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  • U: Anonymous
  • D: 2019-12-12 21:46:52
  • C: Unknown

RELEASE >

ReScene version pyReScene Auto 0.7 ZH File size CRC
Download
12,054
Stored files
1,137 C841E99E
145 661B682B
RAR-files
lldiwp-b43f-zh.rar 50,000,000 33AC3E94
lldiwp-b43f-zh.r00 50,000,000 4F5F2C28
lldiwp-b43f-zh.r01 50,000,000 F103EB27
lldiwp-b43f-zh.r02 50,000,000 B887647B
lldiwp-b43f-zh.r03 21,665,718 C3B987D9
Total size: 221,665,718
Archived files
Data Ingestion with Python\05 - Web Scraping\06 - Challenge GitHub API.mp4 [2403f2cc655928da] 998,572 1131DEB6
Data Ingestion with Python\05 - Web Scraping\01 - Try to find an API.mp4 [57d01203f7e2d3be] 1,577,816 372689CE
Data Ingestion with Python\05 - Web Scraping\07 - Solution GitHub API.mp4 [65ce89c8ea922782] 3,154,434 BD4391D5
Data Ingestion with Python\05 - Web Scraping\04 - Working with Selenium.mp4 [f53184ee104077ec] 4,112,555 F15F6532
Data Ingestion with Python\05 - Web Scraping\02 - Working with Beautiful Soup.mp4 [65fdb12a2c17968c] 5,783,042 25522D0F
Data Ingestion with Python\05 - Web Scraping\05 - Other considerations.mp4 [38dc3c50277964ba] 2,297,520 19FEBDFE
Data Ingestion with Python\05 - Web Scraping\03 - Working with Scrapy.mp4 [58daafd1d035f493] 6,757,380 D00A1579
Data Ingestion with Python\06 - Schema\05 - Schema validations.mp4 [ace65ba2e5639de6] 5,658,692 050C34FE
Data Ingestion with Python\06 - Schema\02 - Working with ontologies.mp4 [c932fcbbccfc8228] 3,385,861 497B774E
Data Ingestion with Python\06 - Schema\03 - What should be in schema.mp4 [209ccdb7ae9dc309] 2,303,832 4609B09D
Data Ingestion with Python\06 - Schema\04 - Schema changes.mp4 [c6eb89dc2e49159b] 2,707,972 19A1B594
Data Ingestion with Python\06 - Schema\01 - What are schemas.mp4 [e175d6f419347fa5] 2,573,995 B2515346
Data Ingestion with Python\04 - Calling APIs\03 - Processing event-based data.mp4 [4cf74bda2c401447] 4,197,721 9B0E3065
Data Ingestion with Python\04 - Calling APIs\01 - Working with JSON.mp4 [f72ad54695fa1457] 4,100,782 D9D68C13
Data Ingestion with Python\04 - Calling APIs\02 - Making HTTP calls.mp4 [e464a723af3c17e8] 4,534,140 1B1F7E5D
Data Ingestion with Python\04 - Calling APIs\05 - Solution Location from IP.mp4 [f560cf609b0daa9] 4,464,302 9C0E35B5
Data Ingestion with Python\04 - Calling APIs\04 - Challenge Location from IP.mp4 [d73c8533369e0ade] 4,273,323 4FA4A5B8
Data Ingestion with Python\10 - Conclusion\01 - Next steps.mp4 [a0c9e137f5d44e7] 4,071,940 0F7F2717
Data Ingestion with Python\02 - Data Ingestion Overview\04 - The data pipeline (ETL).mp4 [9378cf4bf7b3d7d2] 2,964,824 D40258F7
Data Ingestion with Python\02 - Data Ingestion Overview\05 - Final destination (data lake).mp4 [e8186f48c0956526] 2,724,011 F21E8340
Data Ingestion with Python\02 - Data Ingestion Overview\03 - Different types of data.mp4 [7132a43ff31405ff] 3,606,705 08EF2B75
Data Ingestion with Python\02 - Data Ingestion Overview\02 - Where does data come from.mp4 [9c15c4561dbd1971] 3,732,485 E4E1CC3F
Data Ingestion with Python\02 - Data Ingestion Overview\01 - Overview of data scientists work.mp4 [88aff91fea6eda53] 4,504,750 C7340C25
Data Ingestion with Python\09 - Data KPIs and Process\02 - KPIs.mp4 [946476ed2fa599eb] 2,519,556 A8FC5A77
Data Ingestion with Python\09 - Data KPIs and Process\03 - What to monitor.mp4 [16510f57608474b4] 4,349,100 A2886678
Data Ingestion with Python\09 - Data KPIs and Process\01 - Design your data.mp4 [8a8aba67391da64d] 2,800,988 C5C6DD24
Data Ingestion with Python\03 - Reading Files\06 - Challenge CSV to JSON.mp4 [58affe7a6b35b5d5] 1,614,166 4415DE9B
Data Ingestion with Python\03 - Reading Files\04 - Unstructured text.mp4 [96e5abea2c64cff0] 7,742,982 639321D2
