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An introduction of Ruby on Rails for non-programmers.
Ruby on rails intro
Ruby on rails intro
Ming-hsuan Chang
brief introduction on groovy and gradle
Groovy to gradle
Groovy to gradle
Geng-Dian Huang
Bdd and dsl как способ построения коммуникации на проекте
Bdd and dsl как способ построения коммуникации на проекте
ISsoft
Презентация Антона Семенченко на конференции Analyst Days-3, 24 мая 2014, Москва www.analystdays.com
BDD or DSL как способ построения коммуникации на проекте - опыт комплексного ...
BDD or DSL как способ построения коммуникации на проекте - опыт комплексного ...
SQALab
External or internal domain-specific languages (DSLs) or (fluent) APIs? Whoever you are – a developer or a user of a DSL – you usually have to choose side; you should not! What about metamorphic DSLs that change their shape according to your needs? Our 4-years journey of providing the "right" support (in the domain of feature modeling), led us to develop an external DSL, different shapes of an internal API, and maintain all these languages. A key insight is that there is no one-size-fits- all solution or no clear superiority of a solution compared to another. On the contrary, we found that it does make sense to continue the maintenance of an external and internal DSL. Based on our experience and on an analysis of the DSL engineering field, the vision that we foresee for the future of software languages is their ability to be self-adaptable to the most appropriate shape (including the corresponding integrated development environment) according to a particular usage or task. We call metamorphic DSL such a language, able to change from one shape to another shape. The talk has been presented at SPLASH conference in Portland (USA), Onward! Essays track. Paper is here: https://hal.archives-ouvertes.fr/hal-01061576/fr
Metamorphic Domain-Specific Languages
Metamorphic Domain-Specific Languages
University of Rennes, INSA Rennes, Inria/IRISA, CNRS
DSLs or Domain Specific Languages focus on a domain or a particular problem. They serve as an effective human-machine interaction tool as they're highly expressive. Their scope is fairly focused and that keeps them simple and small from the user's point of view. However, designing and implementing DSLs is not easy. Typically this involves steep learning curve and difficult parsing techniques. This is where Groovy comes in. You can take advantage of the flexible syntax of Groovy and it's metaprogramming capability to create what are called internal DSLs, that is, DSLs hosted using a higher level language. In this fast paced highly interactive presentation you will start out learning the characteristics and types of DSLs. Then you will learn about the challenges in designing DSLs and deep dive into Groovy features that can ease the pain of implementing DSLs. Then, using some live coding, Venkat will show you how to create and implement internal DSLs using Groovy. Along the way you'll learn some tricks to facilitate desirable syntax for your DSL.
Building DSLs: Marriage of High Essence and Groovy Metaprogramming
Building DSLs: Marriage of High Essence and Groovy Metaprogramming
Skills Matter
Xbase: Implementing Specific Domain language for JAVA DSLs implemented with Xtext and similar tools focus on structural aspects such as service specifications and entities. This approach introduces complex integration patterns and the DSL’s high level of abstraction is compromised. We present Xbase as part of Xtext, an expression language. Xbase expressions provide both control structures and program expressions in a uniform way. Xbase is statically typed and tightly integrated with the Java type system.
Xbase implementing specific domain language for java
Xbase implementing specific domain language for java
Yash Patel
Agile DSL Development in Ruby
Agile DSL Development in Ruby
elliando dias
Recommandé
An introduction of Ruby on Rails for non-programmers.
Ruby on rails intro
Ruby on rails intro
Ming-hsuan Chang
brief introduction on groovy and gradle
Groovy to gradle
Groovy to gradle
Geng-Dian Huang
Bdd and dsl как способ построения коммуникации на проекте
Bdd and dsl как способ построения коммуникации на проекте
ISsoft
Презентация Антона Семенченко на конференции Analyst Days-3, 24 мая 2014, Москва www.analystdays.com
BDD or DSL как способ построения коммуникации на проекте - опыт комплексного ...
