:Search:

Mastering Large Datasets with Python Video Edition FreeCourseWeb

Torrent:
Magnet Download .torrent File
Info Hash: BE478E7E364ED7F705B50E1E0594437E1C10C665
Similar Posts:
Name Uploaded Size Se Le Upl. by
Mastering Large Datasets with Python Video Edition FreeCourseWeb Mastering Large Datasets with Python Video Edition FreeCourseWeb
2024-12-02 1.0 GB 11 0 FreeCourseWeb
Mastering Large Language Models No Code Prompt Engineering DevCourseW… Mastering Large Language Models No Code Prompt Engineering DevCourseWeb
2024-05-23 290.3 MB 15 0 FreeCourseWeb
Mastering Large Language Models Mastering Large Language Models
2024-04-11 13.2 MB 3 2 Godonfox
Khandare S Mastering Large Language Models Advanced techniques apps 2… Khandare S Mastering Large Language Models Advanced techniques apps 2024 andryold1
2024-04-11 49.4 MB 11 0 indexFroggy
LLM Transformer RAG AI Mastering Large Language Models by Et Tu Code … LLM Transformer RAG AI Mastering Large Language Models by Et Tu Code EPUB
2024-07-26 24.6 MB 36 3 zakareya
Mastering JavaScript Explore and Master Modern JavaScript Techniques … Mastering JavaScript Explore and Master Modern JavaScript Techniques in Order to Build Large Scale Web Applications 2016 pdf Gooner
2023-07-02 2.4 MB 2 0 Gooner01
FreeCourseWeb Packt Mastering Puppet 6 for Large Infrastructures Seco… FreeCourseWeb Packt Mastering Puppet 6 for Large Infrastructures Second Edition
2023-10-27 760.0 MB 0 0 freecoursewb
Uploader: FreeCourseWeb
Source: T Logo Torrent Galaxy
Downloads: 2253
Language: English
Category: Other
Size: 1.0 GB
Added: Dec. 2, 2024, 7:46 p.m.
Peers: Seeders: 11, Leechers: 0 (Last updated: 10 months, 4 weeks ago)
Tracker Data:
Tracker Seeders Leechers Completed
udp://tracker.opentrackr.org:1337/announce 6 0 1164
udp://tracker.openbittorrent.com:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.internetwarriors.net:1337/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.leechers-paradise.org:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.coppersurfer.tk:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://exodus.desync.com:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.rarbg.torrentbay.st:6969/announce 0 0 0
udp://tracker.tiny-vps.com:6969/announce 1 0 6
udp://open.demonii.si:1337/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.torrent.eu.org:451/announce 4 0 1083
Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. 001. Part 1.mp4 1.6 MB
  3. 002. Chapter 1. Introduction.mp4 7.4 MB
  4. 003. Chapter 1. Why large datasets.mp4 7.4 MB
  5. 004. Chapter 1. What is parallel computing.mp4 15.6 MB
  6. 005. Chapter 1. The map and reduce style.mp4 14.6 MB
  7. 006. Chapter 1. Distributed computing for speed and scale.mp4 6.7 MB
  8. 007. Chapter 1. Hadoop A distributed framework for map and reduce.mp4 6.2 MB
  9. 008. Chapter 1. Spark for high-powered map, reduce, and more.mp4 3.0 MB
  10. 009. Chapter 1. AWS Elastic MapReduce Large datasets in the cloud.mp4 3.3 MB
  11. 010. Chapter 1. Summary.mp4 3.0 MB
  12. 011. Chapter 2. Accelerating large dataset work Map and parallel computing.mp4 28.9 MB
  13. 012. Chapter 2. Parallel processing.mp4 57.4 MB
  14. 013. Chapter 2. Putting it all together Scraping a Wikipedia network.mp4 33.8 MB
  15. 014. Chapter 2. Exercises.mp4 6.6 MB
  16. 015. Chapter 2. Summary.mp4 2.8 MB
  17. 016. Chapter 3. Function pipelines for mapping complex transformations.mp4 10.9 MB
