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Data Science with Python and Dask Video Edition

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Uploader: freecoursewb
Source: 1 Logo 1337x
Downloads: 723
Type: Tutorials
Language: English
Category: Other
Size: 1.3 GB
Added: March 1, 2026, 8:40 a.m.
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 001. Part 1. The building blocks of scalable computing.en.srt 1.1 KB
  3. 001. Part 1. The building blocks of scalable computing.mp4 1.8 MB
  4. 002. Chapter 1. Why scalable computing matters.en.srt 27.2 KB
  5. 002. Chapter 1. Why scalable computing matters.mp4 71.8 MB
  6. 003. Chapter 1. Cooking with DAGs.en.srt 13.4 KB
  7. 003. Chapter 1. Cooking with DAGs.mp4 20.2 MB
  8. 004. Chapter 1. Scaling out, concurrency, and recovery.en.srt 22.4 KB
  9. 004. Chapter 1. Scaling out, concurrency, and recovery.mp4 49.8 MB
  10. 005. Chapter 1. Introducing a companion dataset.en.srt 2.7 KB
  11. 005. Chapter 1. Introducing a companion dataset.mp4 6.7 MB
  12. 006. Chapter 1. Summary.en.srt 1.0 KB
  13. 006. Chapter 1. Summary.mp4 3.2 MB
  14. 007. Chapter 2. Introducing Dask.en.srt 27.4 KB
  15. 007. Chapter 2. Introducing Dask.mp4 48.9 MB
  16. 008. Chapter 2. Visualizing DAGs.en.srt 13.6 KB
  17. 008. Chapter 2. Visualizing DAGs.mp4 29.3 MB
  18. 009. Chapter 2. Task scheduling.en.srt 10.4 KB
  19. 009. Chapter 2. Task scheduling.mp4 23.6 MB
  20. 010. Chapter 2. Summary.en.srt 705 bytes
  21. 010. Chapter 2. Summary.mp4 1.9 MB
  22. 011. Part 2. Working with structured data using Dask DataFrames.en.srt 2.1 KB
  23. 011. Part 2. Working with structured data using Dask DataFrames.mp4 3.6 MB
  24. 012. Chapter 3. Introducing Dask DataFrames.en.srt 7.7 KB
  25. 012. Chapter 3. Introducing Dask DataFrames.mp4 16.6 MB
  26. 013. Chapter 3. Dask and Pandas.en.srt 16.3 KB
  27. 013. Chapter 3. Dask and Pandas.mp4 36.9 MB
  28. 014. Chapter 3. Limitations of Dask DataFrames.en.srt 5.9 KB
  29. 014. Chapter 3. Limitations of Dask DataFrames.mp4 13.5 MB
  30. 015. Chapter 3. Summary.en.srt 902 bytes
  31. 015. Chapter 3. Summary.mp4 2.3 MB
  32. 016. Chapter 4. Loading data into DataFrames.en.srt 34.8 KB
  33. 016. Chapter 4. Loading data into DataFrames.mp4 78.0 MB
  34. 017. Chapter 4. Reading data from relational databases.en.srt 10.8 KB
  35. 017. Chapter 4. Reading data from relational databases.mp4 19.7 MB
  36. 018. Chapter 4. Reading data from HDFS and S3.en.srt 10.8 KB
  37. 018. Chapter 4. Reading data from HDFS and S3.mp4 20.8 MB
  38. 019. Chapter 4. Reading data in Parquet format.en.srt 7.7 KB
  39. 019. Chapter 4. Reading data in Parquet format.mp4 14.9 MB
  40. 020. Chapter 4. Summary.en.srt 657 bytes
  41. 020. Chapter 4. Summary.mp4 1.2 MB
  42. 021. Chapter 5. Cleaning and transforming DataFrames.en.srt 20.4 KB
  43. 021. Chapter 5. Cleaning and transforming DataFrames.mp4 38.9 MB
  44. 022. Chapter 5. Dealing with missing values.en.srt 13.1 KB
  45. 022. Chapter 5. Dealing with missing values.mp4 27.7 MB
  46. 023. Chapter 5. Recoding data.en.srt 8.7 KB
  47. 023. Chapter 5. Recoding data.mp4 17.7 MB
  48. 024. Chapter 5. Elementwise operations.en.srt 7.8 KB
  49. 024. Chapter 5. Elementwise operations.mp4 16.5 MB
  50. 025. Chapter 5. Filtering and reindexing DataFrames.en.srt 5.6 KB
  51. 025. Chapter 5. Filtering and reindexing DataFrames.mp4 13.8 MB
  52. 026. Chapter 5. Joining and concatenating DataFrames.en.srt 11.3 KB
  53. 026. Chapter 5. Joining and concatenating DataFrames.mp4 21.9 MB
  54. 027. Chapter 5. Writing data to text files and Parquet files.en.srt 6.6 KB
  55. 027. Chapter 5. Writing data to text files and Parquet files.mp4 12.3 MB
  56. 028. Chapter 5. Summary.en.srt 1.7 KB
  57. 028. Chapter 5. Summary.mp4 5.0 MB
