SBT is a small jar file that provides everything you need to bootstrap your scala projects. Combining its modular design with the projects template tool giter8, you'll get all you need to start your scala voyage.
Practical REPL-driven Development with ClojureKent Ohashi
?
This document introduces practical REPL-driven development with Clojure. It covers starting a Clojure REPL with Leiningen, evaluating expressions, viewing documentation, running tests and applications. It also discusses Lisp editing plugins like Parinfer and ParEdit that help with parentheses. Finally, it recommends resources on Clojure tools, editors, and REPL-driven development practices.
JavaScript is evolving with the addition of modules, platform consistency, and harmony features. Modules allow JavaScript code to be organized and avoid naming collisions. CommonJS and AMD module formats are used widely. Platform consistency is improved through polyfills that mimic future APIs for older browsers. Harmony brings language-level modules and features like destructuring assignment, default parameters, and promises to JavaScript. Traceur compiles Harmony code to existing JavaScript.
The next release of the Java Standard Edition is scheduled for the beginning of 2010. In this session we'll review the latest feature list of what's in and what's out of the next version of the JDK.
An update on the latest news around JavaFX including the 1.2 release and the general availability of JavaFX Mobile for Windows Mobile devices.
The document provides an overview of using sbt (Scala Build Tool) including:
- Installing sbt and creating a basic project structure
- Common sbt commands like compile, run, and test
- Defining settings and tasks in build.sbt
- Referencing settings from tasks and getting task results
- Using scopes to define values for specific projects or configurations
- Plugins that add additional functionality to sbt
This document discusses container security and analyzes potential vulnerabilities in Docker containers. It describes how containers may not fully isolate processes and how an attacker could escape a container to access the host machine via avenues like privileged containers, kernel exploits, or Docker socket access. It provides examples of container breakouts using these methods and emphasizes the importance of security features like seccomp, AppArmor, cgroups to restrict containers. The document encourages readers to apply security best practices like the Docker Bench tool to harden containers.
This document provides an overview of Clojure and why one may want to try it. Some key points include:
- Clojure is a functional programming language that runs on the JVM and allows easy interoperability with Java.
- It has a very small and elegant syntax based on Lisp with sensible macro names and prefix notation.
- Clojure encourages pure functional programming and the use of immutable data structures, while providing tools like Software Transactional Memory to allow safe mutable state changes.
- Its focus on functions as first-class citizens and referential transparency can provide benefits for writing parallel and concurrent code more easily compared to other languages.
Java 7 was released in July 2011 with improvements to performance, concurrency, and memory management. Plans for Java 8 include modularity, lambda expressions, and date/time APIs. The Java Community Process is also being improved to increase transparency, participation, and agility through JSR 348. Overall, the Java ecosystem continues to grow with new languages on the JVM and an active community.
Introduction to Gradle in 45min as done at JBCN 2016. Covers the basics of Gradle for people familiar with other build tools. Includes building Java, Scala, Groovy & Kotlin projects
Can two JVM languages, none of them Java, work harmoniously, side by side? Should they? In this lecture we¨ll see how code written in Groovy and Scala work with Java and how they can be made to work with each other. The lecture is based on the experience of introducing Scala to an actual Groovy project.
This document introduces Clojure for Java developers with little Clojure experience. It discusses why Clojure is a good option, what Clojure is, its core concepts like immutability and functional programming, and how to interact with Java from Clojure. It also provides an overview of managing Clojure projects and deploying Clojure applications to the cloud.
Using the Android Native Development Kit (NDK)Xavier Hallade
?
This document discusses using the Android Native Development Kit (NDK) to incorporate native code into Android apps. It covers:
- What the NDK is and why developers use it (for performance, differentiation, code reuse)
- How to install and set up the NDK
- Integrating native C/C++ code with Java using the Java Native Interface (JNI)
- Debugging native code using logcat and GDB
- Supporting multiple CPU architectures by configuring the APP_ABI variable
Develop your next app with kotlin @ AndroidMakersFr 2017Arnaud Giuliani
?
Kotlin is a fully interoperable programming language for building Android and multiplatform applications. It is statically typed, concise, and designed to interoperate seamlessly with Java. Kotlin aims to combine the best of both object-oriented and functional programming, and provides features to write safer and more concise code compared to Java, such as null safety, type inference, and extension functions. The document provides an overview of Kotlin's features and how it compares to other languages like Java and Swift, and demonstrates how to set up a Kotlin project using Gradle build system.
1) Qooxdoo is a JavaScript framework that provides object-oriented programming features to JavaScript. It turns JavaScript into a "grown up OO language" and allows developers to write browser-based applications without needing HTML or CSS knowledge.
