Update:
Video available from Oredev: vimeo.com/53147485
Metaprogramming is the dirty little secret behind the success of many Java frameworks such as Spring and Struts2, and constitutes the backbone of many of the most fundamental APIs across the JEE technology stack. This session aims introduce the topic and highlight, with code examples, the different mechanisms and techniques to take advantage of this underused feature of the Java Programming Language.
This session will adopt a learn-by-example approach that combines the philosophy and theory behind metaprogramming with concrete code examples. The audience will be walked real-life scenarios to highlight the benefits of this technique such as minimizing the number of lines of code, reduced development time, and greater flexibility, etc… Design patterns, and best practices will be picked up along the way.
No previous knowledge or exposure to the topic is required, but an intermediate understanding of Java SE is expected.
Java 10 contains several new features including local variable type inference using the var keyword, time-based release versioning, improved support for Docker containers, and various library enhancements. It focuses on improving performance and usability. Some notable changes include local variable type inference for concise code, parallel full GC for the G1 collector to reduce latency, and application data sharing to improve startup times.
Introduction to Koltin for Android Part I Atif AbbAsi
Welcome to Android Basics in Kotlin! In this course, you'll learn the basics of building Android apps with the Kotlin programming language. Along the way, you'll develop a collection of apps to start your journey as an Android developer.
The document discusses Java Database Connectivity (JDBC) API which defines how Java programs can communicate with databases. It describes key JDBC concepts like drivers, packages, and products. It also covers JDBC design considerations like different types of drivers and client-server models. Basic steps to use JDBC include loading drivers, establishing connections, executing statements, and closing connections.
This document discusses migrating from Java 8 to Java 11. It outlines changes between Java versions, such as modularization and removal of deprecated modules. It provides tips for migration such as updating dependencies, resolving illegal access warnings, and using Docker for testing. Resources are shared for learning more about migrating applications and libraries to newer Java versions.
Huge JRE images were a huge problem for packaging and deploying small and lightweight tools based on Java. Have you tried to reduce Java runtime images? You will be surprised how well that works. From JDK 9 a minimal image targeting desktops can be as small as 18MB!This is a huge improvement but how does this black-magic work? I will be wowing you with an overview of Java’s custom runtime image tooling and present a interactive demo on how to create a mini Java runtime image file. We bust the myths around Java cloud computing and show you how to embraced Cloud Orientated development with Java. See how the new Java module system works with general patterns for developing a modular Java Cloud application.
This document provides an overview of generics in Java. It discusses the benefits of generics, including type safety and compile-time error detection. It also covers generic classes and interfaces, generic methods, wildcard types, and restrictions on generics. Examples are provided to illustrate key concepts like generic classes with multiple type parameters, bounded types, and the implementation of generics using type erasure.
Slides for Data Syndrome one hour course on PySpark. Introduces basic operations, Spark SQL, Spark MLlib and exploratory data analysis with PySpark. Shows how to use pylab with Spark to create histograms.
The document discusses the Kotlin programming language. It highlights that Kotlin is a modern, pragmatic language that provides good tooling and interoperability with Java. It has grown significantly in popularity since its initial release. The document then discusses various features of Kotlin like its concise and readable syntax, null safety, support for lambdas and extensions, and how it can be used for multi-platform projects. Kotlin aims to be an improvement over Java by making code more concise, safe, and expressive while maintaining interoperability with existing Java code and libraries.
The document provides an overview of core Java basics. It discusses that Java was originally developed by Sun Microsystems and the latest release is Java SE 8. It also explains that Java is object-oriented, platform independent, simple, architecture neutral, portable, robust, multithreaded, interpreted and distributed. The document then discusses Java environment setup, basic syntax including classes, objects and methods. It also covers primitive data types, constructors, OOP concepts like abstraction, encapsulation, inheritance and polymorphism.
Java 11 is the second LTS release after Java 8. Java 11 onwards, Oracle JDK would no longer be free for commercial use.