BDD or DSL как способ построения коммуникации на проекте - опыт комплексного ...
SQALab
External or internal domain-specific languages (DSLs) or (fluent) APIs? Whoever you are – a developer or a user of a DSL – you usually have to choose side; you should not! What about metamorphic DSLs that change their shape according to your needs? Our 4-years journey of providing the "right" support (in the domain of feature modeling), led us to develop an external DSL, different shapes of an internal API, and maintain all these languages. A key insight is that there is no one-size-fits- all solution or no clear superiority of a solution compared to another. On the contrary, we found that it does make sense to continue the maintenance of an external and internal DSL. Based on our experience and on an analysis of the DSL engineering field, the vision that we foresee for the future of software languages is their ability to be self-adaptable to the most appropriate shape (including the corresponding integrated development environment) according to a particular usage or task. We call metamorphic DSL such a language, able to change from one shape to another shape. The talk has been presented at SPLASH conference in Portland (USA), Onward! Essays track. Paper is here: https://hal.archives-ouvertes.fr/hal-01061576/fr
Metamorphic Domain-Specific Languages
Metamorphic Domain-Specific Languages
University of Rennes, INSA Rennes, Inria/IRISA, CNRS
DSLs or Domain Specific Languages focus on a domain or a particular problem. They serve as an effective human-machine interaction tool as they're highly expressive. Their scope is fairly focused and that keeps them simple and small from the user's point of view. However, designing and implementing DSLs is not easy. Typically this involves steep learning curve and difficult parsing techniques. This is where Groovy comes in. You can take advantage of the flexible syntax of Groovy and it's metaprogramming capability to create what are called internal DSLs, that is, DSLs hosted using a higher level language. In this fast paced highly interactive presentation you will start out learning the characteristics and types of DSLs. Then you will learn about the challenges in designing DSLs and deep dive into Groovy features that can ease the pain of implementing DSLs. Then, using some live coding, Venkat will show you how to create and implement internal DSLs using Groovy. Along the way you'll learn some tricks to facilitate desirable syntax for your DSL.
Building DSLs: Marriage of High Essence and Groovy Metaprogramming
Building DSLs: Marriage of High Essence and Groovy Metaprogramming
Skills Matter
Xbase: Implementing Specific Domain language for JAVA DSLs implemented with Xtext and similar tools focus on structural aspects such as service specifications and entities. This approach introduces complex integration patterns and the DSL’s high level of abstraction is compromised. We present Xbase as part of Xtext, an expression language. Xbase expressions provide both control structures and program expressions in a uniform way. Xbase is statically typed and tightly integrated with the Java type system.
Xbase implementing specific domain language for java
Xbase implementing specific domain language for java
Yash Patel
Agile DSL Development in Ruby
Agile DSL Development in Ruby
elliando dias
A domain-specific language (DSL) is a computer language specialized to a particular application domain.
Groovy DSL
Groovy DSL
NexThoughts Technologies
Simplicity, ease of use, clean syntax and clear semantics are the characteristics of a good DSL that enable the users to focus on the problem. It is non-trivial to define, develop and maintain a DSL, especially using traditional compiler techniques. The Ruby programming language solves this issue to a certain extent. Topics Covered * Fundamentals of DSLs. * Introduction of Ruby features for writing DSLs. * Writing a DSL - The speakers' experience, with examples. * Challenges and Issues. Speaker Profiles: Harshal Hayatnagarkar is a researcher at Tata Research Development and Design Centre, Pune (a division of TCS) with many years of experience in writing large-scale trading systems, DSLs and high performance machine learning systems. Currently he is writing a DSL for information visualization using Ruby. Rohan Kini: is a Senior Developer at ThoughtWorks. He has been working with Ruby since 2005 on one of the earliest Ruby projects in India. He specializes in development of large-scale, web-based applications and scripting languages.