  58. 029. Chapter 6. Summarizing and analyzing DataFrames.en.srt 24.6 KB
  59. 029. Chapter 6. Summarizing and analyzing DataFrames.mp4 51.9 MB
  60. 030. Chapter 6. Built-In aggregate functions.en.srt 20.0 KB
  61. 030. Chapter 6. Built-In aggregate functions.mp4 44.2 MB
  62. 031. Chapter 6. Custom aggregate functions.en.srt 37.9 KB
  63. 031. Chapter 6. Custom aggregate functions.mp4 73.8 MB
  64. 032. Chapter 6. Rolling (window) functions.en.srt 14.0 KB
  65. 032. Chapter 6. Rolling (window) functions.mp4 25.1 MB
  66. 033. Chapter 6. Summary.en.srt 1.2 KB
  67. 033. Chapter 6. Summary.mp4 3.5 MB
  68. 034. Chapter 7. Visualizing DataFrames with Seaborn.en.srt 15.0 KB
  69. 034. Chapter 7. Visualizing DataFrames with Seaborn.mp4 29.9 MB
  70. 035. Chapter 7. Visualizing continuous relationships with scatterplot and regplot.en.srt 13.0 KB
  71. 035. Chapter 7. Visualizing continuous relationships with scatterplot and regplot.mp4 28.7 MB
  72. 036. Chapter 7. Visualizing categorical relationships with violinplot.en.srt 9.8 KB
  73. 036. Chapter 7. Visualizing categorical relationships with violinplot.mp4 15.9 MB
  74. 037. Chapter 7. Visualizing two categorical relationships with heatmap.en.srt 7.0 KB
  75. 037. Chapter 7. Visualizing two categorical relationships with heatmap.mp4 12.1 MB
  76. 038. Chapter 7. Summary.en.srt 1.3 KB
  77. 038. Chapter 7. Summary.mp4 3.6 MB
  78. 039. Chapter 8. Visualizing location data with Datashader.en.srt 20.4 KB
  79. 039. Chapter 8. Visualizing location data with Datashader.mp4 33.0 MB
  80. 040. Chapter 8. Plotting location data as an interactive heatmap.en.srt 8.0 KB
  81. 040. Chapter 8. Plotting location data as an interactive heatmap.mp4 21.5 MB
  82. 041. Chapter 8. Summary.en.srt 876 bytes
  83. 041. Chapter 8. Summary.mp4 2.3 MB
  84. 042. Part 3. Extending and deploying Dask.en.srt 2.0 KB
  85. 042. Part 3. Extending and deploying Dask.mp4 3.5 MB
  86. 043. Chapter 9. Working with Bags and Arrays.en.srt 29.9 KB
  87. 043. Chapter 9. Working with Bags and Arrays.mp4 53.2 MB
  88. 044. Chapter 9. Transforming, filtering, and folding elements.en.srt 20.0 KB
  89. 044. Chapter 9. Transforming, filtering, and folding elements.mp4 40.2 MB
  90. 045. Chapter 9. Building Arrays and DataFrames from Bags.en.srt 5.5 KB
  91. 045. Chapter 9. Building Arrays and DataFrames from Bags.mp4 11.0 MB
  92. 046. Chapter 9. Using Bags for parallel text analysis with NLTK.en.srt 13.4 KB
  93. 046. Chapter 9. Using Bags for parallel text analysis with NLTK.mp4 31.9 MB
  94. 047. Chapter 9. Summary.en.srt 1.2 KB
  95. 047. Chapter 9. Summary.mp4 3.7 MB
  96. 048. Chapter 10. Machine learning with Dask-ML.en.srt 21.9 KB
  97. 048. Chapter 10. Machine learning with Dask-ML.mp4 60.5 MB
  98. 049. Chapter 10. Evaluating and tuning Dask-ML models.en.srt 16.2 KB
  99. 049. Chapter 10. Evaluating and tuning Dask-ML models.mp4 44.3 MB
  100. 050. Chapter 10. Persisting Dask-ML models.en.srt 5.7 KB
  101. 050. Chapter 10. Persisting Dask-ML models.mp4 9.1 MB
  102. 051. Chapter 10. Summary.en.srt 923 bytes
  103. 051. Chapter 10. Summary.mp4 2.8 MB
  104. 052. Chapter 11. Scaling and deploying Dask.en.srt 57.8 KB
  105. 052. Chapter 11. Scaling and deploying Dask.mp4 106.4 MB
  106. 053. Chapter 11. Running and monitoring Dask jobs on a cluster.en.srt 11.6 KB
  107. 053. Chapter 11. Running and monitoring Dask jobs on a cluster.mp4 22.5 MB
  108. 054. Chapter 11. Cleaning up the Dask cluster on AWS.en.srt 4.4 KB
  109. 054. Chapter 11. Cleaning up the Dask cluster on AWS.mp4 9.0 MB
  110. 055. Chapter 11. Summary.en.srt 1010 bytes
  111. 055. Chapter 11. Summary.mp4 2.7 MB
  112. Bonus Resources.txt 70 bytes

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