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filePluralsight-Streams-Coll-xgVN

Pluralsight Streams Collectors and Optionals for Data Processing
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_01-Introduction to the Course.mp43.19MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_02-What Are You Going to Learn in This Course.mp43.59MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_03-What Should You Know to Follow This Course Agenda of This Module.mp43.35MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_04-What Is a Spliterator.mp46.09MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_05-The Spliterator Interface What Do We Need to Implement.mp46.72MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_06-The ArrayListSpliterator the tryAdvance Method.mp44.01MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_07-The ArrayListSpliterator the trySplit Method.mp44.46MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_08-Introduction to the Live Coding How to Write a Spliterator.mp44.02MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_09-Using Our Own Spliterator Setting up the Application.mp45.42MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_10-Using Our Own Spliterator Writing the Use Case Pattern.mp45.90MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_11-Implementing Our Own Spliterator The First Methods.mp49.50MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_12-Implementing Our Own Spliterator The tryAdvance Method.mp411.24MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_13-Implementing the tryAdvance Method Setting the Returned ob< x> ject.mp45.77MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_14-Implementing Our Own Spliterator Running the Example.mp43.76MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_15-Live Coding Session Wrapup.mp41.36MB
  • MP401. Connecting Streams toCustom SourcesThe SpliteratorPattern\\/01_16-Module Wrapup.mp41.73MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_01-Introduction and Agenda of the module.mp41.98MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_02-Concatenating Streams The Stream.concat Pattern.mp44.62MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_03-Merging Streams The Stream.of and flatMap Pattern.mp43.80MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_04-How Does the flatMap Pattern Work Examples.mp42.99MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_05-Splitting a Text into Words Using the flatMap Pattern.mp45.76MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_06-Splitting a Text into Words Putting the Result in a Set.mp43.36MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_07-State of a Stream The Stream.characteristics Method.mp44.92MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_08-What Are the Eight Characteristics of a Stream.mp43.96MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_09-How Does the Steam Methods Modify the State of a Stream.mp44.14MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_10-State of a Stream A First Example.mp42.82MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_11-How to Use the Stream.sorted Method with a Comparator.mp41.33MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_12-Live Coding Session Presentation of the Example.mp45.19MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_13-Live Coding Merging Streams Using Stream.of and flatMap.mp410.03MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_14-Live Coding Splitting a Large Text in Words Using flatMap.mp410.82MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_15-Live Coding Session Summary.mp41.05MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_16-Streams of Numbers Converting from a Stream of ob< x> jects.mp43.24MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_17-Optimizing the Conversion from a Stream of ob< x> jects.mp43.10MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_18-Patterns to Build Streams of Numbers.mp42.55MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_19-Specialized Methods min max and summaryStatistics.mp45.13MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_20-Live Coding Session Introduction of the Scrabble Example.mp45.33MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_21-Live Coding Computing the Score of a Word in Scrabble.mp410.56MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_22-Live Coding Getting the Word with the Best Score.mp410.84MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_23-Live Coding Computing Statistics on the Words of Shakespeare.mp46.13MB
  • MP402. Advanced Ja 8 Stream Patterns Flatp Streams of Numbers\\/02_24-Live Coding Session and Module Wrapup.mp43.15MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_01-Introduction and Agenda of the Module.mp41.84MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_02-Building Parallel Processing on Multithread.mp44.11MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_03-Tools for Parallel Processing in the JDK.mp44.23MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_04-Parallel Streams First Patterns.mp43.46MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_05-Caveats in Parallel Processing Synchronization and Visibility.mp42.43MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_06-Stateful and Stateless Operations The Limit Method Example.mp45.77MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_07-How to Tell a Stateless Operation from a Stateful One.mp41.35MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_08-Parallel Perfornce Analysis Desc< x> ription of the Use Case.mp45.56MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_09-Parallel Perfornce Analysis Understanding the Computing Times.mp43.21MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_10-A Sneaky Stateful Operation The unordered Method.mp44.11MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_11-Parallel Reduction What Not to Do.mp46.26MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_12-Tuning Paralleli Setting the Size of the Common Fork Join Pool.mp42.88MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_13-Tuning Paralleli Setting the Executor of a Computation.mp44.02MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_14-Live Coding Understanding the Multithreaded Computation.mp48.93MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_15-Live Coding Parallel Reduction How Can It Go Wrong.mp48.30MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_16-Live Coding Parallel Reduction Hint at the Collector Pattern.mp42.42MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_17-Live Coding Session Sumry.mp41.58MB