DSL Construction rith Ruby
DSL Construction rith Ruby
ThoughtWorks
Rust lang introduction for the Baksia meetup
Rust baksia2014
Rust baksia2014
Reidar Sollid
Domain Specific Languages
Domain Specific Languages
elliando dias
Domänenspezifische Sprachen (engl. DSLs) sind seit jeher dazu geeignet, komplexe Ausdrücke kompakter und besser lesbar auszudrücken. Dabei befreien sie den Benutzer von der Notwendigkeit, wiederkehrende Programmfragmente zu pflegen. Sie reduzieren den Blick auf den wesentlichen Inhalt der zugrunde liegenden Domäne. Während es an sinnvollen Anwendungsgebieten von DSLs nicht mangelt, sind deren Funktionsweise und Erstellung oftmals zu Unrecht als Mysterium verschrieen. Domänenspezifische Sprachen unterteilen sich grundsätzlich in externe und interne DSLs. Externe DSLs definieren eine unabhängige eigene Sprache, z. B. Xtend oder SQL. Daher bedarf es zu deren Ausführung einer eigenständigen Syntaxanalyse, -validierung und eines Compilers oder Interpreters. Interne DSLs basieren auf Host-Programmiersprachen. Daher ist ihr Sprachumfang nicht abgeschlossen, sondern lässt sich durch deren Sprachelemente erweitern. Kotlin bietet mit Extension Functions und Lambdas with Receivers ideale Voraussetzungen für die Erstellung interner DSLs. Dies zeigt auch ein Blick auf die ständig wachsende Zahl von Kotlin-basierten DSLs, wie z. B. der Kotlin Gradle DSL oder der Spring Beans DSL. In diesem Vortrag sollen die Grundlagen zur Erstellung eigener DSLs mit Kotlin vermittelt werden. Anhand eines praxisorientierten Beispiels wird schrittweise eine DSL während des Vortrags erstellt.
Sprache als Werkzeug: DSLs mit Kotlin (JAX 2020)
Sprache als Werkzeug: DSLs mit Kotlin (JAX 2020)
Frank Scheffler
Cucumber
Cucumber
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An introductions to Ruby ecosystem: Ruby Implementations(MRI, Rubinius, Jruby) Interpreters(irb, pry), Version Managers(rbenv, RVM), Package Manager(RubyGems), Bundler, Rake, Web Frameworks(Ruby on Rails, Sinatra), Mobile Development(IronRuby, RubyMotion, Ruboto), Application Servers(Phusion Passenger, Unicorn, Puma), Deployment Automation(Capristano, Chef), Continuos Integration(Semaphorem Jenkins), Tests(TestUnit, minitest, RSpec, Capybara, Cucumber), Security Analiser(Brakeman).
An introduction to the ruby ecosystem
An introduction to the ruby ecosystem
Geison Goes
Opening keynote of Scala Days 2018, Berlin
Preparing for Scala 3
Preparing for Scala 3
Martin Odersky
Venkat Subramaniam Building DSLs In Groovy
Venkat Subramaniam Building DSLs In Groovy
deimos
Part 2/3 of our Devoxx University session. A discussion of functional programming and polyglot programming on the JVM for the Java developer!