Agenda:
~ Java 11
~ How to download Java 11 free version
~ Important changes and information.
~ Java 11 Features and Enhancements
~ Removed Features
~ Deprecated Features
~ Migration to Java 11
This is a beginner's guide to Java 8 Lambdas, accompnied with executable code examples which you can find at https://github.com/manvendrasinghkadam/java8streams. Java 8 Streams are based on Lambdas, so this presentation assumes you know Lambdas quite well. If don't then please let me know I'll create another presentation regarding it with code examples. Lambdas are relatively easy to use and with the power of stream api you can do functional programming in Java right from start. This is very cool to be a Java programmer now.
Lambda expressions, default methods in interfaces, and the new date/time API are among the major new features in Java 8. Lambda expressions allow for functional-style programming by treating functionality as a method argument or anonymous implementation. Default methods add new capabilities to interfaces while maintaining backwards compatibility. The date/time API improves on the old Calendar and Date APIs by providing immutable and easier to use classes like LocalDate.
This document discusses inheritance in Java. It defines inheritance as allowing new classes to reuse properties of existing classes. There are different types of inheritance including single, multilevel, and hierarchical. Key concepts covered include defining subclasses using the extends keyword, using the super keyword to call parent constructors and access parent members, overriding methods, abstract classes and methods, and using the final keyword to prevent overriding or inheritance.
This document provides an overview of Java collections APIs, including:
- A history of collections interfaces added in different JDK versions from 1.0 to 1.7.
- Descriptions of common collection interfaces like List, Set, Map and their implementations.
- Comparisons of performance and characteristics of different collection implementations.
- Explanations of common collection algorithms and concurrency utilities.
- References for further reading on collections and concurrency.
The document discusses reflection in Java, including:
- What reflection is and its history of use in Java versions
- How reflection allows programs to observe and manipulate objects at runtime without knowing their type at compile time
- Common uses of reflection like loading classes, getting methods/fields, and invoking methods
- Myths about reflection not being useful or reducing performance
- Advanced reflection topics like using it with design patterns
- Improvements to reflection in later Java versions
Reflection allows programs to be more flexible, extensible, and pluggable by observing and manipulating objects at runtime.
This presentation introduces some advanced concepts of generics in Java. These slides introduce the following concepts:
- Generic classes and methods
- Type variable bounds
- Type erasure process
- Generics and inheritance
- Wildcard types
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
Java Collections | Collections Framework in Java | Java Tutorial For Beginner...Edureka!
**** Java Certification Training: https://www.edureka.co/java-j2ee-soa-training ****
This Edureka tutorial on “Java Collections” will talk about the complete hierarchy of Collections Frameworks in Java. It will walk you through the various fundamentals of collections like Lists, Queue, Sets, Interfaces etc. Through this tutorial you will learn the following topics:
Java Collection Framework
Collection Framework Hierarchy
Interfaces
List
Queue
Set
Check out our Java Tutorial blog series: https://goo.gl/osrGrS
Check out our complete Youtube playlist here: https://goo.gl/gMFLx3
Découvrez le framework web Spring Boot qui a la cote !
Apprenez comment son système d'auto-configuration fonctionne.
Live coding et exemple de migration vers Spring Boot sont de la partie.
"What is the future of Java?" is a hard question to tackle. It should be given serious thought whether you are a veteran with a lot invested, a noob trying to figure out what is worthwhile, or just a self-proclaimed Java hater.
In this session, Abdelmonaim will start by introducing the concept of Programming Languages Darwinism to answer what really determines the fate of a technology. A series of questions will be addressed to achieve some clarity such as: How is the paradigm shifting? Why do functional programming languages matter? What is the state of mobile Java? How does the patent wars affect Java? What about the recent security threats? And many more... Expect this session to be controversial, emotionally-charged, and very opinionated.
