"Glory is acquired by virtue but preserved by letters." ―Petrarch
  • U: Anonymous
  • D: 2018-05-09 13:46:29
  • C: Unknown

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Archived files
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\75.Tidying When Variables are Stored in Column Names and Values.mp4 [85bf6c5d9d4898e9] 24,166,831 3B3D6C7E
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\72.Tidying When Multiple Variables are Stored as Column Names.mp4 [48aca1f9f30668bb] 42,833,036 F3B12530
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\74.Tidying When Two or More Values are Stored in the Same Cell.mp4 [d6f872a833be8501] 38,210,717 4CE2D707
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\67.Stacking Multiple Groups of Variables Simultaneously.mp4 [7479df63551b5e0b] 18,563,966 09F23A5B
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\68.Inverting Stacked Data.mp4 [ee87502d0c33ca3d] 48,716,681 BDF78B51
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\69.Unstacking After a groupby Aggregation.mp4 [307765e535a02a2c] 33,896,088 A8D002B7
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\73.Tidying When Multiple Variables are Stored as Column Values.mp4 [66ea395347853418] 69,814,556 CC6767E9
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\65.Tidying Variable Values as Column Names with Stack.mp4 [4ca9c077bb14768d] 16,002,161 20A6D7C2
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\70.Replicating pivot_table with a groupby Aggregation.mp4 [f5c1d71e050bad5f] 42,317,510 D13A4E48
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\71.Renaming Axis Levels for Easy Reshaping.mp4 [c985774e9c897a39] 51,523,225 83FD345C
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\76.Tidying When Multiple Observational Units are Stored in the Same Table.mp4 [17256427f1834f3] 84,584,918 4C9F64E5
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form\66.Tidying Variable Values as Column Names with Melt.mp4 [59ca863b02a4a85d] 8,952,312 86260B89
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \39.Translating SQL WHERE Clauses.mp4 [bc53c237eab28fa7] 12,914,359 2EE9B240
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \38.Gaining Perspective on Stock Prices.mp4 [27953a3ad7916f55] 6,397,817 83502716
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \40.Determining the Normality of Stock Market Returns.mp4 [d7f435ede3c5eb13] 7,236,504 FB379E7B
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \43.Masking DataFrame Rows.mp4 [ed3225ea85e991e3] 17,097,605 F45E95A6
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \44.Selecting with Booleans, Integer Location, and Labels.mp4 [38fb28bdedb4f18] 19,821,873 092E4F1F
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \36.Replicating Boolean Indexing with Index Selection.mp4 [7c4bfe216fa12fd4] 11,408,489 C71E20C0
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \37.Selecting with Unique and Sorted Indexes.mp4 [a4de41e24692dfa] 12,192,034 C1BA7B13
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \34.Constructing Multiple Boolean Conditions.mp4 [fa7f01f744122aad] 10,131,197 64F487F8
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \35.Filtering with Boolean Indexing.mp4 [20327d05d3653512] 11,932,680 C90DA953
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \41.Improving Readability of Boolean Indexing with the Query Method.mp4 [fa8e9e6c5d636e8] 5,286,573 115EB3D1
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \33.Calculating Boolean Statistics.mp4 [899469e9c67c1da6] 21,854,086 EFFB03DC
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing \42.Preserving Series with the WHERE Method.mp4 [e564a90410128e5e] 7,862,108 C832C56C
Data Analysis and Exploration with Pandas [Video]\Exercise Files\code_33418.zip [92250acc679f11ab] 12,886,732 996B019A
Data Analysis and Exploration with Pandas [Video]\2.Essential DataFrame Operations\14.Ordering Column Names Sensibly.mp4 [967283094e00a9ef] 12,637,978 EE71656F
Data Analysis and Exploration with Pandas [Video]\2.Essential DataFrame Operations\19.Transposing the Direction of a DataFrame.mp4 [bbbb3ec23093b11d] 5,081,210 3E7ED440
Data Analysis and Exploration with Pandas [Video]\2.Essential DataFrame Operations\18.Comparing Missing Values.mp4 [92c5853ba55d11ca] 6,219,380 E4DF5FA4
Data Analysis and Exploration with Pandas [Video]\2.Essential DataFrame Operations\12.Selecting Multiple DataFrame Columns.mp4 [b051ca7559e5da10] 8,452,565 85750207