2) The document discusses how to get started with a basic "Hello World" Qooxdoo application by installing Python, unpacking Qooxdoo, and generating and running the application files.
3) Key aspects of programming with Qooxdoo include leveraging JavaScript features like anonymous functions, closures, and proper understanding of scoping, as the framework relies heavily on these elements.
DevStack is a documented shell script that builds complete OpenStack development environments by installing and configuring services like Glance, Horizon, Keystone, Nova, Quantum, Swift, and others. It uses files like localrc to override variables, stackrc for repository and image settings, and stack.sh to orchestrate the installation. Developers can modify code in /opt/stack, restart services, and test changes by viewing logs in screen sessions to iteratively develop and debug OpenStack.
This document discusses ways to diagnose performance issues in PostgreSQL. It begins with an introduction to common system resources like CPU, memory, disks, and network that can cause bottlenecks. It then covers specific PostgreSQL internal processes like locks that can lead to performance problems. The document provides examples of using tools like pg_stat_statements, gdb, perf, SystemTap, and trace files to analyze issues further. It emphasizes that performance problems can have complex causes and provides recommendations for improving monitoring and diagnostics.
What we can expect from Java 9 by Ivan KrylovJ On The Beach
?
Java 9 is currently scheduled to become generally available in less then 1 year. Perhaps now is a good time to have a closer look at language proposals and API changes in Java 9. There are over 70 proposals targeted to Java 9, we will have a looks at some key ones, starting with java modularity. We will look at some breaking changes and ways to develop both short and long term solutions for adoption of new upcoming version of Java.
The document summarizes changes and additions in Clojure 1.1 and beyond. Key changes include replacing watchers with add-watch/remove-watch, removing add-classpath, deprecating ^ in favor of meta, reworking clojure.parallel to use Java 7 fork-join, and replacing clojure.lang.Repl and clojure.lang.Script with clojure.main. Additions include primitive array generation/casting, chunked sequences, futures, promises, transients, pre-/post- conditions, and new namespaces like clojure.test. Future versions may include reify, deftype, defprotocol, fine-grained locals clearing, and agent
Inside the JVM - Follow the white rabbit! / Breizh JUGSylvain Wallez
?
Presentation given at the Rennes (FR) Java User Group in Feb 2019.
How do we go from your Java code to the CPU assembly that actually runs it? Using high level constructs has made us forget what happens behind the scenes, which is however key to write efficient code.
Starting from a few lines of Java, we explore the different layers that constribute to running your code: JRE, byte code, structure of the OpenJDK virtual machine, HotSpot, intrinsic methds, benchmarking.
An introductory presentation to these low-level concerns, based on the practical use case of optimizing 6 lines of code, so that hopefully you to want to explore further!
containerit at useR!2017 conference, BrusselsDaniel N┨st
?
**Webpage**
https://github.com/o2r-project/containerit/
**Abstract**
Reproducibility of computations is crucial in an era where data is born digital and analysed algorithmically. Most studies however only publish the results, often with figures as important interpreted outputs. But where do these figures come from? Scholarly articles must provide not only a description of the work but be accompanied by data and software. R offers excellent tools to create reproducible works, i.e. Sweave and RMarkdown. Several approaches to capture the workspace environment in R have been made, working around CRAN¨s deliberate choice not to provide explicit versioning of packages and their dependencies. They preserve a collection of packages locally (packrat, pkgsnap, switchr/GRANBase) or remotely (MRAN timemachine/checkpoint), or install specific versions from CRAN or source (requireGitHub, devtools). Installers for old versions of R are archived on CRAN. A user can manually re-create a specific environment, but this is a cumbersome task.
We introduce a new possibility to preserve a runtime environment including both, packages and R, by adding an abstraction layer in the form of a container, which can execute a script or run an interactive session. The package containeRit automatically creates such containers based on Docker. Docker is a solution for packaging an application and its dependencies, but shows to be useful in the context of reproducible research (Boettiger 2015). The package creates a container manifest, the Dockerfile, which is usually written by hand, from sessionInfo(), R scripts, or RMarkdown documents. The Dockerfiles use the Rocker community images as base images. Docker can build an executable image from a Dockerfile. The image is executable anywhere a Docker runtime is present. containeRit uses harbor for building images and running containers, and sysreqs for installing system dependencies of R packages. Before the planned CRAN release we want to share our work, discuss open challenges such as handling linked libraries (see discussion on geospatial libraries in Rocker), and welcome community feedback.
containeRit is developed within the DFG-funded project Opening Reproducible Research to support the creation of Executable Research Compendia (ERC) (N┨st et al. 2017).