Metaprogramming involves writing programs that act on other programs. It is used in applications like compiler construction, domain-specific optimization, and generative programming. Effective metaprogramming tools are needed to make the technique accessible to more programmers. This document discusses requirements for metaprogramming tools, including representations of programs, methods for analysis and transformation, and interfaces to external analysis tools. It also outlines proposals for logical frameworks and metalanguages to formally define and orchestrate metaprogramming operations.
This document discusses quantifying the scalability of software. It recommends instrumenting code from the beginning to collect monitoring data on application health, the entire cluster, and individual nodes' system resources. This allows measuring how well a system can handle increasing load and evolving constraints.
Advanced Scala reflection & runtime meta-programming. The Scala compiler toolbox. Reading Scala Annotations and overcoming type erasure with some real world use cases.
This document provides an overview of Google Web Toolkit (GWT), including its history and development, why it is still useful despite newer JavaScript frameworks, how it works, and examples of its use. Key points include: GWT started at Google but is now an open source project overseen by a committee including Google; it allows developing complex browser apps in Java that compile to optimized JavaScript; it enables strong typing and code reuse across platforms; major companies like Google use it for applications; and frameworks like Errai extend it for full-stack web development.
The rise of Mobile and the diversity its technologies make exposing a RESTfull API the most crucial capability of any application and the key to its success. In the absence of widely adopted best practices and well-defined conventions, designing such an API is nothing but trivial. This presentation introduces the fundamentals of REST architecture, and discusses the principles of RESTfull design. Among the topics covered: resource modeling (URI design, and HTTP verbs/status code canonical usage), multiple representation support, testing, cache control, security (Http and OAuth), and API versioning. HATEOAS and REST maturity model are also discussed. No prior knowledge REST is required.
C* Summit 2013: The World's Next Top Data Model by Patrick McFadinDataStax Academy
The document provides an overview and examples of data modeling techniques for Cassandra. It discusses four use cases - shopping cart data, user activity tracking, log collection/aggregation, and user form versioning. For each use case, it describes the business needs, issues with a relational database approach, and provides the Cassandra data model solution with examples in CQL. The models showcase techniques like de-normalizing data, partitioning, clustering, counters, maps and setting TTL for expiration. The presentation aims to help attendees properly model their data for Cassandra use cases.
Deep Dive on ElasticSearch Meetup event on 23rd May '15 at www.meetup.com/abctalks
Agenda:
1) Introduction to NOSQL
2) What is ElasticSearch and why is it required
3) ElasticSearch architecture
4) Installation of ElasticSearch
5) Hands on session on ElasticSearch
Everyone in the Scala world is using or looking into using Akka for low-latency, scalable, distributed or concurrent systems. I'd like to share my story of developing and productionizing multiple Akka apps, including low-latency ingestion and real-time processing systems, and Spark-based applications.
When does one use actors vs futures?
Can we use Akka with, or in place of, Storm?
How did we set up instrumentation and monitoring in production?
How does one use VisualVM to debug Akka apps in production?
What happens if the mailbox gets full?
What is our Akka stack like?
I will share best practices for building Akka and Scala apps, pitfalls and things we'd like to avoid, and a vision of where we would like to go for ideal Akka monitoring, instrumentation, and debugging facilities. Plus backpressure and at-least-once processing.
Reactive app using actor model & apache sparkRahul Kumar
Developing Application with Big Data is really challenging work, scaling, fault tolerance and responsiveness some are the biggest challenge. Realtime bigdata application that have self healing feature is a dream these days. Apache Spark is a fast in-memory data processing system that gives a good backend for realtime application.In this talk I will show how to use reactive platform, Actor model and Apache Spark stack to develop a system that have responsiveness, resiliency, fault tolerance and message driven feature.
Reactive dashboard’s using apache sparkRahul Kumar
Apache Spark's Tutorial talk, In this talk i explained how to start working with Apache spark, feature of apache spark and how to compose data platform with spark. This talk also explains about reactive platform, tools and framework like Play, akka.
