Data Science with Python and Dask, Video Edition

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Data Science with Python and Dask, Video Edition

Torrent Contents Size: 1.3 GB

Data Science with Python and Dask, Video Edition
▼ show more 97 files
001. Part 1. The building blocks of scalable computing.en.srt
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001. Part 1. The building blocks of scalable computing.mp4
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002. Chapter 1. Why scalable computing matters.en.srt
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002. Chapter 1. Why scalable computing matters.mp4
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003. Chapter 1. Cooking with DAGs.en.srt
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003. Chapter 1. Cooking with DAGs.mp4
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004. Chapter 1. Scaling out, concurrency, and recovery.en.srt
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004. Chapter 1. Scaling out, concurrency, and recovery.mp4
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005. Chapter 1. Introducing a companion dataset.en.srt
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005. Chapter 1. Introducing a companion dataset.mp4
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006. Chapter 1. Summary.en.srt
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006. Chapter 1. Summary.mp4
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007. Chapter 2. Introducing Dask.en.srt
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007. Chapter 2. Introducing Dask.mp4
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008. Chapter 2. Visualizing DAGs.en.srt
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008. Chapter 2. Visualizing DAGs.mp4
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009. Chapter 2. Task scheduling.en.srt
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009. Chapter 2. Task scheduling.mp4
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010. Chapter 2. Summary.en.srt
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010. Chapter 2. Summary.mp4
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011. Part 2. Working with structured data using Dask DataFrames.en.srt
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011. Part 2. Working with structured data using Dask DataFrames.mp4
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012. Chapter 3. Introducing Dask DataFrames.en.srt
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012. Chapter 3. Introducing Dask DataFrames.mp4
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013. Chapter 3. Dask and Pandas.en.srt
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013. Chapter 3. Dask and Pandas.mp4
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014. Chapter 3. Limitations of Dask DataFrames.en.srt
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014. Chapter 3. Limitations of Dask DataFrames.mp4
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015. Chapter 3. Summary.en.srt
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015. Chapter 3. Summary.mp4
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016. Chapter 4. Loading data into DataFrames.en.srt
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016. Chapter 4. Loading data into DataFrames.mp4
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017. Chapter 4. Reading data from relational databases.en.srt
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017. Chapter 4. Reading data from relational databases.mp4
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018. Chapter 4. Reading data from HDFS and S3.en.srt
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018. Chapter 4. Reading data from HDFS and S3.mp4
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019. Chapter 4. Reading data in Parquet format.en.srt
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019. Chapter 4. Reading data in Parquet format.mp4
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020. Chapter 4. Summary.en.srt
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020. Chapter 4. Summary.mp4
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021. Chapter 5. Cleaning and transforming DataFrames.en.srt
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021. Chapter 5. Cleaning and transforming DataFrames.mp4
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022. Chapter 5. Dealing with missing values.en.srt
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022. Chapter 5. Dealing with missing values.mp4
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023. Chapter 5. Recoding data.en.srt
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023. Chapter 5. Recoding data.mp4
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024. Chapter 5. Elementwise operations.en.srt
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024. Chapter 5. Elementwise operations.mp4
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025. Chapter 5. Filtering and reindexing DataFrames.en.srt
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025. Chapter 5. Filtering and reindexing DataFrames.mp4
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026. Chapter 5. Joining and concatenating DataFrames.en.srt
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026. Chapter 5. Joining and concatenating DataFrames.mp4
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027. Chapter 5. Writing data to text files and Parquet files.en.srt
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027. Chapter 5. Writing data to text files and Parquet files.mp4
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028. Chapter 5. Summary.en.srt
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028. Chapter 5. Summary.mp4
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029. Chapter 6. Summarizing and analyzing DataFrames.en.srt
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029. Chapter 6. Summarizing and analyzing DataFrames.mp4
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030. Chapter 6. Built-In aggregate functions.en.srt
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030. Chapter 6. Built-In aggregate functions.mp4
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031. Chapter 6. Custom aggregate functions.en.srt
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031. Chapter 6. Custom aggregate functions.mp4
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032. Chapter 6. Rolling (window) functions.en.srt
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032. Chapter 6. Rolling (window) functions.mp4
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033. Chapter 6. Summary.en.srt
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033. Chapter 6. Summary.mp4
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034. Chapter 7. Visualizing DataFrames with Seaborn.en.srt
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034. Chapter 7. Visualizing DataFrames with Seaborn.mp4
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035. Chapter 7. Visualizing continuous relationships with scatterplot and regplot.en.srt
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035. Chapter 7. Visualizing continuous relationships with scatterplot and regplot.mp4
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036. Chapter 7. Visualizing categorical relationships with violinplot.en.srt
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036. Chapter 7. Visualizing categorical relationships with violinplot.mp4
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037. Chapter 7. Visualizing two categorical relationships with heatmap.en.srt
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037. Chapter 7. Visualizing two categorical relationships with heatmap.mp4
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038. Chapter 7. Summary.en.srt
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038. Chapter 7. Summary.mp4
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039. Chapter 8. Visualizing location data with Datashader.en.srt
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039. Chapter 8. Visualizing location data with Datashader.mp4
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040. Chapter 8. Plotting location data as an interactive heatmap.en.srt
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040. Chapter 8. Plotting location data as an interactive heatmap.mp4
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041. Chapter 8. Summary.en.srt
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041. Chapter 8. Summary.mp4
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042. Part 3. Extending and deploying Dask.en.srt
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042. Part 3. Extending and deploying Dask.mp4
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043. Chapter 9. Working with Bags and Arrays.en.srt
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043. Chapter 9. Working with Bags and Arrays.mp4
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044. Chapter 9. Transforming, filtering, and folding elements.en.srt
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044. Chapter 9. Transforming, filtering, and folding elements.mp4
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045. Chapter 9. Building Arrays and DataFrames from Bags.en.srt
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045. Chapter 9. Building Arrays and DataFrames from Bags.mp4
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046. Chapter 9. Using Bags for parallel text analysis with NLTK.en.srt
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046. Chapter 9. Using Bags for parallel text analysis with NLTK.mp4
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047. Chapter 9. Summary.en.srt
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047. Chapter 9. Summary.mp4
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048. Chapter 10. Machine learning with Dask-ML.en.srt
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048. Chapter 10. Machine learning with Dask-ML.mp4
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049. Chapter 10. Evaluating and tuning Dask-ML models.en.srt
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049. Chapter 10. Evaluating and tuning Dask-ML models.mp4
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050. Chapter 10. Persisting Dask-ML models.en.srt
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050. Chapter 10. Persisting Dask-ML models.mp4
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051. Chapter 10. Summary.en.srt
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051. Chapter 10. Summary.mp4
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052. Chapter 11. Scaling and deploying Dask.en.srt
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052. Chapter 11. Scaling and deploying Dask.mp4
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053. Chapter 11. Running and monitoring Dask jobs on a cluster.en.srt
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053. Chapter 11. Running and monitoring Dask jobs on a cluster.mp4
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054. Chapter 11. Cleaning up the Dask cluster on AWS.en.srt
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054. Chapter 11. Cleaning up the Dask cluster on AWS.mp4
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055. Chapter 11. Summary.en.srt
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055. Chapter 11. Summary.mp4
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Bonus Resources.txt
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Get Bonus Downloads Here.url
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