Data Science with Python and Dask Video Edition
Seeders : 6 Leechers : 6
| Torrent Hash : | 59EDEAD34C97B7BB2E3887E6E2A6835B1CC19C3F |
| Torrent Added : | at March 1, 2026, 8:40 a.m. in Other |
| Torrent Size : | 1.3 GB |
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Data Science with Python and Dask Video Edition
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Data Science with Python and Dask Video Edition
Get Bonus Downloads Here.url -
001. Part 1. The building blocks of scalable computing.en.srt -
001. Part 1. The building blocks of scalable computing.mp4 -
002. Chapter 1. Why scalable computing matters.en.srt -
002. Chapter 1. Why scalable computing matters.mp4 -
003. Chapter 1. Cooking with DAGs.en.srt -
003. Chapter 1. Cooking with DAGs.mp4 -
004. Chapter 1. Scaling out, concurrency, and recovery.en.srt -
004. Chapter 1. Scaling out, concurrency, and recovery.mp4 -
005. Chapter 1. Introducing a companion dataset.en.srt -
005. Chapter 1. Introducing a companion dataset.mp4 -
006. Chapter 1. Summary.en.srt -
006. Chapter 1. Summary.mp4 -
007. Chapter 2. Introducing Dask.en.srt -
007. Chapter 2. Introducing Dask.mp4 -
008. Chapter 2. Visualizing DAGs.en.srt -
008. Chapter 2. Visualizing DAGs.mp4 -
009. Chapter 2. Task scheduling.en.srt -
009. Chapter 2. Task scheduling.mp4 -
010. Chapter 2. Summary.en.srt -
010. Chapter 2. Summary.mp4 -
011. Part 2. Working with structured data using Dask DataFrames.en.srt -
011. Part 2. Working with structured data using Dask DataFrames.mp4 -
012. Chapter 3. Introducing Dask DataFrames.en.srt -
012. Chapter 3. Introducing Dask DataFrames.mp4 -
013. Chapter 3. Dask and Pandas.en.srt -
013. Chapter 3. Dask and Pandas.mp4 -
014. Chapter 3. Limitations of Dask DataFrames.en.srt -
014. Chapter 3. Limitations of Dask DataFrames.mp4 -
015. Chapter 3. Summary.en.srt -
015. Chapter 3. Summary.mp4 -
016. Chapter 4. Loading data into DataFrames.en.srt -
016. Chapter 4. Loading data into DataFrames.mp4 -
017. Chapter 4. Reading data from relational databases.en.srt -
017. Chapter 4. Reading data from relational databases.mp4 -
018. Chapter 4. Reading data from HDFS and S3.en.srt -
018. Chapter 4. Reading data from HDFS and S3.mp4 -
019. Chapter 4. Reading data in Parquet format.en.srt -
019. Chapter 4. Reading data in Parquet format.mp4 -
020. Chapter 4. Summary.en.srt -
020. Chapter 4. Summary.mp4 -
021. Chapter 5. Cleaning and transforming DataFrames.en.srt -
021. Chapter 5. Cleaning and transforming DataFrames.mp4 -
022. Chapter 5. Dealing with missing values.en.srt -
022. Chapter 5. Dealing with missing values.mp4 -
023. Chapter 5. Recoding data.en.srt -
023. Chapter 5. Recoding data.mp4 -
024. Chapter 5. Elementwise operations.en.srt -
024. Chapter 5. Elementwise operations.mp4 -
025. Chapter 5. Filtering and reindexing DataFrames.en.srt -
025. Chapter 5. Filtering and reindexing DataFrames.mp4 -
026. Chapter 5. Joining and concatenating DataFrames.en.srt -
026. Chapter 5. Joining and concatenating DataFrames.mp4 -
027. Chapter 5. Writing data to text files and Parquet files.en.srt -
027. Chapter 5. Writing data to text files and Parquet files.mp4 -
028. Chapter 5. Summary.en.srt -
028. Chapter 5. Summary.mp4 -
029. Chapter 6. Summarizing and analyzing DataFrames.en.srt -