This document summarizes the benefits of using vREST for REST API testing. It addresses that initial setup for test automation can be time consuming but vREST provides a browser extension to quickly record test cases. It also notes that vREST removes the need for programming skills normally required for test automation. Further, vREST allows test cases to be easily managed, tagged, and replicated between versions. Finally, it highlights that vREST enables simple maintenance of large test suites through features like bulk operations and diff reports.
Data processing platforms architectures with Spark, Mesos, Akka, Cassandra an...Anton Kirillov
This talk is about architecture designs for data processing platforms based on SMACK stack which stands for Spark, Mesos, Akka, Cassandra and Kafka. The main topics of the talk are:
- SMACK stack overview
- storage layer layout
- fixing NoSQL limitations (joins and group by)
- cluster resource management and dynamic allocation
- reliable scheduling and execution at scale
- different options for getting the data into your system
- preparing for failures with proper backup and patching strategies
Imagine a culture where the input of the whole organization turns an individual idea into a user story in just a couple of hours, where everybody's goal is to make the customer’s job easier and more effective, and where you work on projects you love instead of projects you loathe. A great coding culture concentrates on making developers productive and happy by removing unnecessary overhead, bringing autonomous teams together, helping the individual programmer to innovate, and raising awareness among developers about how to create better code.
I will talk about how to establish and foster a strong engineering-focused culture that scales from a small team to a huge organization with hundreds of developers. I'll give lots of examples from our experience at Atlassian to show that once you're working in a great coding culture, you won't want to work anywhere else.
https://www.youtube.com/watch?v=TAk04-_M-JM&feature=youtu.be
Sass Code Reviews - How one code review changed my life #SassConf2015Stacy Kvernmo
After writing CSS for over 10 years you'd think you would know everything there is to know, right? I couldn't be more wrong and I found out the hard way. While my first formal code review session was painfully embarrassing it was also the most important lesson I have learned throughout my career. Code reviews force you to communicate on a different level which ultimately leads to more thoughtful coding practices. When writing Sass and other pre-processed languages it is even more important that you review your code continually, which even the more seasoned front end developers may neglect at times.
Bottom line: Code reviews will make you better.
Laravel is a powerful PHP web framework that provides tools like authentication, routing, caching and database migration out of the box. It uses an MVC architecture and Eloquent ORM for database access. Key features include its Artisan CLI, resource controllers, routing system and Blade templating engine. Laravel also includes facilities for caching, queues, events and security.
Gathering all the profiling information unconditionally for all processing comprising a distributed service can be quite overwhelming and costly. Especially when most of that information might not be relevant or actionable.
The idea of contextual profiling is to utilize the context captured by tracers to drive the collection and representation of the profiling data in a way that relates directly to the customer's application and business processes.
This talk will shed more light on how the contextual profiling is implemented in Datadog Java Profiler and muse the idea of bringing the concept to OpenJDK JFR such it may be used by all Java users.
This document discusses various techniques for dynamically generating and modifying Java bytecode at runtime. It begins with an overview of Java classes and classloaders, and how classes can be loaded by different classloaders. It then discusses Java proxies, Spring AOP, and AspectJ for implementing aspects and intercepting method calls. The document delves into using the bootstrap classloader to replace system classes, Java agents for instrumenting classes, and directly writing bytecode using libraries like BCEL. It provides an example of dynamically generating a class to map between two object types at runtime. In summary, the document covers advanced Java concepts like bytecode manipulation that enable dynamically modifying and generating new classes.
Peter Doschkinow, langjähriger Java-Experte und Mitarbeiter bei Oracle, gab in seiner Präsentation einen Überblick über die interessantesten und spannendsten Neuerungen in der neusten Java Standard- und Enterprise Edition.
The document provides an introduction to Java programming concepts including an overview of the Java platform, setting up a development environment, writing a first Java application, Java language elements, object-oriented programming concepts, and more. Key topics covered include the history and principles of Java, how to set up Eclipse, writing and running a "Hello World" program, Java syntax like variables and control structures, object-oriented concepts like classes and inheritance, and Java APIs and tools.