**References**
Boettiger, Carl. 2015. ^An Introduction to Docker for Reproducible Research, with Examples from the R Environment. ̄ ACM SIGOPS Operating Systems Review 49 (January): 71C79. doi:10.1145/2723872.2723882.
N┨st, Daniel, Markus Konkol, Edzer Pebesma, Christian Kray, Marc Schutzeichel, Holger Przibytzin, and J?rg Lorenz. 2017. ^Opening the Publication Process with Executable Research Compendia. ̄ D-Lib Magazine 23 (January). doi:10.1045/january2017-nuest.
Java 9 will introduce a new module system that will provide code encapsulation and a way to explicitly declare dependencies between modules. Some key changes include the ability to define modules using a module-info.java file, and new parameters for javac and java to support modules. There are still some unresolved issues around module declarations, artifacts, descriptors, graphs, reflection, and versioning that need to be addressed prior to final release. The new module system is aimed at addressing problems like large runtime footprints, classpath issues, and lack of visibility controls between packages.
Gradle is a flexible general purpose build system with a build-by-convention framework a la Maven on top. It uses Apache Ivy under the hood for its dependency management. Its build scripts are written in Groovy.
A presentation on JUnit Pioneer given at Fortitude Technologies on Mar. 4, 2021. JUnit Pioneer is an extension library for JUnit 5 (Jupiter).
Sample code on GitHub at:
https://github.com/sleberknight/junit-pioneering-presentation-code
JUnit Pioneer home page:
https://junit-pioneer.org
This document summarizes the recent and upcoming Java Development Kit (JDK) releases from JDK 10 through JDK 17. It provides an overview of the release schedule and timelines for long-term support releases. It also describes some of the major new features and language projects included in recent and upcoming JDK versions, such as switch expressions, text blocks, records, and value types. References are provided for further information on the Java release cadence and new features.
This document provides an overview of Clojure and why one may want to try it. Some key points include:
- Clojure is a functional programming language that runs on the JVM and allows easy interoperability with Java.
- It has a very small and elegant syntax based on Lisp with sensible macro names and prefix notation.
- Clojure encourages pure functional programming and the use of immutable data structures, while providing tools like Software Transactional Memory to allow safe mutable state changes.
- Its focus on functions as first-class citizens and referential transparency can provide benefits for writing parallel and concurrent code more easily compared to other languages.
Java 7 was released in July 2011 with improvements to performance, concurrency, and memory management. Plans for Java 8 include modularity, lambda expressions, and date/time APIs. The Java Community Process is also being improved to increase transparency, participation, and agility through JSR 348. Overall, the Java ecosystem continues to grow with new languages on the JVM and an active community.
Introduction to Gradle in 45min as done at JBCN 2016. Covers the basics of Gradle for people familiar with other build tools. Includes building Java, Scala, Groovy & Kotlin projects
Can two JVM languages, none of them Java, work harmoniously, side by side? Should they? In this lecture we¨ll see how code written in Groovy and Scala work with Java and how they can be made to work with each other. The lecture is based on the experience of introducing Scala to an actual Groovy project.
This document introduces Clojure for Java developers with little Clojure experience. It discusses why Clojure is a good option, what Clojure is, its core concepts like immutability and functional programming, and how to interact with Java from Clojure. It also provides an overview of managing Clojure projects and deploying Clojure applications to the cloud.
Using the Android Native Development Kit (NDK)Xavier Hallade
?
This document discusses using the Android Native Development Kit (NDK) to incorporate native code into Android apps. It covers:
- What the NDK is and why developers use it (for performance, differentiation, code reuse)
- How to install and set up the NDK
- Integrating native C/C++ code with Java using the Java Native Interface (JNI)
- Debugging native code using logcat and GDB
- Supporting multiple CPU architectures by configuring the APP_ABI variable
Develop your next app with kotlin @ AndroidMakersFr 2017Arnaud Giuliani
?
Kotlin is a fully interoperable programming language for building Android and multiplatform applications. It is statically typed, concise, and designed to interoperate seamlessly with Java. Kotlin aims to combine the best of both object-oriented and functional programming, and provides features to write safer and more concise code compared to Java, such as null safety, type inference, and extension functions. The document provides an overview of Kotlin's features and how it compares to other languages like Java and Swift, and demonstrates how to set up a Kotlin project using Gradle build system.
1) Qooxdoo is a JavaScript framework that provides object-oriented programming features to JavaScript. It turns JavaScript into a "grown up OO language" and allows developers to write browser-based applications without needing HTML or CSS knowledge.
2) The document discusses how to get started with a basic "Hello World" Qooxdoo application by installing Python, unpacking Qooxdoo, and generating and running the application files.