  • MP403. ParallelDataProcessingPipelines Using Ja 8 Streams\\/03_18-Module Wrapup.mp43.03MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_01-Introduction and Agenda of the Module.mp41.77MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_02-Optional A First Explanation of the Concept.mp45.21MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_03-Patterns to Use an Optional as a Wrapper Type That Can Be Empty.mp43.27MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_04-Patterns to Build an Optional from Scratch.mp44.30MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_05-More Optional Patterns The p Filter and ifPresent Patterns.mp43.70MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_06-How We Can See an Optional as a Special Kind of Stream.mp4939.62KB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_07-Introduction to Advanced Optional Patterns The Newth Example.mp42.97MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_08-Building a First Data Processing Pipeline with the Newth Class.mp42.93MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_09-How Does the Optional.flatp Pattern Work.mp43.07MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_10-Leveraging the flatp Pattern to Convert an Optional to a Stream.mp47.40MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_11-Building a Parallel Data Processing Pipeline with Newth.mp42.28MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_12-Introduction to the Live Coding Session.mp4353.67KB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_13-Live Coding How Not to Process Doubles with Newth.mp47.51MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_14-Live Coding Failing to Go Parallel with the Wrong Pattern.mp48.24MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_15-Live Coding Building an Optional flatpper for NewMath.mp410.27MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_16-Live Coding Analyzing the Optional flatpper.mp44.86MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_17-Live Coding Parallel Stream with the Optional flatpper.mp410.85MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_18-Live Coding Session Sumry.mp41.93MB
  • MP404. BuildingErrorlessProcessing Pipelines with Optionals\\/04_19-Module Wrapup.mp42.98MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_01-Introduction and Agenda of the Module.mp42.29MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_02-What Is a Collector A Look Back at the Reduction Step.mp41.27MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_03-A First Antipattern to Reduce a Stream in a List.mp43.07MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_04-Reduction in a List The Right Pattern with a Collector.mp41.62MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_05-The Collectors Class We He a Collector for That.mp43.32MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_06-Computing a x and an erage with a Collector.mp42.11MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_07-Building Strings with a Collector.mp41.01MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_08-Collecting Data in a Set.mp41.61MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_09-Collecting in a p The partiionningBy and groupingBy Patterns.mp43.72MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_10-Adding a Downstream Collector to Process p Values.mp42.74MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_11-Specifying Built Containers the collectingAndThen Pattern.mp45.02MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_12-Live Coding Introducing the Shakespeare Plays Scrabble Use Case.mp48.09MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_13-Live Coding Building Histograms to Extract the Best Words.mp415.19MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_14-Live Coding Writing Whizzing with a Blank Letter.mp46.51MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_15-Live Coding Computing the Histogram of the Letters of a Word.mp49.42MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_16-Live Coding Computing the Number of Blanks Need for Whizzing.mp415.14MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_17-Live Coding Computing the Score of Words with Blank Letters.mp411.89MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_18-Live Coding Computing the Best Words with Blanks.mp46.65MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_19-Live Coding Session Sumry.mp42.29MB
  • MP405. Collecting Data in Complex Containers Using Collectors\\/05_20-Module Wrapup.mp44.60MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_01-Introduction and Agenda of the Module.mp42.16MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_02-What if We Need Collectors that Are Not in the Collectors Class.mp41.47MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_03-Collectors de of a Supplier an Accumulator and a Combiner.mp43.01MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_04-Example of a Supplier and Accumulator for an ArrayList.mp42.19MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_05-Example of a Combiner for an ArrayList.mp42.47MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_06-Putting it All Together The Collector.of Pattern.mp43.09MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_07-Live Coding Presenting the Actors and Movies Use Case.mp410.17MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_08-Live Coding Counting the Number of Actors.mp47.47MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_09-Live Coding Finding the Actor That Played in the Most Movies.mp414.50MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_10-Live Coding Adding the Year Constraint Introduction.mp46.60MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_11-Live Coding Setting the Custom Downstream Collector.mp43.18MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_12-Live Coding Writing the Supplier for the Custom Collector.mp44.85MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_13-Live Coding Writing the Accumulator.mp48.71MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_14-Live Coding Writing the Combiner by Merging ps.mp49.62MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_15-Live Coding Taking a Global Look at the Custom Collector.mp47.79MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_16-Live Coding Extracting the x of the Submap.mp411.94MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_17-Live Coding Extracting the x of the Main Map.mp46.93MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_18-Live Coding Session Sumry.mp42.87MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_19-Other Custom Collectors The sumryStatistics Pattern.mp43.29MB
  • MP406. Building Custom Collectors for Advanced Data Processing\\/06_20-Module Wrapup.mp43.31MB
  • ZIPExercise files\\/ja8dataprocessingstreamscollectorsoptionals.zip4.33MB
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