Mastering Large Datasets with Python Video Edition FreeCourseWeb

Mastering Large Datasets with Python Video Edition FreeCourseWeb
     Get Bonus Downloads Here.url -


     001. Part 1.mp4 -


     002. Chapter 1. Introduction.mp4 -


     003. Chapter 1. Why large datasets.mp4 -


     004. Chapter 1. What is parallel computing.mp4 -


     005. Chapter 1. The map and reduce style.mp4 -


     006. Chapter 1. Distributed computing for speed and scale.mp4 -


     007. Chapter 1. Hadoop A distributed framework for map and reduce.mp4 -


     008. Chapter 1. Spark for high-powered map, reduce, and more.mp4 -


     009. Chapter 1. AWS Elastic MapReduce Large datasets in the cloud.mp4 -


     010. Chapter 1. Summary.mp4 -


     011. Chapter 2. Accelerating large dataset work Map and parallel computing.mp4 -


     012. Chapter 2. Parallel processing.mp4 -


     013. Chapter 2. Putting it all together Scraping a Wikipedia network.mp4 -


     014. Chapter 2. Exercises.mp4 -


     015. Chapter 2. Summary.mp4 -


     016. Chapter 3. Function pipelines for mapping complex transformations.mp4 -


     017. Chapter 3. Unmasking hacker communications.mp4 -


     018. Chapter 3. Twitter demographic projections.mp4 -


     019. Chapter 3. Exercises.mp4 -


     020. Chapter 3. Summary.mp4 -


     021. Chapter 4. Processing large datasets with lazy workflows.mp4 -


     022. Chapter 4. Some lazy functions to know.mp4 -


     023. Chapter 4. Understanding iterators The magic behind lazy Python.mp4 -


     024. Chapter 4. The poetry puzzle Lazily processing a large dataset.mp4 -


     025. Chapter 4. Lazy simulations Simulating fishing villages.mp4 -


     026. Chapter 4. Exercises.mp4 -


     027. Chapter 4. Summary.mp4 -


     028. Chapter 5. Accumulation operations with reduce.mp4 -


     029. Chapter 5. The three parts of reduce.mp4 -


     030. Chapter 5. Reductions you re familiar with.mp4 -


     031. Chapter 5. Using map and reduce together.mp4 -


     032. Chapter 5. Analyzing car trends with reduce.mp4 -


     033. Chapter 5. Speeding up map and reduce.mp4 -


     034. Chapter 5. Exercises.mp4 -


     035. Chapter 5. Summary.mp4 -


     036. Chapter 6. Speeding up map and reduce with advanced parallelization.mp4 -


     037. Chapter 6. Solving the parallel map and reduce paradox.mp4 -


     038. Chapter 6. Summary.mp4 -


     039. Part 2.mp4 -


     040. Chapter 7. Processing truly big datasets with Hadoop and Spark.mp4 -


     041. Chapter 7. Hadoop for batch processing.mp4 -


     042. Chapter 7. Using Hadoop to find high-scoring words.mp4 -


     043. Chapter 7. Spark for interactive workflows.mp4 -


     044. Chapter 7. Document word scores in Spark.mp4 -


     045. Chapter 7. Exercises.mp4 -


     046. Chapter 7. Summary.mp4 -


     047. Chapter 8. Best practices for large data with Apache Streaming and mrjob.mp4 -


     048. Chapter 8. Tennis analytics with Hadoop.mp4 -


     049. Chapter 8. mrjob for Pythonic Hadoop streaming.mp4 -


     050. Chapter 8. Tennis match analysis with mrjob.mp4 -


     051. Chapter 8. Exercises.mp4 -


     052. Chapter 8. Summary.mp4 -


     053. Chapter 9. PageRank with map and reduce in PySpark.mp4 -


     054. Chapter 9. Tennis rankings with Elo and PageRank in PySpark.mp4 -


     055. Chapter 9. Exercises.mp4 -


     056. Chapter 9. Summary.mp4 -


     057. Chapter 10. Faster decision-making with machine learning and PySpark.mp4 -


     058. Chapter 10. Machine learning basics with decision tree classifiers.mp4 -


     059. Chapter 10. Fast random forest classifications in PySpark.mp4 -


     060. Chapter 10. Summary.mp4 -


     061. Part 3.mp4 -


     062. Chapter 11. Large datasets in the cloud with Amazon Web Services and S3.mp4 -


     063. Chapter 11. Storing data in the cloud with S3.mp4 -


     064. Chapter 11. Exercises.mp4 -


     065. Chapter 11. Summary.mp4 -


     066. Chapter 12. MapReduce in the cloud with Amazon s Elastic MapReduce.mp4 -


     067. Chapter 12. Machine learning in the cloud with Spark on EMR.mp4 -


     068. Chapter 12. Exercises.mp4 -


     069. Chapter 12. Summary.mp4 -


     Bonus Resources.txt -

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