3) Key aspects of programming with Qooxdoo include leveraging JavaScript features like anonymous functions, closures, and proper understanding of scoping, as the framework relies heavily on these elements.
DevStack is a documented shell script that builds complete OpenStack development environments by installing and configuring services like Glance, Horizon, Keystone, Nova, Quantum, Swift, and others. It uses files like localrc to override variables, stackrc for repository and image settings, and stack.sh to orchestrate the installation. Developers can modify code in /opt/stack, restart services, and test changes by viewing logs in screen sessions to iteratively develop and debug OpenStack.
This document discusses ways to diagnose performance issues in PostgreSQL. It begins with an introduction to common system resources like CPU, memory, disks, and network that can cause bottlenecks. It then covers specific PostgreSQL internal processes like locks that can lead to performance problems. The document provides examples of using tools like pg_stat_statements, gdb, perf, SystemTap, and trace files to analyze issues further. It emphasizes that performance problems can have complex causes and provides recommendations for improving monitoring and diagnostics.
What we can expect from Java 9 by Ivan KrylovJ On The Beach
?
Java 9 is currently scheduled to become generally available in less then 1 year. Perhaps now is a good time to have a closer look at language proposals and API changes in Java 9. There are over 70 proposals targeted to Java 9, we will have a looks at some key ones, starting with java modularity. We will look at some breaking changes and ways to develop both short and long term solutions for adoption of new upcoming version of Java.
The document summarizes changes and additions in Clojure 1.1 and beyond. Key changes include replacing watchers with add-watch/remove-watch, removing add-classpath, deprecating ^ in favor of meta, reworking clojure.parallel to use Java 7 fork-join, and replacing clojure.lang.Repl and clojure.lang.Script with clojure.main. Additions include primitive array generation/casting, chunked sequences, futures, promises, transients, pre-/post- conditions, and new namespaces like clojure.test. Future versions may include reify, deftype, defprotocol, fine-grained locals clearing, and agent
Inside the JVM - Follow the white rabbit! / Breizh JUGSylvain Wallez
?
Presentation given at the Rennes (FR) Java User Group in Feb 2019.
How do we go from your Java code to the CPU assembly that actually runs it? Using high level constructs has made us forget what happens behind the scenes, which is however key to write efficient code.
Starting from a few lines of Java, we explore the different layers that constribute to running your code: JRE, byte code, structure of the OpenJDK virtual machine, HotSpot, intrinsic methds, benchmarking.
An introductory presentation to these low-level concerns, based on the practical use case of optimizing 6 lines of code, so that hopefully you to want to explore further!
containerit at useR!2017 conference, BrusselsDaniel N┨st
?
**Webpage**
https://github.com/o2r-project/containerit/
**Abstract**
Reproducibility of computations is crucial in an era where data is born digital and analysed algorithmically. Most studies however only publish the results, often with figures as important interpreted outputs. But where do these figures come from? Scholarly articles must provide not only a description of the work but be accompanied by data and software. R offers excellent tools to create reproducible works, i.e. Sweave and RMarkdown. Several approaches to capture the workspace environment in R have been made, working around CRAN¨s deliberate choice not to provide explicit versioning of packages and their dependencies. They preserve a collection of packages locally (packrat, pkgsnap, switchr/GRANBase) or remotely (MRAN timemachine/checkpoint), or install specific versions from CRAN or source (requireGitHub, devtools). Installers for old versions of R are archived on CRAN. A user can manually re-create a specific environment, but this is a cumbersome task.
We introduce a new possibility to preserve a runtime environment including both, packages and R, by adding an abstraction layer in the form of a container, which can execute a script or run an interactive session. The package containeRit automatically creates such containers based on Docker. Docker is a solution for packaging an application and its dependencies, but shows to be useful in the context of reproducible research (Boettiger 2015). The package creates a container manifest, the Dockerfile, which is usually written by hand, from sessionInfo(), R scripts, or RMarkdown documents. The Dockerfiles use the Rocker community images as base images. Docker can build an executable image from a Dockerfile. The image is executable anywhere a Docker runtime is present. containeRit uses harbor for building images and running containers, and sysreqs for installing system dependencies of R packages. Before the planned CRAN release we want to share our work, discuss open challenges such as handling linked libraries (see discussion on geospatial libraries in Rocker), and welcome community feedback.
containeRit is developed within the DFG-funded project Opening Reproducible Research to support the creation of Executable Research Compendia (ERC) (N┨st et al. 2017).
**References**
Boettiger, Carl. 2015. ^An Introduction to Docker for Reproducible Research, with Examples from the R Environment. ̄ ACM SIGOPS Operating Systems Review 49 (January): 71C79. doi:10.1145/2723872.2723882.
