FreeCourseWeb com Mastering Large Datasets with Python Video Edition

FreeCourseWeb com Mastering Large Datasets with Python Video Edition

Name	[ FreeCourseWeb.com ] Mastering Large Datasets with Python, Video Edition	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.1 GB
Total Files	71
Last Seen	2025-07-18 00:01
Hash	BE478E7E364ED7F705B50E1E0594437E1C10C665

/
Get Bonus Downloads Here.url	0.2 KB
/~Get Your Files Here !/
001. Part 1.mp4	1.6 MB
002. Chapter 1. Introduction.mp4	7.7 MB
003. Chapter 1. Why large datasets.mp4	7.8 MB
004. Chapter 1. What is parallel computing.mp4	16.3 MB
005. Chapter 1. The map and reduce style.mp4	15.3 MB
006. Chapter 1. Distributed computing for speed and scale.mp4	7.0 MB
007. Chapter 1. Hadoop A distributed framework for map and reduce.mp4	6.5 MB
008. Chapter 1. Spark for high-powered map, reduce, and more.mp4	3.2 MB
009. Chapter 1. AWS Elastic MapReduce Large datasets in the cloud.mp4	3.5 MB
010. Chapter 1. Summary.mp4	3.2 MB
011. Chapter 2. Accelerating large dataset work Map and parallel computing.mp4	30.3 MB
012. Chapter 2. Parallel processing.mp4	60.2 MB
013. Chapter 2. Putting it all together Scraping a Wikipedia network.mp4	35.4 MB
014. Chapter 2. Exercises.mp4	7.0 MB
015. Chapter 2. Summary.mp4	2.9 MB
016. Chapter 3. Function pipelines for mapping complex transformations.mp4	11.4 MB
017. Chapter 3. Unmasking hacker communications.mp4	29.2 MB
018. Chapter 3. Twitter demographic projections.mp4	48.2 MB
019. Chapter 3. Exercises.mp4	5.1 MB
020. Chapter 3. Summary.mp4	2.8 MB
021. Chapter 4. Processing large datasets with lazy workflows.mp4	6.7 MB
022. Chapter 4. Some lazy functions to know.mp4	13.2 MB
023. Chapter 4. Understanding iterators The magic behind lazy Python.mp4	19.4 MB
024. Chapter 4. The poetry puzzle Lazily processing a large dataset.mp4	31.3 MB
025. Chapter 4. Lazy simulations Simulating fishing villages.mp4	28.5 MB
026. Chapter 4. Exercises.mp4	6.5 MB
027. Chapter 4. Summary.mp4	4.3 MB
028. Chapter 5. Accumulation operations with reduce.mp4	6.9 MB
029. Chapter 5. The three parts of reduce.mp4	26.3 MB
030. Chapter 5. Reductions you re familiar with.mp4	10.8 MB
031. Chapter 5. Using map and reduce together.mp4	13.0 MB
032. Chapter 5. Analyzing car trends with reduce.mp4	23.2 MB
033. Chapter 5. Speeding up map and reduce.mp4	4.2 MB
034. Chapter 5. Exercises.mp4	3.9 MB
035. Chapter 5. Summary.mp4	3.2 MB
036. Chapter 6. Speeding up map and reduce with advanced parallelization.mp4	27.3 MB
037. Chapter 6. Solving the parallel map and reduce paradox.mp4	51.4 MB
038. Chapter 6. Summary.mp4	3.2 MB
039. Part 2.mp4	2.1 MB
040. Chapter 7. Processing truly big datasets with Hadoop and Spark.mp4	12.4 MB
041. Chapter 7. Hadoop for batch processing.mp4	14.1 MB
042. Chapter 7. Using Hadoop to find high-scoring words.mp4	15.2 MB
043. Chapter 7. Spark for interactive workflows.mp4	19.5 MB
044. Chapter 7. Document word scores in Spark.mp4	20.8 MB
045. Chapter 7. Exercises.mp4	3.7 MB
046. Chapter 7. Summary.mp4	2.8 MB
047. Chapter 8. Best practices for large data with Apache Streaming and mrjob.mp4	10.4 MB
048. Chapter 8. Tennis analytics with Hadoop.mp4	29.7 MB
049. Chapter 8. mrjob for Pythonic Hadoop streaming.mp4	26.2 MB
050. Chapter 8. Tennis match analysis with mrjob.mp4	25.9 MB
051. Chapter 8. Exercises.mp4	2.9 MB
052. Chapter 8. Summary.mp4	3.3 MB
053. Chapter 9. PageRank with map and reduce in PySpark.mp4	34.2 MB
054. Chapter 9. Tennis rankings with Elo and PageRank in PySpark.mp4	53.6 MB
055. Chapter 9. Exercises.mp4	5.0 MB
056. Chapter 9. Summary.mp4	3.2 MB
057. Chapter 10. Faster decision-making with machine learning and PySpark.mp4	27.2 MB
058. Chapter 10. Machine learning basics with decision tree classifiers.mp4	42.7 MB
059. Chapter 10. Fast random forest classifications in PySpark.mp4	16.2 MB
060. Chapter 10. Summary.mp4	3.1 MB
061. Part 3.mp4	2.2 MB
062. Chapter 11. Large datasets in the cloud with Amazon Web Services and S3.mp4	24.4 MB
063. Chapter 11. Storing data in the cloud with S3.mp4	42.9 MB
064. Chapter 11. Exercises.mp4	2.6 MB
065. Chapter 11. Summary.mp4	3.4 MB
066. Chapter 12. MapReduce in the cloud with Amazon s Elastic MapReduce.mp4	34.8 MB
067. Chapter 12. Machine learning in the cloud with Spark on EMR.mp4	49.5 MB
068. Chapter 12. Exercises.mp4	2.6 MB
069. Chapter 12. Summary.mp4	3.6 MB
Bonus Resources.txt	0.4 KB
Total files 71