An overview of Java's history on Android and direction for the JVM on the future of Android, this talk compiles Java 8/9 APIs to Java 6, offering developers, back to Ice Cream Sandwich, more goodies to play with!
Maven is a build tool that manages Java projects and their dependencies. It uses a POM (Project Object Model) file to describe build configuration including dependencies, plugins, and reports. The document discusses using Maven to build a sample Java project with modules including data, EJB, and web application components. Maven allows each component to be built independently and deployed as JAR, EJB-JAR, and WAR artifacts. XDoclet and other plugins are used to generate code and handle deployment details.
The document discusses extending the Rational Application Developer (RAD) platform through extensibility features. It covers using the Java Development Tooling (JDT) APIs to programmatically analyze Java source code and extract metrics. It also discusses developing custom plug-ins for RAD using the Plug-in Development Environment (PDE), including building custom reporting components using BIRT and Crystal Reports. The document provides an overview of how these extensibility capabilities were used in a case study at Cognizant Technology Solutions to integrate custom quality metrics and productivity tracking tools into their development processes.
The document discusses extensions that can be made to the Rational Application Developer (RAD) platform. It covers APIs for extracting metrics from Java code, building custom plug-ins, developing reports using BIRT and Crystal Reports, creating custom JSF components, and visualizing custom tags. A case study is presented on a project called JCAP that uses these extensibility features to build a code quality assessment platform integrated with RAD and other tools.
Gwt and JSR 269's Pluggable Annotation Processing APIArnaud Tournier
Slides for my presentation given during the GWTCon 2015 conference in Firenze about generating (boiler plate) code with the JSR 269 inside a GWT Project. This JSR can of course also be used in pure Java projects.
This document provides an overview of imperative programming languages (IPL). Some key points:
- IPLs closely resemble the architectural structure of computers and manipulate values and machine states. They use constructs like procedures, functions, variables, and sequential statements.
- Examples of IPLs include FORTRAN, COBOL, Pascal, C/C++, BASIC, and Java. They are based on the von Neumann architecture and instruction set of CPUs.
- IPL characteristics include variables, procedures/function calls, sequential/conditional/iterative statements, and side effects from statement order. Variables abstract memory storage.
This document provides an overview of object-oriented programming concepts in Java including abstraction, encapsulation, inheritance, and polymorphism. It discusses key Java concepts like classes, objects, methods, and access specifiers. It also covers Java fundamentals like variables, data types, operators, control flow statements, comments, and arrays. Additionally, it describes the Java runtime environment, how to set up a Java development environment, compile and run a simple Java program. The document is intended as an introduction to object-oriented programming and the Java programming language.
The document discusses the fundamentals of object-oriented programming and Java. It covers key concepts like abstraction, encapsulation, inheritance and polymorphism. It also describes the basic structure of a Java program, including classes, objects, methods and variables. It explains how to set up a Java development environment, compile and run a simple Java program.
This document discusses Java classes and bytecode. It begins by explaining what classes are and how they are loaded and used. It then discusses classloaders and how classes can be loaded from different classloaders. The document explores aspects of aspect-oriented programming including Java proxies, Spring AOP, and AspectJ. It discusses how to write bytecode at runtime and instruments classes. Finally, it provides an overview of concepts related to aspects in AspectJ such as pointcuts, join points, and advice.
eXo Platform SEA - Play Framework Introductionvstorm83
Play is a web framework for Java that aims to increase developer productivity. It uses a convention over configuration approach and includes features like hot code reloading, an integrated testing framework, and database support via Hibernate. Play lifts constraints of traditional Java web development by providing an easy to use full stack framework for building web applications.
Spring data jpa are used to develop spring applicationsmichaelaaron25322
Spring Data JPA helps overcome limitations of JDBC API and raw JPA by automatically generating data access code. It reduces boilerplate code through repository interfaces that expose CRUD methods. The programmer defines database access methods in repository interfaces rather than implementing them, avoiding inconsistency. A Spring Data JPA project contains pom.xml, Spring Boot starters, application.properties, and main class annotated with @SpringBootApplication to run the application.
