Download Mastering Large Datasets with Python, Video Edition Torrent

Torrent Contents Size: 1.1 GB

Mastering Large Datasets with Python, Video Edition

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001. Part 1.mp4	MP4	1.6 MB
002. Chapter 1. Introduction.mp4	MP4	7.4 MB
003. Chapter 1. Why large datasets.mp4	MP4	7.4 MB
004. Chapter 1. What is parallel computing.mp4	MP4	15.6 MB
005. Chapter 1. The map and reduce style.mp4	MP4	14.6 MB
006. Chapter 1. Distributed computing for speed and scale.mp4	MP4	6.7 MB
007. Chapter 1. Hadoop A distributed framework for map and reduce.mp4	MP4	6.2 MB
008. Chapter 1. Spark for high-powered map, reduce, and more.mp4	MP4	3 MB
009. Chapter 1. AWS Elastic MapReduce Large datasets in the cloud.mp4	MP4	3.3 MB
010. Chapter 1. Summary.mp4	MP4	3 MB
011. Chapter 2. Accelerating large dataset work Map and parallel computing.mp4	MP4	28.9 MB
012. Chapter 2. Parallel processing.mp4	MP4	57.4 MB
013. Chapter 2. Putting it all together Scraping a Wikipedia network.mp4	MP4	33.8 MB
014. Chapter 2. Exercises.mp4	MP4	6.6 MB
015. Chapter 2. Summary.mp4	MP4	2.8 MB
016. Chapter 3. Function pipelines for mapping complex transformations.mp4	MP4	10.9 MB
017. Chapter 3. Unmasking hacker communications.mp4	MP4	27.9 MB
018. Chapter 3. Twitter demographic projections.mp4	MP4	46 MB
019. Chapter 3. Exercises.mp4	MP4	4.9 MB
020. Chapter 3. Summary.mp4	MP4	2.7 MB
021. Chapter 4. Processing large datasets with lazy workflows.mp4	MP4	6.3 MB
022. Chapter 4. Some lazy functions to know.mp4	MP4	12.6 MB
023. Chapter 4. Understanding iterators The magic behind lazy Python.mp4	MP4	18.5 MB
024. Chapter 4. The poetry puzzle Lazily processing a large dataset.mp4	MP4	29.8 MB
025. Chapter 4. Lazy simulations Simulating fishing villages.mp4	MP4	27.2 MB
026. Chapter 4. Exercises.mp4	MP4	6.2 MB
027. Chapter 4. Summary.mp4	MP4	4.1 MB
028. Chapter 5. Accumulation operations with reduce.mp4	MP4	6.6 MB
029. Chapter 5. The three parts of reduce.mp4	MP4	25.1 MB
030. Chapter 5. Reductions you re familiar with.mp4	MP4	10.3 MB
031. Chapter 5. Using map and reduce together.mp4	MP4	12.4 MB
032. Chapter 5. Analyzing car trends with reduce.mp4	MP4	22.1 MB
033. Chapter 5. Speeding up map and reduce.mp4	MP4	4 MB
034. Chapter 5. Exercises.mp4	MP4	3.7 MB
035. Chapter 5. Summary.mp4	MP4	3 MB
036. Chapter 6. Speeding up map and reduce with advanced parallelization.mp4	MP4	26 MB
037. Chapter 6. Solving the parallel map and reduce paradox.mp4	MP4	49 MB
038. Chapter 6. Summary.mp4	MP4	3.1 MB
039. Part 2.mp4	MP4	2 MB
040. Chapter 7. Processing truly big datasets with Hadoop and Spark.mp4	MP4	11.9 MB
041. Chapter 7. Hadoop for batch processing.mp4	MP4	13.5 MB
042. Chapter 7. Using Hadoop to find high-scoring words.mp4	MP4	14.5 MB
043. Chapter 7. Spark for interactive workflows.mp4	MP4	18.6 MB
044. Chapter 7. Document word scores in Spark.mp4	MP4	19.8 MB
045. Chapter 7. Exercises.mp4	MP4	3.5 MB
046. Chapter 7. Summary.mp4	MP4	2.7 MB
047. Chapter 8. Best practices for large data with Apache Streaming and mrjob.mp4	MP4	9.9 MB
048. Chapter 8. Tennis analytics with Hadoop.mp4	MP4	28.3 MB
049. Chapter 8. mrjob for Pythonic Hadoop streaming.mp4	MP4	25 MB
050. Chapter 8. Tennis match analysis with mrjob.mp4	MP4	24.7 MB
051. Chapter 8. Exercises.mp4	MP4	2.8 MB
052. Chapter 8. Summary.mp4	MP4	3.2 MB
053. Chapter 9. PageRank with map and reduce in PySpark.mp4	MP4	32.6 MB
054. Chapter 9. Tennis rankings with Elo and PageRank in PySpark.mp4	MP4	51.1 MB
055. Chapter 9. Exercises.mp4	MP4	4.7 MB
056. Chapter 9. Summary.mp4	MP4	3.1 MB
057. Chapter 10. Faster decision-making with machine learning and PySpark.mp4	MP4	26 MB
058. Chapter 10. Machine learning basics with decision tree classifiers.mp4	MP4	40.7 MB
059. Chapter 10. Fast random forest classifications in PySpark.mp4	MP4	15.4 MB
060. Chapter 10. Summary.mp4	MP4	2.9 MB
061. Part 3.mp4	MP4	2.1 MB
062. Chapter 11. Large datasets in the cloud with Amazon Web Services and S3.mp4	MP4	23.2 MB
063. Chapter 11. Storing data in the cloud with S3.mp4	MP4	41 MB
064. Chapter 11. Exercises.mp4	MP4	2.4 MB
065. Chapter 11. Summary.mp4	MP4	3.2 MB
066. Chapter 12. MapReduce in the cloud with Amazon s Elastic MapReduce.mp4	MP4	33.2 MB
067. Chapter 12. Machine learning in the cloud with Spark on EMR.mp4	MP4	47.2 MB
068. Chapter 12. Exercises.mp4	MP4	2.5 MB
069. Chapter 12. Summary.mp4	MP4	3.4 MB
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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Mastering Large Datasets with Python, Video Edition

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