Ceylon SDK by Stéphane Épardaud
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The document summarizes the Ceylon SDK modules. It describes that the SDK is progressing rapidly with most modules mature. It then provides brief descriptions of the purpose and status of each module including ceylon.build, ceylon.collection, ceylon.dbc, ceylon.file, ceylon.html, ceylon.interop.java, ceylon.io, ceylon.json, ceylon.math, ceylon.net, ceylon.process, ceylon.test, ceylon.time, and ceylon.unicode. It concludes by mentioning upcoming modules for ceylon.transaction, ceylon.locale,
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Abstrakt:
Ceylon is a new programming language designed for writing large programs in teams. The language emphasizes readability, modularity, typesafety, and tooling. Ceylon programs execute on Java and JavaScript virtual machines. In this session, Gavin King will talk about the ideas behind Ceylon and demonstrate the language, its type system, its module architecture, and its IDE.
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Gavin King leads the Ceylon project at Red Hat. He is the creator of Hibernate, a popular object/relational persistence solution for Java, and the Seam Framework, an application framework for enterprise Java. He's contributed to the Java Community Process as JBoss and then Red Hat representative for the EJB and JPA specifications and as lead of the CDI specification.
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Main topics to be covered in this talk:
+ Architectures for Large Scale Enterprise Search
+ Leveraging Apache Cassandra & Spark
+ Customizing / Configuring Apache SolR and Indexing
+ Writing a custom Parser for SolR in Scala
Building Enterprise Search Engines using Open Source Technologies
Enterprise Search is a challenging problem for most organizations. Public search technologies such as Google can index content and use link popularity to rank content in addition to the basic keyword matches. Enterprise Search is different. Sometimes it requires specially designed indexes as well as several processing steps.
At the U.S. Patent & Trademark Office, part of the Department of Commerce, a team of professionals is building the next generation of search tools using open source technologies. Like any large undertaking, it’s not a simple plug and play project.
Main topics to be covered in this talk:
+ Architectures for Large Scale Enterprise Search
+ Leveraging Apache Cassandra & Spark
+ Customizing / Configuring Apache SolR and Indexing
+ Writing a custom Parser for SolR in Scala
Apache Solr - Enterprise search platform
Sourcesense first Knowledge Sharing Day presentation about the Apache Solr enterprise search open source platform
Battle of the giants: Apache Solr vs ElasticSearch
Elasticsearch and Apache Solr are both distributed search engines that provide full text search capabilities and real-time analytics on large volumes of data. The document compares their architectures, data models, query languages, and other features. Key differences include Elasticsearch having a more dynamic schema while Solr relies more on predefined schemas, and Elasticsearch natively supports features like nested objects and parent/child relationships that require additional configuration in Solr.
BigData Faceted Search Comparison between Apache Solr vs. ElasticSearch
Search faceting presentation and comparison of BigData textual content indexing/search analytics solutions. Presentation focuses on the comparison of the open source solutions provided by Apache Solr to those of ElasticSearch.
Selenium
This document provides an overview of Selenium, including:
- A brief history of how automated functional tests have evolved over time at the company from having no tests to utilizing Selenium.
- An explanation of the current Selenium architecture used by the company's tests, including how tests are now broken up per application to follow the way the continuous integration server was designed.
- Details on how parallelism was implemented in the tests to address execution time issues as the test suite grew, including the use of a dictionary to ensure unique test names.
- How SQL was incorporated to speed up tests by mocking data setup directly in the database rather than through the UI to reduce lengthy wizard and group creation times.
Hibernate ORM: Tips, Tricks, and Performance Techniques
DevNexus 2014
Out-of-the-box, Hibernate ORM offers limited overhead and decent throughput. Early-stage applications enjoy the convenience of ORM/JPA with great performance. However, scaling your application into an enterprise-level system introduces more demanding needs.
This talk will describe numerous tips and techniques to both increase Hibernate ORM performance, as well as decrease overhead. These include some basic tricks, such as mapping and fetching strategies. Entity enhancement instrumentation, third-party second level caching, Hibernate Search, and more complex considerations will also be discussed. The talk will include live demonstrations techniques and their before-and-after results.
Applied Deep Learning with Spark and Deeplearning4j
This document discusses deep learning and DL4J. It begins with an overview of deep learning, describing it as automated feature engineering through chained techniques like restricted Boltzmann machines. It then introduces DL4J, describing it as an enterprise-grade deep learning library for Java, Scala, and Python that supports parallelization on YARN and Spark as well as GPUs. The rest of the document discusses using DL4J with Spark for deep learning workflows on large datasets and provides an example of using the DL4J tool suite to perform vectorization, training, and evaluation on the Iris dataset.
Solr Recipes Workshop
This document summarizes a Solr Recipes Workshop presented by Erik Hatcher of Lucid Imagination. It introduces Lucene and Solr, describes how to index different content sources into Solr including CSV, XML, rich documents, and databases, and provides an overview of using the DataImportHandler to index from a relational database.
