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01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_1.mp4 | 34.17 MB |
01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_2.mp4 | 14.78 MB |
01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_3.mp4 | 24.47 MB |
01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_4.mp4 | 20.49 MB |
01 - Pandas Foundation/01 - Data ingestion & inspection/ch1_slides.pdf | 940.45 kB |
01 - Pandas Foundation/02 - Exploratory data analysis/ch2_1.mp4 | 18.98 MB |
01 - Pandas Foundation/02 - Exploratory data analysis/ch2_2.mp4 | 20.04 MB |
01 - Pandas Foundation/02 - Exploratory data analysis/ch2_3.mp4 | 20.95 MB |
01 - Pandas Foundation/02 - Exploratory data analysis/ch2_slides.pdf | 833.34 kB |
01 - Pandas Foundation/03 - Time series in pandas/ch3_1.mp4 | 20.26 MB |
01 - Pandas Foundation/03 - Time series in pandas/ch3_2.mp4 | 23.64 MB |
01 - Pandas Foundation/03 - Time series in pandas/ch3_3.mp4 | 21.70 MB |
01 - Pandas Foundation/03 - Time series in pandas/ch3_4.mp4 | 16.83 MB |
01 - Pandas Foundation/03 - Time series in pandas/ch3_slides.pdf | 808.67 kB |
01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_1.mp4 | 9.84 MB |
01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_2.mp4 | 4.32 MB |
01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_3.mp4 | 3.64 MB |
01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_4.mp4 | 3.58 MB |
01 - Pandas Foundation/04 - Case Study - Sunlight in Austin/ch4_slides.pdf | 435.47 kB |
01 - Pandas Foundation/DataSets/1981-2010 NOAA Austin Climate Normals.txt | 1.44 MB |
01 - Pandas Foundation/DataSets/2010 Austin weather.csv | 256.64 kB |
01 - Pandas Foundation/DataSets/Automobile miles per gallon.csv | 19.71 kB |
01 - Pandas Foundation/DataSets/July 2015 Austin airport departures (Southwest Airlines).csv | 164.13 kB |
01 - Pandas Foundation/DataSets/Life expectancy at birth (Gapminder).csv | 249.66 kB |
01 - Pandas Foundation/DataSets/Percentage of bachelor's degrees awarded to women in the USA.csv | 5.59 kB |
01 - Pandas Foundation/DataSets/Stock data (messy).tsv | 775.00 B |
01 - Pandas Foundation/DataSets/Tips.csv | 12.67 kB |
01 - Pandas Foundation/DataSets/Titanic.csv | 115.29 kB |
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01 - Pandas Foundation/DataSets/World population.csv | 135.00 B |
01 - Pandas Foundation/DataSets/World population.txt | 0.00 B |
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01 - Pandas Foundation/Exercices/campus.datacamp.com/courses/pandas-foundations/36 - case-study-sunlight-in-austin94a1.html | 243.00 kB |
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01 - Pandas Foundation/Exercices/hts-cache/winprofile.ini | 1.33 kB |
02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_1.mp4 | 20.76 MB |
02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_2.mp4 | 16.30 MB |
02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_3.mp4 | 17.76 MB |
02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_4.mp4 | 17.47 MB |
02 - Manipulating DataFrames with pandas/01 - Extracting and transforming data/ch1_slides.pdf | 549.82 kB |
02 - Manipulating DataFrames with pandas/02 - Advanced indexing/ch2_1.mp4 | 18.74 MB |
02 - Manipulating DataFrames with pandas/02 - Advanced indexing/ch2_2.mp4 | 19.25 MB |
02 - Manipulating DataFrames with pandas/02 - Advanced indexing/ch2_slides_2.pdf | 360.84 kB |
02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_1.mp4 | 6.73 MB |
02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_2.mp4 | 10.43 MB |
02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_3.mp4 | 7.08 MB |
02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_4.mp4 | 6.28 MB |
02 - Manipulating DataFrames with pandas/03 - Rearranging and reshaping data/ch3_slides.pdf | 324.33 kB |
02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_1.mp4 | 17.39 MB |
02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_2.mp4 | 9.95 MB |
02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_3.mp4 | 15.32 MB |
02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_4.mp4 | 11.87 MB |
02 - Manipulating DataFrames with pandas/04 - Grouping data/ch4_slides.pdf | 457.21 kB |
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_1.mp4 | 12.01 MB |
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_2.mp4 | 4.99 MB |
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_3.mp4 | 6.22 MB |
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_4.mp4 | 5.31 MB |
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_5.mp4 | 4.18 MB |
02 - Manipulating DataFrames with pandas/05 - Bringing it all together/ch5_slides.pdf | 468.83 kB |
02 - Manipulating DataFrames with pandas/DataSets/2012 US election results (Pennsylvania).csv | 6.90 kB |
02 - Manipulating DataFrames with pandas/DataSets/Gapminder.csv | 409.25 kB |
02 - Manipulating DataFrames with pandas/DataSets/Olympic medals.csv | 2.40 MB |
02 - Manipulating DataFrames with pandas/DataSets/Pittsburgh weather data.csv | 31.24 kB |
02 - Manipulating DataFrames with pandas/DataSets/sales.zip | 806.00 B |
02 - Manipulating DataFrames with pandas/DataSets/Titanic.csv | 115.30 kB |
02 - Manipulating DataFrames with pandas/DataSets/users.csv | 108.00 B |
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