_rate.mp4 | 7.1 MB |
| 04 - Analyzing Police Activity with pandas/03 - Visual exploratory data analysis/02 - chapter_3_are_drug_related_stops_on_the_rise.mp4 | 7.7 MB |
| 04 - Analyzing Police Activity with pandas/03 - Visual exploratory data analysis/03 - chapter_3_what_violations_are_caught_in_each_district.mp4 | 8.0 MB |
| 04 - Analyzing Police Activity with pandas/03 - Visual exploratory data analysis/04 - chapter_3_how_long_might_you_be_stopped_for_a_violation.mp4 | 8.5 MB |
| 04 - Analyzing Police Activity with pandas/03 - Visual exploratory data analysis/chapter3.pdf | 528.4 KB |
| 04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/01 - chapter_4_exploring_the_weather_dataset.mp4 | 39.7 MB |
| 04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/02 - chapter_4_categorizing_the_weather.mp4 | 9.0 MB |
| 04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/03 - chapter_4_merging_datasets.mp4 | 7.7 MB |
| 04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/04 - chapter_4_does_weather_affect_the_arrest_rate.mp4 | 8.2 MB |
| 04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/05 - chapter_4_conclusion.mp4 | 8.9 MB |
| 04 - Analyzing Police Activity with pandas/04 - Analyzing the effect of weather on policing/chapter4.pdf | 949.9 KB |
| 04 - Analyzing Police Activity with pandas/DataSets/police.csv | 8.7 MB |
| 04 - Analyzing Police Activity with pandas/DataSets/weather.csv | 260.6 KB |
| 04 - Analyzing Police Activity with pandas/Exercices/backblue.gif | 4.1 KB |
| 04 - Analyzing Police Activity with pandas/Exercices/fade.gif | 828 bytes |
| 04 - Analyzing Police Activity with pandas/Exercices/hts-log.txt | 2.0 KB |
| 04 - Analyzing Police Activity with pandas/Exercices/index.html | 5.3 KB |
| Discuss.FreeTutorials.Eu.html | 31.3 KB |
| FreeCoursesOnline.Me.html | 108.3 KB |
| FreeTutorials.Eu.html | 102.2 KB |
| How you can help Team-FTU.txt | 259 bytes |
| [TGx]Downloaded from torrentgalaxy.org.txt | 524 bytes |
| Torrent Downloaded From GloDls.to.txt | 84 bytes |
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