Learn the best practices and advanced techniques.
* Passing data to client libs, use the data attribute
* Expression contexts, choose wisely
* Use statement best practices, what fits best your needs
* Template & Call statements advanced usage
* Parameters for sub-resources, featuring resource attributes and synthetic resources
This document discusses software development challenges including different architectures, standards, and formats across projects. It recommends establishing best practices through an onboarding process to unify development approaches. This includes guidelines for architectures like layered and clean architectures, RESTful APIs, code quality processes, and continuous deployment using git flow. The goal is to standardize methodologies to reduce maintenance costs and improve collaboration across multi-language, multi-framework projects.
This document provides an overview of the Java programming language and environment. It discusses that Java is both a programming language and platform, and describes some of Java's key characteristics like being object-oriented, platform independent, secure, robust and high performance. It also outlines the different types of applications that can be created in Java, such as standalone, web, enterprise and mobile applications. The document concludes by explaining the basic steps to compile and run a simple Java program, and some modifications that can be made to the main method.
Similar to The Art of Metaprogramming in Java (20)
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
How to Avoid Learning the Linux-Kernel Memory ModelScyllaDB
The Linux-kernel memory model (LKMM) is a powerful tool for developing highly concurrent Linux-kernel code, but it also has a steep learning curve. Wouldn't it be great to get most of LKMM's benefits without the learning curve?
This talk will describe how to do exactly that by using the standard Linux-kernel APIs (locking, reference counting, RCU) along with a simple rules of thumb, thus gaining most of LKMM's power with less learning. And the full LKMM is always there when you need it!
Performance Budgets for the Real World by Tammy EvertsScyllaDB
Performance budgets have been around for more than ten years. Over those years, we’ve learned a lot about what works, what doesn’t, and what we need to improve. In this session, Tammy revisits old assumptions about performance budgets and offers some new best practices. Topics include:
• Understanding performance budgets vs. performance goals
• Aligning budgets with user experience
• Pros and cons of Core Web Vitals
• How to stay on top of your budgets to fight regressions
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Are you interested in learning about creating an attractive website? Here it is! Take part in the challenge that will broaden your knowledge about creating cool websites! Don't miss this opportunity, only in "Redesign Challenge"!
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/07/intels-approach-to-operationalizing-ai-in-the-manufacturing-sector-a-presentation-from-intel/
Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit.
AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is focused on developing tools and assets to help domain experts operationalize AI-based solutions in their fields of expertise.
In this talk, Thimmanaik explains how Intel’s software platforms simplify labor-intensive data upload, labeling, training, model optimization and retraining tasks. She shows how domain experts can quickly build vision models for a wide range of processes—detecting defective parts on a production line, reducing downtime on the factory floor, automating inventory management and other digitization and automation projects. And she introduces Intel-provided edge computing assets that empower faster localized insights and decisions, improving labor productivity through easy-to-use AI tools that democratize AI.
GDG Cloud Southlake #34: Neatsun Ziv: Automating AppsecJames Anderson
The lecture titled "Automating AppSec" delves into the critical challenges associated with manual application security (AppSec) processes and outlines strategic approaches for incorporating automation to enhance efficiency, accuracy, and scalability. The lecture is structured to highlight the inherent difficulties in traditional AppSec practices, emphasizing the labor-intensive triage of issues, the complexity of identifying responsible owners for security flaws, and the challenges of implementing security checks within CI/CD pipelines. Furthermore, it provides actionable insights on automating these processes to not only mitigate these pains but also to enable a more proactive and scalable security posture within development cycles.
The Pains of Manual AppSec:
This section will explore the time-consuming and error-prone nature of manually triaging security issues, including the difficulty of prioritizing vulnerabilities based on their actual risk to the organization. It will also discuss the challenges in determining ownership for remediation tasks, a process often complicated by cross-functional teams and microservices architectures. Additionally, the inefficiencies of manual checks within CI/CD gates will be examined, highlighting how they can delay deployments and introduce security risks.