N┨st, Daniel, Markus Konkol, Edzer Pebesma, Christian Kray, Marc Schutzeichel, Holger Przibytzin, and J?rg Lorenz. 2017. ^Opening the Publication Process with Executable Research Compendia. ̄ D-Lib Magazine 23 (January). doi:10.1045/january2017-nuest.
Java 9 will introduce a new module system that will provide code encapsulation and a way to explicitly declare dependencies between modules. Some key changes include the ability to define modules using a module-info.java file, and new parameters for javac and java to support modules. There are still some unresolved issues around module declarations, artifacts, descriptors, graphs, reflection, and versioning that need to be addressed prior to final release. The new module system is aimed at addressing problems like large runtime footprints, classpath issues, and lack of visibility controls between packages.
Gradle is a flexible general purpose build system with a build-by-convention framework a la Maven on top. It uses Apache Ivy under the hood for its dependency management. Its build scripts are written in Groovy.
A presentation on JUnit Pioneer given at Fortitude Technologies on Mar. 4, 2021. JUnit Pioneer is an extension library for JUnit 5 (Jupiter).
Sample code on GitHub at:
https://github.com/sleberknight/junit-pioneering-presentation-code
JUnit Pioneer home page:
https://junit-pioneer.org
This document summarizes the recent and upcoming Java Development Kit (JDK) releases from JDK 10 through JDK 17. It provides an overview of the release schedule and timelines for long-term support releases. It also describes some of the major new features and language projects included in recent and upcoming JDK versions, such as switch expressions, text blocks, records, and value types. References are provided for further information on the Java release cadence and new features.
The document discusses unit testing and its benefits and limitations. It notes that while tests provide confidence that code works as intended, they cannot prevent all problems. The Boeing 737 MAX crashes are discussed as an example of issues despite passing tests due to sensor problems. Proper unit testing involves automated, repeatable, and continuous testing of isolated units with mocked dependencies. Test-driven development and design can lead to more testable and maintainable code, but tests also have costs and limitations.
A short presentation slide deck on SDKMAN!, the SDK version manager. You can find SDKMAN! at its website, https://sdkman.io/
SDKMAN! is a tool to manage multiple versions of multiple software development kits (SDKs) like Java, Kotlin, Groovy, Scala, etc.
The document discusses JUnit 5, the next generation of the JUnit testing framework for Java. Key aspects include a new programming model using extensions, support for Java 8 features, and ways to migrate from earlier JUnit versions. The new framework consists of the JUnit Platform launcher, the JUnit Jupiter API for writing tests, and the JUnit Vintage engine for running JUnit 3 and 4 tests.
際際滷s for a short presentation I gave on AWS Lambda, which "lets you run code without provisioning or managing servers". Lambda is to running code as Amazon S3 is to storing objects.
際際滷s accompanying a presentation on Dropwizard I gave at the DevIgnition conference ( www.devignition.com ) on April 29, 2016. The sample code is on GitHub at https://github.com/sleberknight/dropwizard-devignition-2016
The document provides an overview of Jersey, an open source framework for developing RESTful web services in Java. It describes how Jersey implements JAX-RS and supports developing resources using Java annotations like @Path, @GET and @Produces. Resources are POJOs that handle HTTP requests at specific URI paths. Jersey also supports object injection, sub-resources, response building and common deployment options like using Grizzly HTTP server.
HTTPie is a command line HTTP client that aims to make interacting with web services as human-friendly as possible. It provides colorized and formatted output, supports various HTTP methods and authentication types, and allows interacting with web services through simple HTTP commands. Some key features include output formatting, query parameters, file uploads, authentication, and named sessions for persisting settings between requests.
jps and jvmtop are tools for monitoring Java processes and JVMs. jps lists Java processes similarly to ps and provides options like -l for fully qualified class names. jvmtop is like top but for Java processes, showing columns for PID, memory usage, CPU usage, GC activity, and more. Both tools get process information from /tmp files, so beware of tools like tmpwatch that may delete these files and cause processes to go unmonitored.
際際滷s for presentation on Cloudera Impala I gave at the DC/NOVA Java Users Group on 7/9/2013. It is a slightly updated set of slides from the ones I uploaded a few months ago on 4/19/2013. It covers version 1.0.1 and also includes some new slides on HortonWorks' Stinger Initiative.
際際滷s for a lightning talk on Java 8 lambda expressions I gave at the Near Infinity (www.nearinfinity.com) 2013 spring conference.
The associated sample code is on GitHub at https://github.com/sleberknight/java8-lambda-samples
際際滷s for presentation on Google Guava I gave at the Near Infinity (www.nearinfinity.com) 2013 spring conference.
