SlideShare a Scribd company logo
1 of 8
Download to read offline
Higher Order Lab

  Richard Warburton
     Stuart Marks
   Maurice Naftalin
    Graham Allan
     John Oliver
Why are we here?

● Learn about lambda expressions and
  collections

● Feedback on the new API

● Have fun
What's on the USB Stick?
● OpenJDK binaries with lambda support
  ○ Windows
  ○ Mac
  ○ Linux


● Javadoc for the new API

● IDEs with Support
  ○ Idea
  ○ Netbeans
Expectations
● You have a laptop
  ○ or a friend with a laptop!


● You've been to a lambdas talk ...
  ○ "Lambdas and Collections in Java 8"
  ○ "Accelerated Lambda Programming"


● ... or you know the basics already
Who's Who
Instructors: put up your hands!
What should we focus on
● At first just write the basics

● Revamped collections methods
   ○ flatMap()
   ○ reduce()


● Collect Changes:
   ○ into(new ArrayList<>()) => collect(toList())
   ○ groupBy(classifier) => collect(groupingBy(classifier))
Exercise Ideas:
● Sort a list of strings alphabetically within
  length.
● Count number of words in a document
   ○ http://www.gutenberg.org
● Implement 'sum' and 'average' of command-
  line arguments
● Count word frequency in a document
   ○ maybe without loading the entire document into
     memory?
● Feedback @ bit.ly/14iINWi
● github.com/AdoptOpenJDK/Lambdas
Any Questions?
     Feedback @ bit.ly/14iINWi

github.com/AdoptOpenJDK/Lambdas

More Related Content

Similar to Devoxx uk lambdas hackday

Training Week: Build APIs with Neo4j GraphQL Library
Training Week: Build APIs with Neo4j GraphQL LibraryTraining Week: Build APIs with Neo4j GraphQL Library
Training Week: Build APIs with Neo4j GraphQL Library
Neo4j
 
Babar: Knowledge Recognition, Extraction and Representation
Babar: Knowledge Recognition, Extraction and RepresentationBabar: Knowledge Recognition, Extraction and Representation
Babar: Knowledge Recognition, Extraction and Representation
Pierre de Lacaze
 

Similar to Devoxx uk lambdas hackday (20)

SDEC2011 Mahout - the what, the how and the why
SDEC2011 Mahout - the what, the how and the whySDEC2011 Mahout - the what, the how and the why
SDEC2011 Mahout - the what, the how and the why
 
Create your library
Create your libraryCreate your library
Create your library
 
Wattpad - Spark Stories
Wattpad - Spark StoriesWattpad - Spark Stories
Wattpad - Spark Stories
 
Intellij IDEA Intro, Tips and Tricks
Intellij IDEA Intro, Tips and TricksIntellij IDEA Intro, Tips and Tricks
Intellij IDEA Intro, Tips and Tricks
 
MacGyver Learns Spark
MacGyver Learns SparkMacGyver Learns Spark
MacGyver Learns Spark
 
Training Week: GraphQL 2022
Training Week: GraphQL 2022Training Week: GraphQL 2022
Training Week: GraphQL 2022
 
Training Week: Build APIs with Neo4j GraphQL Library
Training Week: Build APIs with Neo4j GraphQL LibraryTraining Week: Build APIs with Neo4j GraphQL Library
Training Week: Build APIs with Neo4j GraphQL Library
 
How to get started in Big Data for master's students
How to get started in Big Data for master's studentsHow to get started in Big Data for master's students
How to get started in Big Data for master's students
 
Python for PHP developers
Python for PHP developersPython for PHP developers
Python for PHP developers
 
No sql database and python -- Presentation done at Python Developer's meetup ...
No sql database and python -- Presentation done at Python Developer's meetup ...No sql database and python -- Presentation done at Python Developer's meetup ...
No sql database and python -- Presentation done at Python Developer's meetup ...
 
Scientific computing on jruby
Scientific computing on jrubyScientific computing on jruby
Scientific computing on jruby
 
24 uses for perl6
24 uses for perl624 uses for perl6
24 uses for perl6
 
Marco Liberati - Graph analytics
Marco Liberati - Graph analyticsMarco Liberati - Graph analytics
Marco Liberati - Graph analytics
 
GraphQL ♥︎ GraphDB
GraphQL ♥︎ GraphDBGraphQL ♥︎ GraphDB
GraphQL ♥︎ GraphDB
 
Babar: Knowledge Recognition, Extraction and Representation
Babar: Knowledge Recognition, Extraction and RepresentationBabar: Knowledge Recognition, Extraction and Representation
Babar: Knowledge Recognition, Extraction and Representation
 
FlinkML - Big data application meetup
FlinkML - Big data application meetupFlinkML - Big data application meetup
FlinkML - Big data application meetup
 
