Skip to content

Pluralsight - Streams, Collectors, and Optionals for Data Processing in Java 8

Unverified source. This magnet is from an unverified source. The content may be unsafe or mislabeled. Proceed with caution.
Title: PluralsightGroup: NOGRPSource: Pluralsight
Info Hash
9C7A07F819E28617B4823C0E3881D913C27ACA1E
Source
Unverified
Total Size
582.7 MB
Total Files
100
Seeders
1
Leechers
0
Health
1.00
Score
2
Type
Bookware

File List

FileSize
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_01-Introduction to the Course.mp43.19 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_02-What Are You Going to Learn in This Course.mp43.59 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_03-What Should You Know to Follow This Course Agenda of This Module.mp43.35 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_04-What Is a Spliterator.mp46.09 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_05-The Spliterator Interface, What Do We Need to Implement.mp46.72 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_06-The ArrayListSpliterator the tryAdvance Method.mp44.01 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_07-The ArrayListSpliterator the trySplit Method.mp44.46 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_08-Introduction to the Live Coding How to Write a Spliterator.mp44.02 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_09-Using Our Own Spliterator Setting up the Application.mp45.42 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_10-Using Our Own Spliterator Writing the Use Case Pattern.mp45.9 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_11-Implementing Our Own Spliterator The First Methods.mp49.5 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_12-Implementing Our Own Spliterator The tryAdvance Method.mp411.24 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_13-Implementing the tryAdvance Method Setting the Returned Object.mp45.77 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_14-Implementing Our Own Spliterator Running the Example.mp43.76 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_15-Live Coding Session Wrapup.mp41.36 MB
01. Connecting Streams toCustom SourcesThe SpliteratorPattern/01_16-Module Wrapup.mp41.73 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_01-Introduction and Agenda of the module.mp41.98 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_02-Concatenating Streams The Stream.concat Pattern.mp44.62 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_03-Merging Streams The Stream.of and flatMap Pattern.mp43.8 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_04-How Does the flatMap Pattern Work Examples.mp42.99 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_05-Splitting a Text into Words Using the flatMap Pattern.mp45.76 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_06-Splitting a Text into Words Putting the Result in a Set.mp43.36 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_07-State of a Stream The Stream.characteristics Method.mp44.92 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_08-What Are the Eight Characteristics of a Stream.mp43.96 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_09-How Does the Steam Methods Modify the State of a Stream.mp44.14 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_10-State of a Stream A First Example.mp42.82 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_11-How to Use the Stream.sorted Method with a Comparator.mp41.33 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_12-Live Coding Session Presentation of the Example.mp45.19 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_13-Live Coding Merging Streams Using Stream.of and flatMap.mp410.03 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_14-Live Coding Splitting a Large Text in Words Using flatMap.mp410.82 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_15-Live Coding Session Summary.mp41.05 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_16-Streams of Numbers Converting from a Stream of Objects.mp43.24 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_17-Optimizing the Conversion from a Stream of Objects.mp43.1 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_18-Patterns to Build Streams of Numbers.mp42.55 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_19-Specialized Methods min, max and summaryStatistics.mp45.13 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_20-Live Coding Session Introduction of the Scrabble Example.mp45.33 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_21-Live Coding Computing the Score of a Word in Scrabble.mp410.56 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_22-Live Coding Getting the Word with the Best Score.mp410.84 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_23-Live Coding Computing Statistics on the Words of Shakespeare.mp46.13 MB
02. Advanced Java 8 Stream Patterns FlatMap, Streams of Numbers/02_24-Live Coding Session and Module Wrapup.mp43.15 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_01-Introduction and Agenda of the Module.mp41.84 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_02-Building Parallel Processing on Multithread.mp44.11 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_03-Tools for Parallel Processing in the JDK.mp44.23 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_04-Parallel Streams First Patterns.mp43.46 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_05-Caveats in Parallel Processing Synchronization and Visibility.mp42.43 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_06-Stateful and Stateless Operations The Limit Method Example.mp45.77 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_07-How to Tell a Stateless Operation from a Stateful One.mp41.35 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_08-Parallel Performance Analysis Description of the Use Case.mp45.56 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_09-Parallel Performance Analysis Understanding the Computing Times.mp43.21 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_10-A Sneaky Stateful Operation The unordered Method.mp44.11 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_11-Parallel Reduction What Not to Do.mp46.26 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_12-Tuning Parallelism Setting the Size of the Common Fork Join Pool.mp42.88 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_13-Tuning Parallelism Setting the Executor of a Computation.mp44.02 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_14-Live Coding Understanding the Multithreaded Computation.mp48.93 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_15-Live Coding Parallel Reduction, How Can It Go Wrong.mp48.3 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_16-Live Coding Parallel Reduction, Hint at the Collector Pattern.mp42.42 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_17-Live Coding Session Summary.mp41.58 MB