The associated sample code is on GitHub at https://github.com/sleberknight/google-guava-samples
際際滷s for presentation on ZooKeeper I gave at Near Infinity (www.nearinfinity.com) 2012 spring conference.
The associated sample code is on GitHub at https://github.com/sleberknight/zookeeper-samples
際際滷s for a lightning talk on HBase that I gave at Near Infinity (www.nearinfinity.com) spring 2012 conference.
The associated sample code is on GitHub at https://github.com/sleberknight/basic-hbase-examples
Hadoop is an open-source framework for distributed storage and processing of large datasets across clusters of computers. It consists of HDFS for distributed storage and MapReduce for distributed processing. HDFS stores large files across multiple machines and provides high throughput access to application data. MapReduce allows processing of large datasets in parallel by splitting the work into independent tasks called maps and reduces. Companies use Hadoop for applications like log analysis, data warehousing, machine learning, and scientific computing on large datasets.
This document provides an overview and introduction to CoffeeScript, a programming language that compiles to JavaScript. It shows how CoffeeScript code compiles to equivalent JavaScript code, and demonstrates CoffeeScript features like functions, classes, and object-oriented programming. The document introduces CoffeeScript syntax for arrays, objects, loops, and functions, and compares syntax to JavaScript. It also covers CoffeeScript concepts like scoping, context, and class-based object-oriented programming using prototypes.
Revolutionizing Field Service: How LLMs Are Powering Smarter Knowledge Access...Earley Information Science
?
Revolutionizing Field Service with LLM-Powered Knowledge Management
Field service technicians need instant access to accurate repair information, but outdated knowledge systems often create frustrating delays. Large Language Models (LLMs) are changing the game!enhancing knowledge retrieval, streamlining troubleshooting, and reducing technician dependency on senior staff.
In this webinar, Seth Earley and industry experts Sanjay Mehta, and Heather Eisenbraun explore how LLMs and Retrieval-Augmented Generation (RAG) are transforming field service operations. Discover how AI-powered knowledge management is improving efficiency, reducing downtime, and elevating service quality.
LLMs for Instant Knowledge Retrieval C How AI-driven search dramatically cuts troubleshooting time.
Structured Data & AI C Why high-quality, organized knowledge is essential for LLM success.
Real-World Implementation C Lessons from deploying LLM-powered knowledge tools in field service.
Business Impact C How AI reduces service delays, optimizes workflows, and enhances technician productivity.
Empower your field service teams with AI-driven knowledge access. Watch the webinar to see how LLMs are revolutionizing service efficiency.
16 KALALU????????????????????? APARAMAHASAHASRA SIMHAMAHANKALKIADIPARASAKTIBH...IT Industry
?
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Mastering ChatGPT & LLMs for Practical Applications: Tips, Tricks, and Use CasesSanjay Willie
?
Our latest session with Astiostech covered how to unlock the full potential of ChatGPT and LLMs for real-world use!
? Key Takeaways:
? Effective Prompting: Crafting context-specific, high-quality prompts for optimal AI responses.
? Advanced ChatGPT Features: Managing system prompts, conversation memory, and file uploads.
? Optimizing AI Outputs: Refining responses, handling large texts, and knowing when fine-tuning is needed.
? Competitive Insights: Exploring how ChatGPT compares with other AI tools.
? Business & Content Use Cases: From summarization to SEO, sales, and audience targeting.
? The session provided hands-on strategies to make AI a powerful tool for content creation, decision-making, and business growth.
? Are you using AI effectively in your workflow? Let¨s discuss how it can improve efficiency and creativity!
#AI #ChatGPT #PromptEngineering #ArtificialIntelligence #LLM #Productivity #Astiostech
Benchmark Testing Demystified: Your Roadmap to Peak PerformanceShubham Joshi
?
Benchmark testing is the cornerstone of understanding your system¨s performance, and this guide breaks it down step-by-step. Learn how to design tests that simulate real-world conditions, measure key performance metrics, and interpret results effectively. This comprehensive roadmap covers everything from selecting the right tools to creating repeatable tests that help identify bottlenecks and optimize resource usage. Whether you're dealing with web applications, mobile apps, or enterprise software, this guide offers practical tips and real-life examples to ensure your system runs at peak efficiency.
AI Trends and Fun Demos C Sotheby¨s Rehoboth PresentationEthan Holland
?