Polyglot and functional (Devoxx Nov/2011)
Polyglot and functional (Devoxx Nov/2011)
Martijn Verburg
A Survey on Domain-Specific Languages for Machine.pdf A Survey on Domain-Specific Languages for Machine Learning August 3, 2017 CISC 603-50- R-2017/Summer - Theory of Computation Student: Dileep Sharma Instructor: Majid Shaalan Contents 1 Statement 2 2 Abstract 2 3 Introduction 2 3.1 Big Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 3.2 Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 3.3 Domain Specific Language . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 4 DSL Feature Model 4 4.1 Language Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 4.2 Transformation Feature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 4.3 DSL Tool Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 4.4 DSL Process Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 5 Languages Surveyed 9 5.1 OptiML . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 5.2 ScalOps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 5.3 Scala . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 5.4 PIG LATIN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 5.5 Breukervl . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 5.6 Possibility of survey of other language . . . . . . . . . . . . . . . . . . . . . 11 5.7 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 6 Reference 12 1 1 Statement The purpose of this paper is to identify, describe and design Domain Specific Language( DSL ) applicable to Machine learning world in big data space, that can make process more faster and efficient. 2 Abstract In last couple of decades, the data we have at our disposal have increased tremendously because of technology advance. This technology advance has helped us in capturing, storing, analogizing and visualizing data and that has lead to big data. We need better algorithm to read and analyze these big and complex diastases. Machine Learning is turning out to be the most effective way of analyzing these datasets and predicting future behavior. To better analyze these datasets with Machine Learning we need enhanced computational power, that can be obtained using parallel processing using GPUs. Machine Learning algorithms needs to be adapted and optimized to specific applications. However, programming these devices to run efficiently and correctly is difficult, error-prone, and results in software that is harder to read and maintain. This paper is primarily concern about Domain Specific language that can help us in writing Machine Algorithms in efficient way to analyze Big Data. 3 Introduction Technological advance in recent past has caused a data revolution. This high volume of data is called big data.Every second, sm.
A Survey on Domain-Specific Languages for Machine.pdfA Sur.docx
A Survey on Domain-Specific Languages for Machine.pdfA Sur.docx
bartholomeocoombs
This is the first module of an in depth training session that I do. This session covers Ruby, basic Rails and much more.
Ruby on Rails Training - Module 1
Ruby on Rails Training - Module 1
Mark Menard
Ruby language is an attractive choice for constructing internal domain-specific languages. Living true to the quote of Bjarne Stroustrup "Library Design is Language Design, and Library Design is Language Design", a good design in Ruby can be warped into a good DSL without much efforts.
DSL Construction with Ruby - ThoughtWorks Masterclass Series 2009
DSL Construction with Ruby - ThoughtWorks Masterclass Series 2009
Harshal Hayatnagarkar
Migrate Gradle Skript from Groovy to Kotlin DSL Presentation
Log cat kotlindsl
Log cat kotlindsl
sanaebadi1
Design Patterns and methodologies for implementing DSL.
Domain Specific Languages
Domain Specific Languages
Lakshan Perera
https://cfp.devoxx.be/2017/talk/ZJX-1883/From_Brown_Field_to_Green_Field When you're rewriting an application to a new modularised & microserviced environment with several Bounded Context's and Unicorns flying around dancing and singing out loud. Then there are several approaches to migrate or synchronise the data from the dirty, old brown legacy system to your new state of the art solution. I'll present several scenario's each with their pro's and con's.
Devoxx: From-brown-field-to-green-field
Devoxx: From-brown-field-to-green-field
stijn vanpoucke
The paper supporting my talk at OUGN on April 14 2010.
Ruby on Rails (RoR) as a back-end processor for Apex
Ruby on Rails (RoR) as a back-end processor for Apex
Espen Brækken
Reason for the Subject Language Design Trade-Offs Language Evaluation Criteria Programming Environments Language Categories Future Course Outline
PL Lecture 01 - preliminaries
PL Lecture 01 - preliminaries
Schwannden Kuo
asdfvgbvcxsza
An introduction to_programming_with_c__threads 2005
An introduction to_programming_with_c__threads 2005
mohammad shayestehfar
Tom Flaherty at Ignite night at the Denver Open Source Users Group
Principles Of Programing Languages
Principles Of Programing Languages
Matthew McCullough
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TECUNIQUE: Success Stories: IT Service provider
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Similaire à Metaprogramming patterns
A domain-specific language (DSL) is a computer language specialized to a particular application domain.