TinkerPop 2020
TinkerPop 2020TinkerPop 2020
TinkerPop 2020
 
Paris.py
Paris.pyParis.py
Paris.py
 
A Workload-Aware Middleware for Storing Massive RDF Graphs into NoSQL Databases
A Workload-Aware Middleware for Storing Massive RDF Graphs into NoSQL DatabasesA Workload-Aware Middleware for Storing Massive RDF Graphs into NoSQL Databases
A Workload-Aware Middleware for Storing Massive RDF Graphs into NoSQL Databases
 
Coding dojo
Coding dojoCoding dojo
Coding dojo
 

More from RichardWarburton

More from RichardWarburton (20)

Fantastic performance and where to find it
Fantastic performance and where to find itFantastic performance and where to find it
Fantastic performance and where to find it
 
Production profiling what, why and how technical audience (3)
Production profiling  what, why and how   technical audience (3)Production profiling  what, why and how   technical audience (3)
Production profiling what, why and how technical audience (3)
 
Production profiling: What, Why and How
Production profiling: What, Why and HowProduction profiling: What, Why and How
Production profiling: What, Why and How
 
Production profiling what, why and how (JBCN Edition)
Production profiling  what, why and how (JBCN Edition)Production profiling  what, why and how (JBCN Edition)
Production profiling what, why and how (JBCN Edition)
 
Production Profiling: What, Why and How
Production Profiling: What, Why and HowProduction Profiling: What, Why and How
Production Profiling: What, Why and How
 
Java collections the force awakens
Java collections  the force awakensJava collections  the force awakens
Java collections the force awakens
 
Generics Past, Present and Future (Latest)
Generics Past, Present and Future (Latest)Generics Past, Present and Future (Latest)
Generics Past, Present and Future (Latest)
 
Collections forceawakens
Collections forceawakensCollections forceawakens
Collections forceawakens
 
Generics Past, Present and Future
Generics Past, Present and FutureGenerics Past, Present and Future
Generics Past, Present and Future
 
Pragmatic functional refactoring with java 8 (1)
Pragmatic functional refactoring with java 8 (1)Pragmatic functional refactoring with java 8 (1)
Pragmatic functional refactoring with java 8 (1)
 
Performance and predictability
Performance and predictabilityPerformance and predictability
Performance and predictability
 
Twins: Object Oriented Programming and Functional Programming
Twins: Object Oriented Programming and Functional ProgrammingTwins: Object Oriented Programming and Functional Programming
Twins: Object Oriented Programming and Functional Programming
 
Pragmatic functional refactoring with java 8
Pragmatic functional refactoring with java 8Pragmatic functional refactoring with java 8
Pragmatic functional refactoring with java 8
 
Introduction to lambda behave
Introduction to lambda behaveIntroduction to lambda behave
Introduction to lambda behave
 
Introduction to lambda behave
Introduction to lambda behaveIntroduction to lambda behave
Introduction to lambda behave
 
Performance and predictability
Performance and predictabilityPerformance and predictability
Performance and predictability
 
Simplifying java with lambdas (short)
Simplifying java with lambdas (short)Simplifying java with lambdas (short)
Simplifying java with lambdas (short)
 
Twins: OOP and FP
Twins: OOP and FPTwins: OOP and FP
Twins: OOP and FP
 
Twins: OOP and FP
Twins: OOP and FPTwins: OOP and FP
Twins: OOP and FP
 
Lambdas myths-and-mistakes
Lambdas myths-and-mistakesLambdas myths-and-mistakes
Lambdas myths-and-mistakes
 

Recently uploaded

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 

Devoxx uk lambdas hackday

  • 1. Higher Order Lab Richard Warburton Stuart Marks Maurice Naftalin Graham Allan John Oliver
  • 2. Why are we here? ● Learn about lambda expressions and collections ● Feedback on the new API ● Have fun
  • 3. What's on the USB Stick? ● OpenJDK binaries with lambda support ○ Windows ○ Mac ○ Linux ● Javadoc for the new API ● IDEs with Support ○ Idea ○ Netbeans
  • 4. Expectations ● You have a laptop ○ or a friend with a laptop! ● You've been to a lambdas talk ... ○ "Lambdas and Collections in Java 8" ○ "Accelerated Lambda Programming" ● ... or you know the basics already
  • 5. Who's Who Instructors: put up your hands!
  • 6. What should we focus on ● At first just write the basics ● Revamped collections methods ○ flatMap() ○ reduce() ● Collect Changes: ○ into(new ArrayList<>()) => collect(toList()) ○ groupBy(classifier) => collect(groupingBy(classifier))
  • 7. Exercise Ideas: ● Sort a list of strings alphabetically within length. ● Count number of words in a document ○ http://www.gutenberg.org ● Implement 'sum' and 'average' of command- line arguments ● Count word frequency in a document ○ maybe without loading the entire document into memory? ● Feedback @ bit.ly/14iINWi ● github.com/AdoptOpenJDK/Lambdas
  • 8. Any Questions? Feedback @ bit.ly/14iINWi github.com/AdoptOpenJDK/Lambdas