029. Chapter 6. Summarizing and analyzing DataFrames.mp4 -
030. Chapter 6. Built-In aggregate functions.en.srt -
030. Chapter 6. Built-In aggregate functions.mp4 -
031. Chapter 6. Custom aggregate functions.en.srt -
031. Chapter 6. Custom aggregate functions.mp4 -
032. Chapter 6. Rolling (window) functions.en.srt -
032. Chapter 6. Rolling (window) functions.mp4 -
033. Chapter 6. Summary.en.srt -
033. Chapter 6. Summary.mp4 -
034. Chapter 7. Visualizing DataFrames with Seaborn.en.srt -
034. Chapter 7. Visualizing DataFrames with Seaborn.mp4 -
035. Chapter 7. Visualizing continuous relationships with scatterplot and regplot.en.srt -
035. Chapter 7. Visualizing continuous relationships with scatterplot and regplot.mp4 -
036. Chapter 7. Visualizing categorical relationships with violinplot.en.srt -
036. Chapter 7. Visualizing categorical relationships with violinplot.mp4 -
037. Chapter 7. Visualizing two categorical relationships with heatmap.en.srt -
037. Chapter 7. Visualizing two categorical relationships with heatmap.mp4 -
038. Chapter 7. Summary.en.srt -
038. Chapter 7. Summary.mp4 -
039. Chapter 8. Visualizing location data with Datashader.en.srt -
039. Chapter 8. Visualizing location data with Datashader.mp4 -
040. Chapter 8. Plotting location data as an interactive heatmap.en.srt -
040. Chapter 8. Plotting location data as an interactive heatmap.mp4 -
041. Chapter 8. Summary.en.srt -
041. Chapter 8. Summary.mp4 -
042. Part 3. Extending and deploying Dask.en.srt -
042. Part 3. Extending and deploying Dask.mp4 -
043. Chapter 9. Working with Bags and Arrays.en.srt -
043. Chapter 9. Working with Bags and Arrays.mp4 -
044. Chapter 9. Transforming, filtering, and folding elements.en.srt -
044. Chapter 9. Transforming, filtering, and folding elements.mp4 -
045. Chapter 9. Building Arrays and DataFrames from Bags.en.srt -
045. Chapter 9. Building Arrays and DataFrames from Bags.mp4 -
046. Chapter 9. Using Bags for parallel text analysis with NLTK.en.srt -
046. Chapter 9. Using Bags for parallel text analysis with NLTK.mp4 -
047. Chapter 9. Summary.en.srt -
047. Chapter 9. Summary.mp4 -
048. Chapter 10. Machine learning with Dask-ML.en.srt -
048. Chapter 10. Machine learning with Dask-ML.mp4 -
049. Chapter 10. Evaluating and tuning Dask-ML models.en.srt -
049. Chapter 10. Evaluating and tuning Dask-ML models.mp4 -
050. Chapter 10. Persisting Dask-ML models.en.srt -
050. Chapter 10. Persisting Dask-ML models.mp4 -
051. Chapter 10. Summary.en.srt -
051. Chapter 10. Summary.mp4 -
052. Chapter 11. Scaling and deploying Dask.en.srt -
052. Chapter 11. Scaling and deploying Dask.mp4 -
053. Chapter 11. Running and monitoring Dask jobs on a cluster.en.srt -
053. Chapter 11. Running and monitoring Dask jobs on a cluster.mp4 -
054. Chapter 11. Cleaning up the Dask cluster on AWS.en.srt -
054. Chapter 11. Cleaning up the Dask cluster on AWS.mp4 -
055. Chapter 11. Summary.en.srt -
055. Chapter 11. Summary.mp4 -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
180 bytes
001. Part 1. The building blocks of scalable computing.en.srt -
1.1 KB
001. Part 1. The building blocks of scalable computing.mp4 -
1.8 MB
002. Chapter 1. Why scalable computing matters.en.srt -
27.2 KB
