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[ FreeCourseWeb.com ] Mastering Large Datasets with Python, Video Edition

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File Name

Size

Get Bonus Downloads Here.url

183B

~Get Your Files Here !/001. Part 1.mp4

1.56MB

~Get Your Files Here !/002. Chapter 1. Introduction.mp4

7.38MB

~Get Your Files Here !/003. Chapter 1. Why large datasets.mp4

7.41MB

~Get Your Files Here !/004. Chapter 1. What is parallel computing.mp4

15.57MB

~Get Your Files Here !/005. Chapter 1. The map and reduce style.mp4

14.55MB

~Get Your Files Here !/006. Chapter 1. Distributed computing for speed and scale.mp4

6.69MB

~Get Your Files Here !/007. Chapter 1. Hadoop A distributed framework for map and reduce.mp4

6.19MB

~Get Your Files Here !/008. Chapter 1. Spark for high-powered map, reduce, and more.mp4

3.05MB

~Get Your Files Here !/009. Chapter 1. AWS Elastic MapReduce Large datasets in the cloud.mp4

3.33MB

~Get Your Files Here !/010. Chapter 1. Summary.mp4

3.04MB

~Get Your Files Here !/011. Chapter 2. Accelerating large dataset work Map and parallel computing.mp4

28.88MB

~Get Your Files Here !/012. Chapter 2. Parallel processing.mp4

57.44MB

~Get Your Files Here !/013. Chapter 2. Putting it all together Scraping a Wikipedia network.mp4

33.79MB

~Get Your Files Here !/014. Chapter 2. Exercises.mp4

6.64MB

~Get Your Files Here !/015. Chapter 2. Summary.mp4

2.79MB

~Get Your Files Here !/016. Chapter 3. Function pipelines for mapping complex transformations.mp4

10.88MB

~Get Your Files Here !/017. Chapter 3. Unmasking hacker communications.mp4

27.88MB

~Get Your Files Here !/018. Chapter 3. Twitter demographic projections.mp4

45.96MB

~Get Your Files Here !/019. Chapter 3. Exercises.mp4

4.87MB

~Get Your Files Here !/020. Chapter 3. Summary.mp4

2.68MB

~Get Your Files Here !/021. Chapter 4. Processing large datasets with lazy workflows.mp4

6.35MB

~Get Your Files Here !/022. Chapter 4. Some lazy functions to know.mp4

12.63MB

~Get Your Files Here !/023. Chapter 4. Understanding iterators The magic behind lazy Python.mp4

18.51MB

~Get Your Files Here !/024. Chapter 4. The poetry puzzle Lazily processing a large dataset.mp4

29.85MB

~Get Your Files Here !/025. Chapter 4. Lazy simulations Simulating fishing villages.mp4

27.16MB

~Get Your Files Here !/026. Chapter 4. Exercises.mp4

6.16MB

~Get Your Files Here !/027. Chapter 4. Summary.mp4

4.06MB

~Get Your Files Here !/028. Chapter 5. Accumulation operations with reduce.mp4

6.6MB

~Get Your Files Here !/029. Chapter 5. The three parts of reduce.mp4

25.1MB

~Get Your Files Here !/030. Chapter 5. Reductions you re familiar with.mp4

10.34MB

~Get Your Files Here !/031. Chapter 5. Using map and reduce together.mp4

12.44MB

~Get Your Files Here !/032. Chapter 5. Analyzing car trends with reduce.mp4

22.15MB

~Get Your Files Here !/033. Chapter 5. Speeding up map and reduce.mp4

3.96MB

~Get Your Files Here !/034. Chapter 5. Exercises.mp4

3.74MB

~Get Your Files Here !/035. Chapter 5. Summary.mp4

3.04MB

~Get Your Files Here !/036. Chapter 6. Speeding up map and reduce with advanced parallelization.mp4

25.99MB

~Get Your Files Here !/037. Chapter 6. Solving the parallel map and reduce paradox.mp4

48.98MB

~Get Your Files Here !/038. Chapter 6. Summary.mp4

3.06MB

~Get Your Files Here !/039. Part 2.mp4

2.01MB

~Get Your Files Here !/040. Chapter 7. Processing truly big datasets with Hadoop and Spark.mp4

11.87MB

~Get Your Files Here !/041. Chapter 7. Hadoop for batch processing.mp4

13.49MB

~Get Your Files Here !/042. Chapter 7. Using Hadoop to find high-scoring words.mp4

14.49MB

~Get Your Files Here !/043. Chapter 7. Spark for interactive workflows.mp4

18.57MB

~Get Your Files Here !/044. Chapter 7. Document word scores in Spark.mp4

19.8MB

~Get Your Files Here !/045. Chapter 7. Exercises.mp4

3.54MB

~Get Your Files Here !/046. Chapter 7. Summary.mp4

2.66MB

~Get Your Files Here !/047. Chapter 8. Best practices for large data with Apache Streaming and mrjob.mp4

9.92MB

~Get Your Files Here !/048. Chapter 8. Tennis analytics with Hadoop.mp4

28.34MB

~Get Your Files Here !/049. Chapter 8. mrjob for Pythonic Hadoop streaming.mp4

25.03MB

~Get Your Files Here !/050. Chapter 8. Tennis match analysis with mrjob.mp4

24.7MB

~Get Your Files Here !/051. Chapter 8. Exercises.mp4

2.76MB

~Get Your Files Here !/052. Chapter 8. Summary.mp4

3.16MB

~Get Your Files Here !/053. Chapter 9. PageRank with map and reduce in PySpark.mp4

32.59MB

~Get Your Files Here !/054. Chapter 9. Tennis rankings with Elo and PageRank in PySpark.mp4

51.09MB

~Get Your Files Here !/055. Chapter 9. Exercises.mp4

4.74MB

~Get Your Files Here !/056. Chapter 9. Summary.mp4

3.08MB

~Get Your Files Here !/057. Chapter 10. Faster decision-making with machine learning and PySpark.mp4

25.98MB

~Get Your Files Here !/058. Chapter 10. Machine learning basics with decision tree classifiers.mp4

40.69MB

~Get Your Files Here !/059. Chapter 10. Fast random forest classifications in PySpark.mp4

15.4MB

~Get Your Files Here !/060. Chapter 10. Summary.mp4

2.92MB

~Get Your Files Here !/061. Part 3.mp4

2.11MB

~Get Your Files Here !/062. Chapter 11. Large datasets in the cloud with Amazon Web Services and S3.mp4

23.24MB

~Get Your Files Here !/063. Chapter 11. Storing data in the cloud with S3.mp4

40.96MB

~Get Your Files Here !/064. Chapter 11. Exercises.mp4

2.44MB

~Get Your Files Here !/065. Chapter 11. Summary.mp4

3.21MB

~Get Your Files Here !/066. Chapter 12. MapReduce in the cloud with Amazon s Elastic MapReduce.mp4

33.2MB

~Get Your Files Here !/067. Chapter 12. Machine learning in the cloud with Spark on EMR.mp4

47.21MB

~Get Your Files Here !/068. Chapter 12. Exercises.mp4

2.47MB

~Get Your Files Here !/069. Chapter 12. Summary.mp4

3.42MB

~Get Your Files Here !/Bonus Resources.txt

386B

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