Groovy DSL
Groovy DSL
NexThoughts Technologies
Simplicity, ease of use, clean syntax and clear semantics are the characteristics of a good DSL that enable the users to focus on the problem. It is non-trivial to define, develop and maintain a DSL, especially using traditional compiler techniques. The Ruby programming language solves this issue to a certain extent. Topics Covered * Fundamentals of DSLs. * Introduction of Ruby features for writing DSLs. * Writing a DSL - The speakers' experience, with examples. * Challenges and Issues. Speaker Profiles: Harshal Hayatnagarkar is a researcher at Tata Research Development and Design Centre, Pune (a division of TCS) with many years of experience in writing large-scale trading systems, DSLs and high performance machine learning systems. Currently he is writing a DSL for information visualization using Ruby. Rohan Kini: is a Senior Developer at ThoughtWorks. He has been working with Ruby since 2005 on one of the earliest Ruby projects in India. He specializes in development of large-scale, web-based applications and scripting languages.
DSL Construction rith Ruby
DSL Construction rith Ruby
ThoughtWorks
Rust lang introduction for the Baksia meetup
Rust baksia2014
Rust baksia2014
Reidar Sollid
Domain Specific Languages
Domain Specific Languages
elliando dias
Domänenspezifische Sprachen (engl. DSLs) sind seit jeher dazu geeignet, komplexe Ausdrücke kompakter und besser lesbar auszudrücken. Dabei befreien sie den Benutzer von der Notwendigkeit, wiederkehrende Programmfragmente zu pflegen. Sie reduzieren den Blick auf den wesentlichen Inhalt der zugrunde liegenden Domäne. Während es an sinnvollen Anwendungsgebieten von DSLs nicht mangelt, sind deren Funktionsweise und Erstellung oftmals zu Unrecht als Mysterium verschrieen. Domänenspezifische Sprachen unterteilen sich grundsätzlich in externe und interne DSLs. Externe DSLs definieren eine unabhängige eigene Sprache, z. B. Xtend oder SQL. Daher bedarf es zu deren Ausführung einer eigenständigen Syntaxanalyse, -validierung und eines Compilers oder Interpreters. Interne DSLs basieren auf Host-Programmiersprachen. Daher ist ihr Sprachumfang nicht abgeschlossen, sondern lässt sich durch deren Sprachelemente erweitern. Kotlin bietet mit Extension Functions und Lambdas with Receivers ideale Voraussetzungen für die Erstellung interner DSLs. Dies zeigt auch ein Blick auf die ständig wachsende Zahl von Kotlin-basierten DSLs, wie z. B. der Kotlin Gradle DSL oder der Spring Beans DSL. In diesem Vortrag sollen die Grundlagen zur Erstellung eigener DSLs mit Kotlin vermittelt werden. Anhand eines praxisorientierten Beispiels wird schrittweise eine DSL während des Vortrags erstellt.
Sprache als Werkzeug: DSLs mit Kotlin (JAX 2020)
Sprache als Werkzeug: DSLs mit Kotlin (JAX 2020)
Frank Scheffler
Cucumber
Cucumber
Nagaraddi SS
An introductions to Ruby ecosystem: Ruby Implementations(MRI, Rubinius, Jruby) Interpreters(irb, pry), Version Managers(rbenv, RVM), Package Manager(RubyGems), Bundler, Rake, Web Frameworks(Ruby on Rails, Sinatra), Mobile Development(IronRuby, RubyMotion, Ruboto), Application Servers(Phusion Passenger, Unicorn, Puma), Deployment Automation(Capristano, Chef), Continuos Integration(Semaphorem Jenkins), Tests(TestUnit, minitest, RSpec, Capybara, Cucumber), Security Analiser(Brakeman).
An introduction to the ruby ecosystem
An introduction to the ruby ecosystem
Geison Goes
Opening keynote of Scala Days 2018, Berlin
Preparing for Scala 3
Preparing for Scala 3
Martin Odersky
Venkat Subramaniam Building DSLs In Groovy
Venkat Subramaniam Building DSLs In Groovy
deimos
Part 2/3 of our Devoxx University session. A discussion of functional programming and polyglot programming on the JVM for the Java developer!
