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  • Anonymous
  • 2020-05-22 12:13:36
  • Unknown

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ReScene version pyReScene Auto 0.7 REBAR File size CRC
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9,103
Stored files
182 50A9CA26
590 B9A70BC2
RAR-files
rebar-pluralsight.data.wrangling.with.python.rar 15,000,000 F0D59308
rebar-pluralsight.data.wrangling.with.python.r00 15,000,000 C00022F2
rebar-pluralsight.data.wrangling.with.python.r01 15,000,000 9DA55826
rebar-pluralsight.data.wrangling.with.python.r02 15,000,000 DB4EC1A3
rebar-pluralsight.data.wrangling.with.python.r03 15,000,000 D94812F7
rebar-pluralsight.data.wrangling.with.python.r04 15,000,000 24AD1282
rebar-pluralsight.data.wrangling.with.python.r05 15,000,000 E77D214B
rebar-pluralsight.data.wrangling.with.python.r06 15,000,000 3D2DBD6C
rebar-pluralsight.data.wrangling.with.python.r07 15,000,000 A5124DC2
rebar-pluralsight.data.wrangling.with.python.r08 8,314,321 E30A335D

Total size: 143,314,321
Archived files
01 - Course Overview\01 - Course Overview.mp4 [514741862fa423d2] 3,292,819 1F5737EE
02 - Concatenating and Merging Data from Different Sources \02 - Course and Module Introduction.mp4 [206f74bdb1474039] 2,861,892 9C7C9E40
02 - Concatenating and Merging Data from Different Sources \03 - Software and Course Prerequisites.mp4 [1f46fc4b0560dad5] 2,126,614 8552E93B
02 - Concatenating and Merging Data from Different Sources \04 - Concatenating Datasets.mp4 [70e767da75b22069] 12,106,844 70A743D8
02 - Concatenating and Merging Data from Different Sources \05 - Merging Datasets.mp4 [217ab6db70c9cad6] 7,333,402 C5EC74DA
02 - Concatenating and Merging Data from Different Sources \06 - Merge Keys.mp4 [268f192171e83c69] 5,171,601 BF67F2BA
02 - Concatenating and Merging Data from Different Sources \07 - The How Parameter.mp4 [fb79da95641c88d] 5,481,411 321F626B
02 - Concatenating and Merging Data from Different Sources \08 - Demo - Disambiguating Merged Columns and Updating Dataframes.mp4 [1b40c18c1c6a5455] 3,445,686 29A58478
02 - Concatenating and Merging Data from Different Sources \09 - Summary.mp4 [5ae618d6f2f3f840] 2,390,160 7A132D6A
03 - Combining Data into Groups\10 - Module Introduction.mp4 [39c9604eb556d50a] 1,213,188 A31B716A
03 - Combining Data into Groups\11 - The GroupBy Function.mp4 [c150a0a68adf4905] 3,440,734 AF59D100
03 - Combining Data into Groups\12 - Demo - Why and How to Use the GroupBy Function.mp4 [eb52fe73d680a6d1] 9,041,465 F53F2508
03 - Combining Data into Groups\13 - Filter and Transform with GroupBy.mp4 [e2c3291059884332] 5,739,529 9D8182B1
03 - Combining Data into Groups\14 - Demo - Grouping Multi-index Data.mp4 [2e7f2abc6fe6e1ce] 4,635,244 15621B37
04 - Normalizing Data with Pandas\15 - Module Introduction.mp4 [ef25ece1cad0eec] 1,774,267 E64551E8
04 - Normalizing Data with Pandas\16 - Normalizing Data - What and Why.mp4 [d094e9fe48d5d058] 3,285,704 C8591FA9
04 - Normalizing Data with Pandas\17 - Simple Feature Scaling.mp4 [a24a093c487bbe9] 3,649,422 87AF6DE9
04 - Normalizing Data with Pandas\18 - Min-max Scaling.mp4 [60be065acc57db61] 3,609,126 1380E96A
04 - Normalizing Data with Pandas\19 - Z-score Normalization.mp4 [9940c079405c58cf] 3,727,761 620571B5
04 - Normalizing Data with Pandas\20 - Points to Consider for Data Normalization and Summary.mp4 [626b04f3c79ff19e] 3,778,247 71ECC459
05 - Reshaping Data with Python\21 - Module Introduction.mp4 [5fc7ed9d8d0b5509] 1,429,100 D289B786
05 - Reshaping Data with Python\22 - Introduction to Data Reshaping.mp4 [df255cc25270d9ac] 3,884,586 99C3BC8E
05 - Reshaping Data with Python\23 - Reshape Long Data to Wide Data with the Pivot Function.mp4 [289c0de72d2de651] 6,399,653 DF73153C
05 - Reshaping Data with Python\24 - Reshape Wide Data to Long Using the Melt Function.mp4 [417749460e1f7424] 3,753,655 482B254F
05 - Reshaping Data with Python\25 - Reshape Data Using the Stack and Unstack Functions.mp4 [a6f14c5233868457] 4,346,486 5276A757
05 - Reshaping Data with Python\26 - Reshaping and Aggregation with Pivot Table.mp4 [c2a5d88af1720dfc] 3,635,528 7DEACF00
05 - Reshaping Data with Python\27 - Summary.mp4 [6a93732964747120] 1,045,363 2F0C6FD6
06 - Data Encoding with Python\28 - Module Introduction.mp4 [87f9fcc7b817c9be] 1,663,126 1ADFBE86
06 - Data Encoding with Python\29 - One-hot Encoding.mp4 [8d01add30eccff2d] 3,921,485 830A7877
06 - Data Encoding with Python\30 - Demo - Convert Categorical Values Using One-hot Encoding.mp4 [ebfc70f50fd0d92a] 6,435,998 F9C2D0DA
06 - Data Encoding with Python\31 - Create Dummy Variables with Pandas.mp4 [6fbac7d0f49f66e4] 5,104,379 723EE275
06 - Data Encoding with Python\32 - Create Frequency Table with the Crosstab Function.mp4 [fb5da0183a5dabd5] 8,267,702 C198813B
06 - Data Encoding with Python\33 - Summary and Feedback.mp4 [f4c86f07b68db912] 1,885,555 75FEA40C
data-wrangling-python.zip 3,431,065 B16DB017
01 - Course Overview 0 00000000
02 - Concatenating and Merging Data from Different Sources 0 00000000
03 - Combining Data into Groups 0 00000000
04 - Normalizing Data with Pandas 0 00000000
05 - Reshaping Data with Python 0 00000000
06 - Data Encoding with Python 0 00000000

Total size: 143,308,797
RAR Recovery
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