Ethan B. Holland explores the impact of artificial intelligence on real estate and digital transformation. Covering key AI trends such as multimodal AI, agency, co-pilots, and AI-powered computer usage, the document highlights how emerging technologies are reshaping industries. It includes real-world demonstrations of AI in action, from automated real estate insights to AI-generated voice and video applications. With expertise in digital transformation, Ethan shares insights from his work optimizing workflows with AI tools, automation, and large language models. This presentation is essential for professionals seeking to understand AI¨s role in business, automation, and real estate.
SB7 Mobile Ltd: Simplified & Secure ServicesReuben Jasper
?
SB7 Mobile Ltd is enhancing customer experience by improving support accessibility, billing transparency, and security. The company has strengthened payment authorization, simplified unsubscription, and expanded customer service channels to address common concerns.
Combining Lexical and Semantic Search with Milvus 2.5Zilliz
?
In short, lexical search is a way to search your documents based on the keywords they contain, in contrast to semantic search, which compares the similarity of embeddings. We¨ll be covering:
?Why, when, and how should you use lexical search
?What is the BM25 distance metric
?How exactly does Milvus 2.5 implement lexical search
?How to build an improved hybrid lexical + semantic search with Milvus 2.5
Kickstart Your QA: An Introduction to Automated Regression Testing ToolsShubham Joshi
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For teams eager to elevate their quality assurance practices, this guide offers an introductory look at automated regression testing tools. In the realm of software development, regression tests are vital to ensuring that recent code changes don¨t inadvertently break existing functionality. This article demystifies how automated regression testing tools function and why they¨re indispensable for maintaining software quality. It covers the basics of setting up automated tests, integrating these tests into your CI/CD pipelines, and choosing the right tool to match your project¨s needs. With clear explanations and actionable insights, you¨ll discover how these tools help reduce manual testing burdens and catch bugs early. The guide also highlights common challenges beginners face and offers practical solutions to overcome them. Whether you¨re a QA professional or a developer stepping into the world of test automation, this resource will help you kickstart your journey toward more reliable, efficient, and scalable testing practices.
This is a comprehensive guide explaining how blockchain technology works, its key features, and real-world applications in industries like finance, supply chain, and retail. Learn about different blockchain networks (public, private, and consortium) and the challenges businesses face in adopting blockchain. Discover how blockchain consulting can help businesses implement secure, transparent, and efficient solutions, reducing risks and optimizing operations. This guide is ideal for businesses exploring blockchain adoption and seeking expert guidance.
Leadership u automatizaciji: RPA pri?e iz prakse!UiPathCommunity
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Dobrodo?li na "AI Powered Automation Leadership Talks", online doga?aj koji okuplja senior lidere i menad?ere iz razli?itih industrija kako bi podelili svoja iskustva, izazove i strategije u oblasti RPA (Robotic Process Automation). Ovaj doga?aj pru?a priliku da zavirite u na?in razmi?ljanja ljudi koji donose klju?ne odluke u automatizaciji i liderstvu.
? Kroz panel diskusiju sa tri izuzetna stru?njaka, istra?i?emo:
Kako uspe?no zapo?eti i skalirati RPA projekte u organizacijama.
Koji su najve?i izazovi u implementaciji RPA-a i kako ih prevazi?i.
Na koje na?ine automatizacija menja radne procese i poma?e timovima da ostvare vi?e.
Bez obzira na va?e iskustvo sa UiPath-om ili RPA uop?te, ovaj doga?aj je osmi?ljen kako bi bio koristan svima C od menad?era do tehni?kih lidera, i svima koji ?ele da unaprede svoje razumevanje automatizacije.
Pridru?ite nam se i iskoristite ovu jedinstvenu priliku da nau?ite od onih koji vode automatizaciju u svojim organizacijama. Pripremite svoja pitanja i inspiraciju za slede?e korake u va?oj RPA strategiji!
FinTech is reshaping the way businesses handle payments, risk management, and financial operations. From AI-driven fraud detection to blockchain-powered security, the right FinTech solutions can streamline processes, reduce costs, and improve decision-making. This guide explores 10 essential FinTech tools that help businesses stay ahead in an increasingly digital economy.
Discover how digital payments, credit risk management, treasury solutions, AI, blockchain, and RegTech can enhance efficiency, security, and profitability.
Read now to learn how businesses are leveraging FinTech for smarter financial management!
The Constructor's Digital Transformation Playbook: Reducing Risk With TechnologyAggregage
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https://www.professionalconstructorcentral.com/frs/27678427/the-constructor-s-digital-transformation-playbook--reducing-risk-with-technology
Reduce risk and boost efficiency with digital transformation in construction. Join us to explore how AI, automation, and data-driven insights can improve project safety and streamline operations.
Caching for Performance Masterclass: The In-Memory DatastoreScyllaDB
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Understanding where in-memory data stores help most and where teams get into trouble.