Data Analysis and Exploration with Pandas [Video]\2.Essential DataFrame Operations\13.Selecting Columns with Methods.mp4 [c2a2235f91246614] 7,534,838 47FA425D
Data Analysis and Exploration with Pandas [Video]\2.Essential DataFrame Operations\16.Chaining DataFrame Methods Together.mp4 [18996c9b7acdbce1] 5,368,506 51298EB0
Data Analysis and Exploration with Pandas [Video]\2.Essential DataFrame Operations\15.Operating on the Entire DataFrame.mp4 [15e2ee1caf72af4] 7,664,062 0575B73B
Data Analysis and Exploration with Pandas [Video]\2.Essential DataFrame Operations\17.Working with Operators on a DataFrame.mp4 [5a89d01adbf29147] 12,100,464 18712E4F
Data Analysis and Exploration with Pandas [Video]\2.Essential DataFrame Operations\20.Determining College Campus Diversity.mp4 [3a9ac94ce6d4de4f] 12,037,684 0B55F3A2
Data Analysis and Exploration with Pandas [Video]\9.Combining Pandas Objects\79.Comparing President Trump's and Obama's Approval Ratings.mp4 [f41a030dfab21430] 41,632,725 DB84392B
Data Analysis and Exploration with Pandas [Video]\9.Combining Pandas Objects\80.Understanding the Differences Between concat, join, and merge.mp4 [199b5da7ff80f362] 19,931,083 5847D943
Data Analysis and Exploration with Pandas [Video]\9.Combining Pandas Objects\78.Concatenating Multiple DataFrames Together.mp4 [fe0be5ff14b2570] 6,231,989 526210F1
Data Analysis and Exploration with Pandas [Video]\9.Combining Pandas Objects\77.Appending New Rows to DataFrames.mp4 [99245c9f2d9c4826] 14,542,149 DC3AC267
Data Analysis and Exploration with Pandas [Video]\9.Combining Pandas Objects\81.Connecting to SQL Databases.mp4 [e38c4012de88dc72] 10,751,969 2AFB14C3
Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations\02.Dissecting the Anatomy of a DataFrame.mp4 [b0830b24b4baa064] 20,984,547 2F1A5F5C
Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations\07.Working with Operators on a Series.mp4 [fd8f15bc4fd934d3] 12,467,838 3B48DE7F
Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations\03.Accessing the Main DataFrame Components.mp4 [95b08e2125644206] 6,617,751 202EDA97
Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations\08.Chaining Series Methods Together.mp4 [84975243cb90d1af] 14,214,218 AD72D88B
Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations\04.Understanding Data Types.mp4 [8c8b76df8ce6807b] 5,768,542 3EA06940
Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations\01.The Course Overview.mp4 [4bf2cf64a2134e22] 17,338,649 3FCE9056
Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations\11.Creating and Deleting Columns.mp4 [d478982f9cfea538] 11,357,467 4481BB63
Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations\05.Selecting a Single Column of Data as a Series.mp4 [ee1e17067644edb4] 7,736,613 D4884011
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Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations\09.Making the Index Meaningful.mp4 [ae1a6ac7195f3381] 10,801,763 3E6C6B0E
Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations\10.Renaming Row and Column Names.mp4 [1d5009c93b3851d6] 10,625,336 0CE1D8A3
Data Analysis and Exploration with Pandas [Video]\6.Index Alignment\46.Producing Cartesian Products.mp4 [38753483c55213c5] 46,209,019 3CF08BC0
Data Analysis and Exploration with Pandas [Video]\6.Index Alignment\47.Exploding Indexes.mp4 [d4d0c386fdc99683] 38,516,545 B049CDD1
Data Analysis and Exploration with Pandas [Video]\6.Index Alignment\52.Finding the Most Common Maximum.mp4 [aea028cb75533a91] 34,589,595 682A3746
Data Analysis and Exploration with Pandas [Video]\6.Index Alignment\45.Examining the Index Object.mp4 [a5d00108c40fc02b] 39,965,414 DFAB0170
Data Analysis and Exploration with Pandas [Video]\6.Index Alignment\49.Appending Columns from Different DataFrames.mp4 [bbcb17d5863ccc32] 45,355,106 781B585C
Data Analysis and Exploration with Pandas [Video]\6.Index Alignment\50.Highlighting the Maximum Value from Each Column.mp4 [525a6ea658fdee89] 70,820,968 58E7FCA7
Data Analysis and Exploration with Pandas [Video]\6.Index Alignment\51.Replicating idxmax with Method Chaining.mp4 [41af547027a7ec2b] 64,851,402 B95481D0
Data Analysis and Exploration with Pandas [Video]\6.Index Alignment\48.Filling Values with Unequal Indexes.mp4 [72be073e9ec8ba3b] 45,113,688 01A2C764
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \54.Grouping and Aggregating with Multiple Columns and Functions.mp4 [fad6fdf109e58bad] 11,044,505 080480D1