03. ParallelDataProcessingPipelines Using Java 8 Streams/03_18-Module Wrapup.mp43.03 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_01-Introduction and Agenda of the Module.mp41.77 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_02-Optional A First Explanation of the Concept.mp45.21 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_03-Patterns to Use an Optional as a Wrapper Type That Can Be Empty.mp43.27 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_04-Patterns to Build an Optional from Scratch.mp44.3 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_05-More Optional Patterns The Map, Filter and ifPresent Patterns.mp43.7 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_06-How We Can See an Optional as a Special Kind of Stream.mp4939.62 KB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_07-Introduction to Advanced Optional Patterns The NewMath Example.mp42.97 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_08-Building a First Data Processing Pipeline with the NewMath Class.mp42.93 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_09-How Does the Optional.flatMap Pattern Work.mp43.07 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_10-Leveraging the flatMap Pattern to Convert an Optional to a Stream.mp47.4 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_11-Building a Parallel Data Processing Pipeline with NewMath.mp42.28 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_12-Introduction to the Live Coding Session.mp4353.67 KB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_13-Live Coding How Not to Process Doubles with NewMath.mp47.51 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_14-Live Coding Failing to Go Parallel with the Wrong Pattern.mp48.24 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_15-Live Coding Building an Optional flatMapper for NewMath.mp410.27 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_16-Live Coding Analyzing the Optional flatMapper.mp44.86 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_17-Live Coding Parallel Stream with the Optional flatMapper.mp410.85 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_18-Live Coding Session Summary.mp41.93 MB
04. BuildingErrorlessProcessing Pipelines with Optionals/04_19-Module Wrapup.mp42.98 MB
05. Collecting Data in Complex Containers Using Collectors/05_01-Introduction and Agenda of the Module.mp42.29 MB
05. Collecting Data in Complex Containers Using Collectors/05_02-What Is a Collector A Look Back at the Reduction Step.mp41.27 MB
05. Collecting Data in Complex Containers Using Collectors/05_03-A First Antipattern to Reduce a Stream in a List.mp43.07 MB
05. Collecting Data in Complex Containers Using Collectors/05_04-Reduction in a List The Right Pattern with a Collector.mp41.62 MB
05. Collecting Data in Complex Containers Using Collectors/05_05-The Collectors Class We Have a Collector for That.mp43.32 MB
05. Collecting Data in Complex Containers Using Collectors/05_06-Computing a Max and an Average with a Collector.mp42.11 MB
05. Collecting Data in Complex Containers Using Collectors/05_07-Building Strings with a Collector.mp41.01 MB
05. Collecting Data in Complex Containers Using Collectors/05_08-Collecting Data in a Set.mp41.61 MB
05. Collecting Data in Complex Containers Using Collectors/05_09-Collecting in a Map The partiionningBy and groupingBy Patterns.mp43.72 MB
05. Collecting Data in Complex Containers Using Collectors/05_10-Adding a Downstream Collector to Process Map Values.mp42.74 MB
05. Collecting Data in Complex Containers Using Collectors/05_11-Specifying Built Containers, the collectingAndThen Pattern.mp45.02 MB
05. Collecting Data in Complex Containers Using Collectors/05_12-Live Coding Introducing the Shakespeare Plays Scrabble Use Case.mp48.09 MB
05. Collecting Data in Complex Containers Using Collectors/05_13-Live Coding Building Histograms to Extract the Best Words.mp415.19 MB
05. Collecting Data in Complex Containers Using Collectors/05_14-Live Coding Writing Whizzing with a Blank Letter.mp46.51 MB
05. Collecting Data in Complex Containers Using Collectors/05_15-Live Coding Computing the Histogram of the Letters of a Word.mp49.42 MB
05. Collecting Data in Complex Containers Using Collectors/05_16-Live Coding Computing the Number of Blanks Need for Whizzing.mp415.14 MB
05. Collecting Data in Complex Containers Using Collectors/05_17-Live Coding Computing the Score of Words with Blank Letters.mp411.89 MB
05. Collecting Data in Complex Containers Using Collectors/05_18-Live Coding Computing the Best Words with Blanks.mp46.65 MB
05. Collecting Data in Complex Containers Using Collectors/05_19-Live Coding Session Summary.mp42.29 MB
05. Collecting Data in Complex Containers Using Collectors/05_20-Module Wrapup.mp44.6 MB
06. Building Custom Collectors for Advanced Data Processing/06_01-Introduction and Agenda of the Module.mp42.16 MB
06. Building Custom Collectors for Advanced Data Processing/06_02-What if We Need Collectors that Are Not in the Collectors Class.mp41.47 MB
06. Building Custom Collectors for Advanced Data Processing/06_03-Collectors Made of a Supplier, an Accumulator, and a Combiner.mp43.01 MB

Trackers

No trackers found.