Polyglot and functional (Devoxx Nov/2011)
Polyglot and functional (Devoxx Nov/2011)
Martijn Verburg
A Survey on Domain-Specific Languages for Machine.pdf A Survey on Domain-Specific Languages for Machine Learning August 3, 2017 CISC 603-50- R-2017/Summer - Theory of Computation Student: Dileep Sharma Instructor: Majid Shaalan Contents 1 Statement 2 2 Abstract 2 3 Introduction 2 3.1 Big Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 3.2 Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 3.3 Domain Specific Language . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 4 DSL Feature Model 4 4.1 Language Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 4.2 Transformation Feature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 4.3 DSL Tool Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 4.4 DSL Process Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 5 Languages Surveyed 9 5.1 OptiML . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 5.2 ScalOps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 5.3 Scala . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 5.4 PIG LATIN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 5.5 Breukervl . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 5.6 Possibility of survey of other language . . . . . . . . . . . . . . . . . . . . . 11 5.7 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 6 Reference 12 1 1 Statement The purpose of this paper is to identify, describe and design Domain Specific Language( DSL ) applicable to Machine learning world in big data space, that can make process more faster and efficient. 2 Abstract In last couple of decades, the data we have at our disposal have increased tremendously because of technology advance. This technology advance has helped us in capturing, storing, analogizing and visualizing data and that has lead to big data. We need better algorithm to read and analyze these big and complex diastases. Machine Learning is turning out to be the most effective way of analyzing these datasets and predicting future behavior. To better analyze these datasets with Machine Learning we need enhanced computational power, that can be obtained using parallel processing using GPUs. Machine Learning algorithms needs to be adapted and optimized to specific applications. However, programming these devices to run efficiently and correctly is difficult, error-prone, and results in software that is harder to read and maintain. This paper is primarily concern about Domain Specific language that can help us in writing Machine Algorithms in efficient way to analyze Big Data. 3 Introduction Technological advance in recent past has caused a data revolution. This high volume of data is called big data.Every second, sm.
A Survey on Domain-Specific Languages for Machine.pdfA Sur.docx
A Survey on Domain-Specific Languages for Machine.pdfA Sur.docx
bartholomeocoombs
This is the first module of an in depth training session that I do. This session covers Ruby, basic Rails and much more.
Ruby on Rails Training - Module 1
Ruby on Rails Training - Module 1
Mark Menard
Ruby language is an attractive choice for constructing internal domain-specific languages. Living true to the quote of Bjarne Stroustrup "Library Design is Language Design, and Library Design is Language Design", a good design in Ruby can be warped into a good DSL without much efforts.
DSL Construction with Ruby - ThoughtWorks Masterclass Series 2009
DSL Construction with Ruby - ThoughtWorks Masterclass Series 2009
Harshal Hayatnagarkar
Migrate Gradle Skript from Groovy to Kotlin DSL Presentation
Log cat kotlindsl
Log cat kotlindsl
sanaebadi1
Design Patterns and methodologies for implementing DSL.
Domain Specific Languages
Domain Specific Languages
Lakshan Perera
https://cfp.devoxx.be/2017/talk/ZJX-1883/From_Brown_Field_to_Green_Field When you're rewriting an application to a new modularised & microserviced environment with several Bounded Context's and Unicorns flying around dancing and singing out loud. Then there are several approaches to migrate or synchronise the data from the dirty, old brown legacy system to your new state of the art solution. I'll present several scenario's each with their pro's and con's.
Devoxx: From-brown-field-to-green-field
Devoxx: From-brown-field-to-green-field
stijn vanpoucke
The paper supporting my talk at OUGN on April 14 2010.