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \62.Grouping By Continuous Variables.mp4 [bc6554f887f6dfd0] 11,546,314 123EB540
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \56.Customizing an Aggregation Function.mp4 [e743c727823e812e] 12,012,011 D0E135D6
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \58.Examining the groupby Object.mp4 [1ec59e5289b238a5] 11,391,300 B95292B6
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \59.Filtering for States with a Minority Majority.mp4 [a91f5a8c115ea64e] 13,151,969 C7233207
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \61.Calculating Weighted Mean SAT Scores Per State with Apply.mp4 [b4c43947fc90e8f4] 21,213,911 C8547725
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \64.Finding the Longest Streak of On-Time Flights.mp4 [67b92995a3c36bb4] 18,700,670 B746A032
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \53.Defining an Aggregation.mp4 [6e72d3f543a3bd06] 19,921,688 9423AFF6
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \57.Customizing Aggregating Functions with _args and _kwargs.mp4 [c3b59e09f688e757] 8,235,520 0AD72D76
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \60.Transforming through a Weight Loss Bet.mp4 [91b0c865197d8d4d] 17,393,137 C1A0AD79
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \63.Counting the Total Number of Flights Between Cities.mp4 [8cd2864d0d7477ca] 14,051,868 A178E9CA
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation \55.Removing the MultiIndex After Grouping.mp4 [63f7c7b482e0e41b] 11,810,548 0E330E54
Data Analysis and Exploration with Pandas [Video]\3.Beginning Data Analysis \22.Reducing Memory by Changing Data Types.mp4 [7bba4f73a37a66e8] 8,732,842 F8023F72
Data Analysis and Exploration with Pandas [Video]\3.Beginning Data Analysis \24.Selecting the Largest of Each Group by Sorting.mp4 [56e6a370ee3fc889] 8,590,286 EA40E1BF
Data Analysis and Exploration with Pandas [Video]\3.Beginning Data Analysis \23.Selecting the Smallest of the Largest.mp4 [c5f4151fe3a894e7] 3,365,475 D93BF011
Data Analysis and Exploration with Pandas [Video]\3.Beginning Data Analysis \21.Developing a Data Analysis Routine.mp4 [8f929a1f9056ae4e] 21,903,261 E2B9A75A
Data Analysis and Exploration with Pandas [Video]\3.Beginning Data Analysis \25.Replicating nlargest with sort_values.mp4 [ecdcdea5c57257c7] 10,446,362 116E2B8B
Data Analysis and Exploration with Pandas [Video]\4.Selecting Subsets of Data\27.Selecting DataFrame Rows.mp4 [ab2c1fb5d95c927c] 47,083,523 E99BDFB1
Data Analysis and Exploration with Pandas [Video]\4.Selecting Subsets of Data\26.Selecting Series Data.mp4 [81fb24c84ac78c4c] 61,915,351 210EA010
Data Analysis and Exploration with Pandas [Video]\4.Selecting Subsets of Data\29.Selecting Data with Both Integers and Labels.mp4 [1c0418852770536a] 54,651,377 98975CB0
Data Analysis and Exploration with Pandas [Video]\4.Selecting Subsets of Data\28.Selecting DataFrame Rows and Columns Simultaneously.mp4 [3e90384bc7d8f8d4] 42,960,274 C1E9FF9D
Data Analysis and Exploration with Pandas [Video]\4.Selecting Subsets of Data\30.Speeding Up Scalar Selection.mp4 [1e439b11da4de5bb] 38,644,388 677A7877
Data Analysis and Exploration with Pandas [Video]\4.Selecting Subsets of Data\32.Slicing Lexicographically.mp4 [6bce98a7c111cafb] 35,354,605 8AF0BE3D
Data Analysis and Exploration with Pandas [Video]\4.Selecting Subsets of Data\31.Slicing Rows Lazily.mp4 [94b14989c2001396] 45,947,695 204C9DB6
Data Analysis and Exploration with Pandas [Video]\8.Restructuring Data into a Tidy Form 0 00000000
Data Analysis and Exploration with Pandas [Video]\5.Boolean Indexing 0 00000000
Data Analysis and Exploration with Pandas [Video]\Exercise Files 0 00000000
Data Analysis and Exploration with Pandas [Video]\2.Essential DataFrame Operations 0 00000000
Data Analysis and Exploration with Pandas [Video]\9.Combining Pandas Objects 0 00000000
Data Analysis and Exploration with Pandas [Video]\1.Pandas Foundations 0 00000000
Data Analysis and Exploration with Pandas [Video]\6.Index Alignment 0 00000000
Data Analysis and Exploration with Pandas [Video]\7.Grouping for Aggregation, Filtration, and Transformation 0 00000000
Data Analysis and Exploration with Pandas [Video]\3.Beginning Data Analysis 0 00000000
Data Analysis and Exploration with Pandas [Video]\4.Selecting Subsets of Data 0 00000000
Data Analysis and Exploration with Pandas [Video] 0 00000000

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