002. Chapter 1. Why scalable computing matters.mp4 -
71.8 MB
003. Chapter 1. Cooking with DAGs.en.srt -
13.4 KB
003. Chapter 1. Cooking with DAGs.mp4 -
20.2 MB
004. Chapter 1. Scaling out, concurrency, and recovery.en.srt -
22.4 KB
004. Chapter 1. Scaling out, concurrency, and recovery.mp4 -
49.8 MB
005. Chapter 1. Introducing a companion dataset.en.srt -
2.7 KB
005. Chapter 1. Introducing a companion dataset.mp4 -
6.7 MB
006. Chapter 1. Summary.en.srt -
1.0 KB
006. Chapter 1. Summary.mp4 -
3.2 MB
007. Chapter 2. Introducing Dask.en.srt -
27.4 KB
007. Chapter 2. Introducing Dask.mp4 -
48.9 MB
008. Chapter 2. Visualizing DAGs.en.srt -
13.6 KB
008. Chapter 2. Visualizing DAGs.mp4 -
29.3 MB
009. Chapter 2. Task scheduling.en.srt -
10.4 KB
009. Chapter 2. Task scheduling.mp4 -
23.6 MB
010. Chapter 2. Summary.en.srt -
705 bytes
010. Chapter 2. Summary.mp4 -
1.9 MB
011. Part 2. Working with structured data using Dask DataFrames.en.srt -
2.1 KB
011. Part 2. Working with structured data using Dask DataFrames.mp4 -
3.6 MB
012. Chapter 3. Introducing Dask DataFrames.en.srt -
7.7 KB
012. Chapter 3. Introducing Dask DataFrames.mp4 -
16.6 MB
013. Chapter 3. Dask and Pandas.en.srt -
16.3 KB
013. Chapter 3. Dask and Pandas.mp4 -
36.9 MB
014. Chapter 3. Limitations of Dask DataFrames.en.srt -
5.9 KB
014. Chapter 3. Limitations of Dask DataFrames.mp4 -
13.5 MB
015. Chapter 3. Summary.en.srt -
902 bytes
015. Chapter 3. Summary.mp4 -
2.3 MB
016. Chapter 4. Loading data into DataFrames.en.srt -
34.8 KB
016. Chapter 4. Loading data into DataFrames.mp4 -
78.0 MB
017. Chapter 4. Reading data from relational databases.en.srt -
10.8 KB
017. Chapter 4. Reading data from relational databases.mp4 -
19.7 MB
018. Chapter 4. Reading data from HDFS and S3.en.srt -
10.8 KB
018. Chapter 4. Reading data from HDFS and S3.mp4 -
20.8 MB
019. Chapter 4. Reading data in Parquet format.en.srt -
7.7 KB
019. Chapter 4. Reading data in Parquet format.mp4 -
14.9 MB
020. Chapter 4. Summary.en.srt -
657 bytes
020. Chapter 4. Summary.mp4 -
1.2 MB
021. Chapter 5. Cleaning and transforming DataFrames.en.srt -
20.4 KB
021. Chapter 5. Cleaning and transforming DataFrames.mp4 -
38.9 MB
022. Chapter 5. Dealing with missing values.en.srt -
13.1 KB
022. Chapter 5. Dealing with missing values.mp4 -
27.7 MB
023. Chapter 5. Recoding data.en.srt -
8.7 KB
023. Chapter 5. Recoding data.mp4 -
17.7 MB
024. Chapter 5. Elementwise operations.en.srt -
7.8 KB
024. Chapter 5. Elementwise operations.mp4 -
16.5 MB
025. Chapter 5. Filtering and reindexing DataFrames.en.srt -
5.6 KB
025. Chapter 5. Filtering and reindexing DataFrames.mp4 -
13.8 MB
026. Chapter 5. Joining and concatenating DataFrames.en.srt -
11.3 KB
026. Chapter 5. Joining and concatenating DataFrames.mp4 -
21.9 MB
027. Chapter 5. Writing data to text files and Parquet files.en.srt -
6.6 KB
027. Chapter 5. Writing data to text files and Parquet files.mp4 -
12.3 MB
028. Chapter 5. Summary.en.srt -
1.7 KB
028. Chapter 5. Summary.mp4 -
5.0 MB
029. Chapter 6. Summarizing and analyzing DataFrames.en.srt -
24.6 KB
029. Chapter 6. Summarizing and analyzing DataFrames.mp4 -
51.9 MB
030. Chapter 6. Built-In aggregate functions.en.srt -
20.0 KB
030. Chapter 6. Built-In aggregate functions.mp4 -
44.2 MB