  18. 017. Chapter 3. Unmasking hacker communications.mp4 27.9 MB
  19. 018. Chapter 3. Twitter demographic projections.mp4 46.0 MB
  20. 019. Chapter 3. Exercises.mp4 4.9 MB
  21. 020. Chapter 3. Summary.mp4 2.7 MB
  22. 021. Chapter 4. Processing large datasets with lazy workflows.mp4 6.3 MB
  23. 022. Chapter 4. Some lazy functions to know.mp4 12.6 MB
  24. 023. Chapter 4. Understanding iterators The magic behind lazy Python.mp4 18.5 MB
  25. 024. Chapter 4. The poetry puzzle Lazily processing a large dataset.mp4 29.8 MB
  26. 025. Chapter 4. Lazy simulations Simulating fishing villages.mp4 27.2 MB
  27. 026. Chapter 4. Exercises.mp4 6.2 MB
  28. 027. Chapter 4. Summary.mp4 4.1 MB
  29. 028. Chapter 5. Accumulation operations with reduce.mp4 6.6 MB
  30. 029. Chapter 5. The three parts of reduce.mp4 25.1 MB
  31. 030. Chapter 5. Reductions you re familiar with.mp4 10.3 MB
  32. 031. Chapter 5. Using map and reduce together.mp4 12.4 MB
  33. 032. Chapter 5. Analyzing car trends with reduce.mp4 22.1 MB
  34. 033. Chapter 5. Speeding up map and reduce.mp4 4.0 MB
  35. 034. Chapter 5. Exercises.mp4 3.7 MB
  36. 035. Chapter 5. Summary.mp4 3.0 MB
  37. 036. Chapter 6. Speeding up map and reduce with advanced parallelization.mp4 26.0 MB
  38. 037. Chapter 6. Solving the parallel map and reduce paradox.mp4 49.0 MB
  39. 038. Chapter 6. Summary.mp4 3.1 MB
  40. 039. Part 2.mp4 2.0 MB
  41. 040. Chapter 7. Processing truly big datasets with Hadoop and Spark.mp4 11.9 MB
  42. 041. Chapter 7. Hadoop for batch processing.mp4 13.5 MB
  43. 042. Chapter 7. Using Hadoop to find high-scoring words.mp4 14.5 MB
  44. 043. Chapter 7. Spark for interactive workflows.mp4 18.6 MB
  45. 044. Chapter 7. Document word scores in Spark.mp4 19.8 MB
  46. 045. Chapter 7. Exercises.mp4 3.5 MB
  47. 046. Chapter 7. Summary.mp4 2.7 MB
  48. 047. Chapter 8. Best practices for large data with Apache Streaming and mrjob.mp4 9.9 MB
  49. 048. Chapter 8. Tennis analytics with Hadoop.mp4 28.3 MB
  50. 049. Chapter 8. mrjob for Pythonic Hadoop streaming.mp4 25.0 MB
  51. 050. Chapter 8. Tennis match analysis with mrjob.mp4 24.7 MB
  52. 051. Chapter 8. Exercises.mp4 2.8 MB
  53. 052. Chapter 8. Summary.mp4 3.2 MB
  54. 053. Chapter 9. PageRank with map and reduce in PySpark.mp4 32.6 MB
  55. 054. Chapter 9. Tennis rankings with Elo and PageRank in PySpark.mp4 51.1 MB
  56. 055. Chapter 9. Exercises.mp4 4.7 MB
  57. 056. Chapter 9. Summary.mp4 3.1 MB
  58. 057. Chapter 10. Faster decision-making with machine learning and PySpark.mp4 26.0 MB
  59. 058. Chapter 10. Machine learning basics with decision tree classifiers.mp4 40.7 MB
  60. 059. Chapter 10. Fast random forest classifications in PySpark.mp4 15.4 MB
  61. 060. Chapter 10. Summary.mp4 2.9 MB
  62. 061. Part 3.mp4 2.1 MB
  63. 062. Chapter 11. Large datasets in the cloud with Amazon Web Services and S3.mp4 23.2 MB
  64. 063. Chapter 11. Storing data in the cloud with S3.mp4 41.0 MB
  65. 064. Chapter 11. Exercises.mp4 2.4 MB
  66. 065. Chapter 11. Summary.mp4 3.2 MB
  67. 066. Chapter 12. MapReduce in the cloud with Amazon s Elastic MapReduce.mp4 33.2 MB
  68. 067. Chapter 12. Machine learning in the cloud with Spark on EMR.mp4 47.2 MB
  69. 068. Chapter 12. Exercises.mp4 2.5 MB
  70. 069. Chapter 12. Summary.mp4 3.4 MB
  71. Bonus Resources.txt 386 bytes

Discussion