Mastering Large Datasets with Python Video Edition FreeCourseWeb
Torrent Info
| Category | Other |
| Added | Monday 2nd December 2024 07:46:22 PM (1 year ago) |
| Size | 1.0 GB |
| Peers | 1 Peers (1 Seeders and 0 leechers) update |
| Downloaded | 110 times |
| Uploader | FreeCourseWeb Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 1 |
| Leechers | 0 |
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| Filename | Size |
|---|---|
| Get Bonus Downloads Here.url | 183 bytes |
| 001. Part 1.mp4 | 1.6 MB |
| 002. Chapter 1. Introduction.mp4 | 7.4 MB |
| 003. Chapter 1. Why large datasets.mp4 | 7.4 MB |
| 004. Chapter 1. What is parallel computing.mp4 | 15.6 MB |
| 005. Chapter 1. The map and reduce style.mp4 | 14.6 MB |
| 006. Chapter 1. Distributed computing for speed and scale.mp4 | 6.7 MB |
| 007. Chapter 1. Hadoop A distributed framework for map and reduce.mp4 | 6.2 MB |
| 008. Chapter 1. Spark for high-powered map, reduce, and more.mp4 | 3.0 MB |
| 009. Chapter 1. AWS Elastic MapReduce Large datasets in the cloud.mp4 | 3.3 MB |
| 010. Chapter 1. Summary.mp4 | 3.0 MB |
| 011. Chapter 2. Accelerating large dataset work Map and parallel computing.mp4 | 28.9 MB |
| 012. Chapter 2. Parallel processing.mp4 | 57.4 MB |
| 013. Chapter 2. Putting it all together Scraping a Wikipedia network.mp4 | 33.8 MB |
| 014. Chapter 2. Exercises.mp4 | 6.6 MB |
| 015. Chapter 2. Summary.mp4 | 2.8 MB |
| 016. Chapter 3. Function pipelines for mapping complex transformations.mp4 | 10.9 MB |
| 017. Chapter 3. Unmasking hacker communications.mp4 | 27.9 MB |
| 018. Chapter 3. Twitter demographic projections.mp4 | 46.0 MB |
| 019. Chapter 3. Exercises.mp4 | 4.9 MB |
| 020. Chapter 3. Summary.mp4 | 2.7 MB |
| 021. Chapter 4. Processing large datasets with lazy workflows.mp4 | 6.3 MB |
| 022. Chapter 4. Some lazy functions to know.mp4 | 12.6 MB |
| 023. Chapter 4. Understanding iterators The magic behind lazy Python.mp4 | 18.5 MB |
| 024. Chapter 4. The poetry puzzle Lazily processing a large dataset.mp4 | 29.8 MB |
| 025. Chapter 4. Lazy simulations Simulating fishing villages.mp4 | 27.2 MB |
| 026. Chapter 4. Exercises.mp4 | 6.2 MB |
| 027. Chapter 4. Summary.mp4 | 4.1 MB |
| 028. Chapter 5. Accumulation operations with reduce.mp4 | 6.6 MB |
| 029. Chapter 5. The three parts of reduce.mp4 | 25.1 MB |
| 030. Chapter 5. Reductions you re familiar with.mp4 | 10.3 MB |
| 031. Chapter 5. Using map and reduce together.mp4 | 12.4 MB |
| 032. Chapter 5. Analyzing car trends with reduce.mp4 | 22.1 MB |
| 033. Chapter 5. Speeding up map and reduce.mp4 | 4.0 MB |
| 034. Chapter 5. Exercises.mp4 | 3.7 MB |
| 035. Chapter 5. Summary.mp4 | 3.0 MB |
| 036. Chapter 6. Speeding up map and reduce with advanced parallelization.mp4 | 26.0 MB |
| 037. Chapter 6. Solving the parallel map and reduce paradox.mp4 | 49.0 MB |
| 038. Chapter 6. Summary.mp4 | 3.1 MB |
| 039. Part 2.mp4 | 2.0 MB |
| 040. Chapter 7. Processing truly big datasets with Hadoop and Spark.mp4 | 11.9 MB |
| 041. Chapter 7. Hadoop for batch processing.mp4 | 13.5 MB |
| 042. Chapter 7. Using Hadoop to find high-scoring words.mp4 | 14.5 MB |
| 043. Chapter 7. Spark for interactive workflows.mp4 | 18.6 MB |
| 044. Chapter 7. Document word scores in Spark.mp4 | 19.8 MB |
| 045. Chapter 7. Exercises.mp4 | 3.5 MB |
| 046. Chapter 7. Summary.mp4 | 2.7 MB |
| 047. Chapter 8. Best practices for large data with Apache Streaming and mrjob.mp4 | 9.9 MB |
| 048. Chapter 8. Tennis analytics with Hadoop.mp4 | 28.3 MB |
| 049. Chapter 8. mrjob for Pythonic Hadoop streaming.mp4 | 25.0 MB |
| 050. Chapter 8. Tennis match analysis with mrjob.mp4 | 24.7 MB |
| 051. Chapter 8. Exercises.mp4 | 2.8 MB |
| 052. Chapter 8. Summary.mp4 | 3.2 MB |
| 053. Chapter 9. PageRank with map and reduce in PySpark.mp4 | 32.6 MB |
| 054. Chapter 9. Tennis rankings with Elo and PageRank in PySpark.mp4 | 51.1 MB |
| 055. Chapter 9. Exercises.mp4 | 4.7 MB |
| 056. Chapter 9. Summary.mp4 | 3.1 MB |
| 057. Chapter 10. Faster decision-making with machine learning and PySpark.mp4 | 26.0 MB |
| 058. Chapter 10. Machine learning basics with decision tree classifiers.mp4 | 40.7 MB |
| 059. Chapter 10. Fast random forest classifications in PySpark.mp4 | 15.4 MB |
| 060. Chapter 10. Summary.mp4 | 2.9 MB |
| 061. Part 3.mp4 | 2.1 MB |
| 062. Chapter 11. Large datasets in the cloud with Amazon Web Services and S3.mp4 | 23.2 MB |
| 063. Chapter 11. Storing data in the cloud with S3.mp4 | 41.0 MB |
| 064. Chapter 11. Exercises.mp4 | 2.4 MB |
| 065. Chapter 11. Summary.mp4 | 3.2 MB |
| 066. Chapter 12. MapReduce in the cloud with Amazon s Elastic MapReduce.mp4 | 33.2 MB |
| 067. Chapter 12. Machine learning in the cloud with Spark on EMR.mp4 | 47.2 MB |
| 068. Chapter 12. Exercises.mp4 | 2.5 MB |
| 069. Chapter 12. Summary.mp4 | 3.4 MB |
| Bonus Resources.txt | 386 bytes |
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