031. Chapter 6. Custom aggregate functions.en.srt -
37.9 KB
031. Chapter 6. Custom aggregate functions.mp4 -
73.8 MB
032. Chapter 6. Rolling (window) functions.en.srt -
14.0 KB
032. Chapter 6. Rolling (window) functions.mp4 -
25.1 MB
033. Chapter 6. Summary.en.srt -
1.2 KB
033. Chapter 6. Summary.mp4 -
3.5 MB
034. Chapter 7. Visualizing DataFrames with Seaborn.en.srt -
15.0 KB
034. Chapter 7. Visualizing DataFrames with Seaborn.mp4 -
29.9 MB
035. Chapter 7. Visualizing continuous relationships with scatterplot and regplot.en.srt -
13.0 KB
035. Chapter 7. Visualizing continuous relationships with scatterplot and regplot.mp4 -
28.7 MB
036. Chapter 7. Visualizing categorical relationships with violinplot.en.srt -
9.8 KB
036. Chapter 7. Visualizing categorical relationships with violinplot.mp4 -
15.9 MB
037. Chapter 7. Visualizing two categorical relationships with heatmap.en.srt -
7.0 KB
037. Chapter 7. Visualizing two categorical relationships with heatmap.mp4 -
12.1 MB
038. Chapter 7. Summary.en.srt -
1.3 KB
038. Chapter 7. Summary.mp4 -
3.6 MB
039. Chapter 8. Visualizing location data with Datashader.en.srt -
20.4 KB
039. Chapter 8. Visualizing location data with Datashader.mp4 -
33.0 MB
040. Chapter 8. Plotting location data as an interactive heatmap.en.srt -
8.0 KB
040. Chapter 8. Plotting location data as an interactive heatmap.mp4 -
21.5 MB
041. Chapter 8. Summary.en.srt -
876 bytes
041. Chapter 8. Summary.mp4 -
2.3 MB
042. Part 3. Extending and deploying Dask.en.srt -
2.0 KB
042. Part 3. Extending and deploying Dask.mp4 -
3.5 MB
043. Chapter 9. Working with Bags and Arrays.en.srt -
29.9 KB
043. Chapter 9. Working with Bags and Arrays.mp4 -
53.2 MB
044. Chapter 9. Transforming, filtering, and folding elements.en.srt -
20.0 KB
044. Chapter 9. Transforming, filtering, and folding elements.mp4 -
40.2 MB
045. Chapter 9. Building Arrays and DataFrames from Bags.en.srt -
5.5 KB
045. Chapter 9. Building Arrays and DataFrames from Bags.mp4 -
11.0 MB
046. Chapter 9. Using Bags for parallel text analysis with NLTK.en.srt -
13.4 KB
046. Chapter 9. Using Bags for parallel text analysis with NLTK.mp4 -
31.9 MB
047. Chapter 9. Summary.en.srt -
1.2 KB
047. Chapter 9. Summary.mp4 -
3.7 MB
048. Chapter 10. Machine learning with Dask-ML.en.srt -
21.9 KB
048. Chapter 10. Machine learning with Dask-ML.mp4 -
60.5 MB
049. Chapter 10. Evaluating and tuning Dask-ML models.en.srt -
16.2 KB
049. Chapter 10. Evaluating and tuning Dask-ML models.mp4 -
44.3 MB
050. Chapter 10. Persisting Dask-ML models.en.srt -
5.7 KB
050. Chapter 10. Persisting Dask-ML models.mp4 -
9.1 MB
051. Chapter 10. Summary.en.srt -
923 bytes
051. Chapter 10. Summary.mp4 -
2.8 MB
052. Chapter 11. Scaling and deploying Dask.en.srt -
57.8 KB
052. Chapter 11. Scaling and deploying Dask.mp4 -
106.4 MB
053. Chapter 11. Running and monitoring Dask jobs on a cluster.en.srt -
11.6 KB
053. Chapter 11. Running and monitoring Dask jobs on a cluster.mp4 -
22.5 MB
054. Chapter 11. Cleaning up the Dask cluster on AWS.en.srt -
4.4 KB
054. Chapter 11. Cleaning up the Dask cluster on AWS.mp4 -
9.0 MB
055. Chapter 11. Summary.en.srt -
1010 bytes
055. Chapter 11. Summary.mp4 -
2.7 MB
Bonus Resources.txt -
70 bytes
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