Ruby on Rails (RoR) as a back-end processor for Apex
Ruby on Rails (RoR) as a back-end processor for Apex
Espen Brækken
Reason for the Subject Language Design Trade-Offs Language Evaluation Criteria Programming Environments Language Categories Future Course Outline
PL Lecture 01 - preliminaries
PL Lecture 01 - preliminaries
Schwannden Kuo
asdfvgbvcxsza
An introduction to_programming_with_c__threads 2005
An introduction to_programming_with_c__threads 2005
mohammad shayestehfar
Tom Flaherty at Ignite night at the Denver Open Source Users Group
Principles Of Programing Languages
Principles Of Programing Languages
Matthew McCullough
Similaire à Metaprogramming patterns
(20)
Groovy DSL
Groovy DSL
DSL Construction rith Ruby
DSL Construction rith Ruby
Rust baksia2014
Rust baksia2014
Domain Specific Languages
Domain Specific Languages
Sprache als Werkzeug: DSLs mit Kotlin (JAX 2020)
Sprache als Werkzeug: DSLs mit Kotlin (JAX 2020)
Cucumber
Cucumber
An introduction to the ruby ecosystem
An introduction to the ruby ecosystem
Preparing for Scala 3
Preparing for Scala 3
Venkat Subramaniam Building DSLs In Groovy
Venkat Subramaniam Building DSLs In Groovy
Polyglot and functional (Devoxx Nov/2011)
Polyglot and functional (Devoxx Nov/2011)
A Survey on Domain-Specific Languages for Machine.pdfA Sur.docx
A Survey on Domain-Specific Languages for Machine.pdfA Sur.docx
Ruby on Rails Training - Module 1
Ruby on Rails Training - Module 1
DSL Construction with Ruby - ThoughtWorks Masterclass Series 2009
DSL Construction with Ruby - ThoughtWorks Masterclass Series 2009
Log cat kotlindsl
Log cat kotlindsl
Domain Specific Languages
Domain Specific Languages
Devoxx: From-brown-field-to-green-field
Devoxx: From-brown-field-to-green-field
Ruby on Rails (RoR) as a back-end processor for Apex
Ruby on Rails (RoR) as a back-end processor for Apex
PL Lecture 01 - preliminaries
PL Lecture 01 - preliminaries
An introduction to_programming_with_c__threads 2005
An introduction to_programming_with_c__threads 2005
Principles Of Programing Languages
Principles Of Programing Languages
Dernier
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AI & Machine Learning Presentation Template
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Presentation.STUDIO
Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Steffen Staab
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The subject of this deck is the small Print[A] program in the following blog post by Noel Welsh: https://www.inner-product.com/posts/direct-style-effects/. Keywords: "direct-style", "context function", "context functions", "algebraic effect", "algebraic effects", "scala", "effect system", "effect systems", "effect", "side effect", "composition", "fp", "functional programming"
Direct Style Effect Systems -The Print[A] Example- A Comprehension Aid
Direct Style Effect Systems -The Print[A] Example- A Comprehension Aid
Philip Schwarz
Dernier
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Direct Style Effect Systems -The Print[A] Example- A Comprehension Aid
Direct Style Effect Systems -The Print[A] Example- A Comprehension Aid
Metaprogramming patterns
1.
Popular Metaprogramming Patterns in Ruby Glenn
Espinosa
2.
Seeing Metaprogramming And
Lambda Function Patterns in Ruby By Lukas Nimmo
3.
“Ruby is beautiful
so our DSLs should be beautiful (yet extremely powerful)”
4.
Metaprogramming techniques for beautiful
DSLs • Configuration options • Situational language • Declarative DSLs • Flexible interfaces
5.
1. Configuration Options Goal:
Provide global config options for a library
6.
Solution: User can
specify config options and it will always configure the Singleton. Using a block makes configuration explicit. @gpespn
7.
2. Situational language Goal:
Offer situational language = Flexible interface that relies on the same implementation
8.
Solution: Alias methods
for singular & plural implementations, also consider synonyms (RSpec uses this a lot)
9.
3. Declarative DSL’s Goal:
Declarative DSL's for setting up classes in your domain with common functionality.
10.
11.
4. Flexible Interfaces Goal:
Allow many entries around the same structure. Reduce scoping for common functionality.
12.
13.
Reduce redundancy for your
users
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