- Where in the stack to cache
- Memcached as a tool
- Modern cache primitives
Webinar: LF Energy GEISA: Addressing edge interoperability at the meterDanBrown980551
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This webinar will introduce the Grid Edge Security and Interoperability Alliance, or GEISA, an effort within LF Energy to address application interoperability at the very edge of the utility network: meters and other distribution automation devices. Over the last decade platform manufacturers have introduced the ability to run applications on electricity meters and other edge devices. Unfortunately, while many of these efforts have been built on Linux, they haven¨t been interoperable. APIs and execution environment have varied from one manufacturer to the next making it impossible for utilities to obtain applications that they can run across a fleet of different devices. For utilities that want to minimize their supply chain risk by obtaining equipment from multiple suppliers, they are forced to run and maintain multiple separate management systems. Applications available for one device may need to be ported to run on another, or they may not be available at all.
GEISA addresses this by creating a vendor neutral specification for utility edge computing environments. This webinar will discuss why GEISA is important to utilities, the specific issues GEISA will solve and the new opportunities it creates for utilities, platform vendors, and application vendors.
Big Data Analytics Quick Research Guide by Arthur Morgan (PREVIEW)Arthur Morgan
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This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG (coming 2025)
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at art_morgan@att.net.
100% human made.
4. $ jshell
| Welcome to JShell -- Version 19
| For an introduction type: /help intro
jshell>
You type here :-)
5. Basics...
jshell> import java.time.*
jshell> var now = Instant.now()
now ==> 2023-01-12T02:47:48.336715Z
jshell> now.plusSeconds(15 * 60)
$6 ==> 2023-01-12T03:02:48.336715Z
jshell> var later = $6
later ==> 2023-01-12T03:02:48.336715Z
scratch variable
6. Tab completion
<press tab again to see documentation>
jshell> ZonedDateTime.
class from( now( of( ofInstant( ofLocal( ofStrict( parse(
jshell> ZonedDateTime.ofInstant(
$6 later now
Signatures:
ZonedDateTime ZonedDateTime.ofInstant(Instant instant, ZoneId zone)
ZonedDateTime ZonedDateTime.ofInstant(LocalDateTime localDateTime, ZoneOffset offset, ZoneId zone)
<press tab again to see documentation>
jshell> ZonedDateTime.ofInstant(
just keep pressing tab!
8. List snippets
jshell> /list
1 : import org.kiwiproject.collect.*;
2 : import com.google.common.collect.*;
3 : var m = KiwiMaps.<String, Object>newLinkedHashMap("a", 1, "b", 2, "c", 3);
4 : import java.time.*;
5 : var now = Instant.now();
6 : now.plusSeconds(15 * 60)
7 : var later = $6;
9. Rerun snippets
jshell> /list
1 : import org.kiwiproject.collect.*;
2 : import com.google.common.collect.*;
3 : var m = KiwiMaps.<String, Object>newLinkedHashMap("a", 1, "b", 2, "c", 3);
4 : import java.time.*;
5 : var now = Instant.now();
6 : now.plusSeconds(15 * 60)
7 : var later = $6;
jshell> /5
var now = Instant.now();
now ==> 2023-01-12T02:59:43.273136Z
jshell> /list 5
5 : var now = Instant.now();
jshell> now
now ==> 2023-01-12T02:59:43.273136Z
rerun snippet "5"
10. Many useful commands
work with snippets
(list, edit, drop, re-run, save to file, etc.)
open file as input source
list vars, methods, types, imports
set environment
(e.g. class & module path, configuration)
12. Accessing other code...
jshell> /env -class-path .m2/repository/org/kiwiproject/kiwi/2.4.0/
kiwi-2.4.0.jar:.m2/repository/com/google/guava/guava/31.1-jre/guava-31.1-
jre.jar:.m2/repository/org/apache/commons/commons-lang3/3.12.0/commons-
lang3-3.12.0.jar
| Setting new options and restoring state.
jshell> import org.kiwiproject.collect.*
jshell> var m = KiwiMaps.<String, Object>newLinkedHashMap("a", 1, "b", 2, "c", 3)
m ==> {a=1, b=2, c=3}
set class (or module) path
Beware: you must supply all transitive dependencies!
uses Guava's Preconditions
13. Use verbose feedback
jshell> /set feedback verbose
jshell> ZonedDateTime.ofInstant(now, ZoneOffset.UTC)
$12 ==> 2023-01-12T02:59:43.273136Z
| created scratch variable $12 : ZonedDateTime
jshell> /set feedback normal
$ jshell -v
$ jshell --feedback verbose
start in verbose feedback mode
...or change within jshell
other feedback modes: concise, normal, silent