Scala in practice
While the Java platform has gained notoriety in the last 15 years as a robust application platform with a thriving ecosystem and well-established practices, the Java language has had its share of criticism. Highly verbose, overly didactic, limited feature set; whichever flavor of criticism you prefer, it's patently obvious that Java is playing catch up to more modern languages with a less rigid evolution path.
The language landscape today is vastly different than it had been five or ten years ago; a wide array of languages are available, designed to suit a variety of flavors: Groovy, Clojure, Scala, Gosu, Kotlin... which should you choose? This lecture focuses on one company's decision to focus on Scala, and presents a case study based on our experiences using Scala in practice, in the hope of providing much-needed real world context to assist your decision.
This presentation was used for the Scala In Practice lecture at the Botzia Israeli Java User Group meeting, May 3rd 2012.
Deep learning with DL4J - Hadoop Summit 2015
This document discusses deep learning and DL4J. It begins with an overview of deep learning, describing it as automated feature engineering through chained techniques like restricted Boltzmann machines. It then introduces DL4J, describing it as an enterprise-grade Java implementation of deep learning that supports parallelization on Hadoop, Spark, and GPUs. The rest of the document discusses building deep learning workflows with DL4J and related tools like Canova and Arbiter, providing an example of vectorizing and modeling iris data from a CSV file on the command line.
Solr Recipes
Solr Recipes provides quick and easy steps for common use cases with Apache Solr. Bite-sized recipes will be presented for data ingestion, textual analysis, client integration, and each of Solr’s features including faceting, more-like-this, spell checking/suggest, and others.
NiFi - First approach
The very basics of using Apache NiFi.
Get data from any source, transform it and put it to any destination.
Similar to Ceylon SDK by Stéphane Épardaud (20)
From Tomcat to Java EE, making the transition with TomEE
From Tomcat to Java EE, making the transition with TomEE
Building Enterprise Search Engines using Open Source Technologies
Building Enterprise Search Engines using Open Source Technologies
Building Enterprise Search Engines using Open Source Technologies
Building Enterprise Search Engines using Open Source Technologies
Battle of the giants: Apache Solr vs ElasticSearch
Battle of the giants: Apache Solr vs ElasticSearch
BigData Faceted Search Comparison between Apache Solr vs. ElasticSearch
BigData Faceted Search Comparison between Apache Solr vs. ElasticSearch
Hibernate ORM: Tips, Tricks, and Performance Techniques
Hibernate ORM: Tips, Tricks, and Performance Techniques
Applied Deep Learning with Spark and Deeplearning4j
Applied Deep Learning with Spark and Deeplearning4j
Recently uploaded
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
By Design, not by Accident - Agile Venture Bolzano 2024
As presented at the Agile Venture Bolzano, 4.06.2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentationsGDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Recently uploaded (20)
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
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FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
Ceylon SDK by Stéphane Épardaud
- 2. State of the SDK • Progressing rapidly • Most modules mature – Some still need love • Let's discover them!
- 3. ceylon.build • The Ceylon build system • Currently a work in progress • Soon to be used to build Ceylon SDK – Replace existing Ant build • Other presentation by Loïc
- 4. ceylon.collection • Basic collections – MutableList, MutableSet, MutableMap – LinkedList, HashSet, HashMap – ArrayList, TreeSet, TreeMap, Queue, Stack
- 5. ceylon.dbc • Database access • Insert, update, delete, select • Limited support for transactions
- 6. ceylon.file • File systems, paths • Files, directories, links • Reader, Writer
- 7. ceylon.html • Html creation and serialisation • Tree-like representation
- 8. ceylon.interop.java • Conversions between Java/Ceylon – String – Iterable/Iterator/Resource – Java class literals – Instance Java classes
- 9. ceylon.io • • • • Not finished Charsets Buffers Sockets/Files – Selectors (non-blocking) – Blocking
- 10. ceylon.json • Create Json trees • Serialise/parse
- 11. ceylon.math • Arbitrary-precision – Whole, Decimal • Mathematical operations – Float, Integer • Rounding, cos, sin…
- 12. ceylon.net • Unfinished parts • Uri – Uri parsing/building done right • Http – Client written in Ceylon – Server wrapper for Undertow
- 13. ceylon.process • Launching external processes • Dealing with input/output/error • Environment
- 14. ceylon.test • • • • Unit testing Declarative syntax Eclipse plugin Presentation by Tomaš
- 15. ceylon.time • Date/Time library – Largely based on JodaTime / Jsr-310 – Date, Clock, Instant, Duration, Period – Calendars
- 16. ceylon.unicode • Categories • Directionality • Character names
- 17. ceylon.next • • • • ceylon.transaction ceylon.locale ceylon.concurrency Looking for contributors!
- 18. On to the next talk