Data Ingestion with Python\03 - Reading Files\05 - JSON.mp4 [fa1473426a6d63ad] 6,267,222 6BCDAE78
Data Ingestion with Python\03 - Reading Files\07 - Solution CSV to JSON.mp4 [64104481ea2085e3] 5,330,268 2C677F5A
Data Ingestion with Python\03 - Reading Files\02 - Working in XML.mp4 [b87d09a9d8eabf4c] 4,664,664 07E095B2
Data Ingestion with Python\03 - Reading Files\01 - Working in CSV.mp4 [82eb9e9ecc875391] 15,060,142 FEF576B3
Data Ingestion with Python\03 - Reading Files\03 - Working in Parquet, Avro, and ORC.mp4 [e9567ea4b4007838] 2,986,500 A794D724
Data Ingestion with Python\Exercise Files\Ex_Files_Data_Ingestion_Python.zip 2,296,415 BA75B3CE
Data Ingestion with Python\07 - Working with Databases\02 - Hosted and cost of ops.mp4 [c07bea177962891b] 2,056,193 18E944F4
Data Ingestion with Python\07 - Working with Databases\01 - Types of databases.mp4 [bc93888ed2c67b27] 3,151,020 09FEB9DC
Data Ingestion with Python\07 - Working with Databases\08 - Solution ETL.mp4 [193ac9455feb0b0c] 7,256,412 BD483A5D
Data Ingestion with Python\07 - Working with Databases\06 - Working with graph databases.mp4 [4e32766aab1a5289] 5,145,941 F073DA5C
Data Ingestion with Python\07 - Working with Databases\07 - Challenge ETL.mp4 [821a0f1e551cb452] 2,775,383 072525CA
Data Ingestion with Python\07 - Working with Databases\05 - Working with document databases.mp4 [4bddaa4b673c4ee4] 6,364,332 6A7296EE
Data Ingestion with Python\07 - Working with Databases\04 - Working with key or value databases.mp4 [795f10c25e9a44e2] 4,570,629 AB6A512F
Data Ingestion with Python\07 - Working with Databases\03 - Working with relational databases.mp4 [aaba5d8c78c3e971] 9,035,094 CE1F4BB9
Data Ingestion with Python\08 - Troubleshooting Data\01 - Data is never 100% okay.mp4 [6713da4337a1b5c] 4,170,584 CC7C43E0
Data Ingestion with Python\08 - Troubleshooting Data\06 - Challenge Clean rides according to ride duration.mp4 [107b544433ac10d2] 1,647,616 5BF252FB
Data Ingestion with Python\08 - Troubleshooting Data\03 - Filling missing values.mp4 [d98e0d51a03da1ea] 6,447,407 4FCE4C60
Data Ingestion with Python\08 - Troubleshooting Data\05 - Finding outliers (ML).mp4 [3b8ad12e0fd529a4] 6,294,815 CEE32D8C
Data Ingestion with Python\08 - Troubleshooting Data\02 - Causes of errors.mp4 [e38b141f323fba7f] 2,732,721 A7138E42
Data Ingestion with Python\08 - Troubleshooting Data\04 - Finding outliers (manual).mp4 [bc2349836f62f421] 4,929,200 67F23DF3
Data Ingestion with Python\08 - Troubleshooting Data\07 - Solution Clean rides according to ride duration.mp4 [ad8dabdb9e4df808] 2,461,361 76C7D9A6
Data Ingestion with Python\01 - Introduction\02 - What you should know.mp4 [c01c01bff506a003] 2,113,878 FCE0DB85
Data Ingestion with Python\01 - Introduction\01 - Why is data inegstion important.mp4 [d45ab8698a78d9bf] 8,019,800 7D95528D
Data Ingestion with Python\01 - Introduction\03 - Using the exercise files.mp4 [5d6f28e2a42e23e3] 2,366,981 CBEB0E9A
Data Ingestion with Python\05 - Web Scraping 0 00000000
Data Ingestion with Python\06 - Schema 0 00000000
Data Ingestion with Python\04 - Calling APIs 0 00000000
Data Ingestion with Python\10 - Conclusion 0 00000000
Data Ingestion with Python\02 - Data Ingestion Overview 0 00000000
Data Ingestion with Python\09 - Data KPIs and Process 0 00000000
Data Ingestion with Python\03 - Reading Files 0 00000000
Data Ingestion with Python\Exercise Files 0 00000000
Data Ingestion with Python\07 - Working with Databases 0 00000000
Data Ingestion with Python\08 - Troubleshooting Data 0 00000000
Data Ingestion with Python\01 - Introduction 0 00000000
Data Ingestion with Python 0 00000000
Total size: 221,658,024
RAR Recovery
Not Present
Labels UNKNOWN
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