Automating CI/CD Gates:
Here, the focus shifts to the automation of security within the CI/CD pipelines. The lecture will cover methods to seamlessly integrate security tools that automatically scan for vulnerabilities as part of the build process, thereby ensuring that security is a core component of the development lifecycle. Strategies for configuring automated gates that can block or flag builds based on the severity of detected issues will be discussed, ensuring that only secure code progresses through the pipeline.
Triaging Issues with Automation:
This segment addresses how automation can be leveraged to intelligently triage and prioritize security issues. It will cover technologies and methodologies for automatically assessing the context and potential impact of vulnerabilities, facilitating quicker and more accurate decision-making. The use of automated alerting and reporting mechanisms to ensure the right stakeholders are informed in a timely manner will also be discussed.
Identifying Ownership Automatically:
Automating the process of identifying who owns the responsibility for fixing specific security issues is critical for efficient remediation. This part of the lecture will explore tools and practices for mapping vulnerabilities to code owners, leveraging version control and project management tools.
Three Tips to Scale the Shift Left Program:
Finally, the lecture will offer three practical tips for organizations looking to scale their Shift Left security programs. These will include recommendations on fostering a security culture within development teams, employing DevSecOps principles to integrate security throughout the development
7 Most Powerful Solar Storms in the History of Earth.pdfEnterprise Wired
Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).
20240704 QFM023 Engineering Leadership Reading List June 2024
The Art of Metaprogramming in Java
1. The Art of Metaprogramming
in Java
Abdelmonaim Remani
@PolymathicCoder
2. About Me
Software Architect at Just.me Inc.
Interested in technology evangelism and enterprise software development and
architecture
Frequent speaker (JavaOne, JAX, OSCON, OREDEV, etc…)
Open-source advocate
President and founder of a number of user groups
- NorCal Java User Group
- The Silicon Valley Spring User Group
- The Silicon Valley Dart Meetup
Bio: http://about.me/PolymathicCoder
Twitter: @PolymathicCoder
Email: abdelmonaim.remani@gmail.com
3. About Me
Today is my birthday!
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4. License
Creative Commons Attribution Non-Commercial 3.0 Unported
- http://creativecommons.org/licenses/by-nc/3.0
Disclaimer: The graphics, logos, and trademarks used this presentation belong to
their rightful owners.
6. What Is Metadata?
The term “Metadata” was coined by Philip Bagley in 1986 in “Extension of
Programming Language Concepts”
Data about data or data that describes other data
- Structural (Before there is any data)
- Its type
- Its valid values
- How it relates to other data
- Its purpose
- Etc…
- Descriptive (After data is there)
- How it was created
- The context within which it exists
- Etc…
7. How Is Metadata Expressed?
Implicit
- Adhering to a certain convention
Explicit
- External to the code
- DSL (Domain-Specific Language)
- Markup: XML, RDF, etc…
- Etc…
- Internal to the code
- As comments on code
- Javadoc: @author, @version, @since, etc…
- XDoclet
- Etc…
- As code itself
- HTML meta tags: <meta name=“author” content=“Abdelmonaim Remani”>
- Java Annotations: @Override, @Deprecated, etc…
- Embedded DSL
- Etc…
8. How Is Metadata Being Used?
Schema
- Data Dictionary in RDBMS
- Check Constraints (JSR 303 Validation, Etc…)
- Etc…
Semantics
- WSDL (Web Services Description Language)
- RDF (Resource Description Framework)
- Etc…
Data Management
- Build/deployment instructions (.svn files, .git, etc…)
- Etc…
Configurations
Etc…
10. Java Annotations
JSR 175 (A Metadata Facility for the Java Programming Language)
- Introduced in J2SE 5.0 (September 30, 2004)
- Standardized how annotations are declared in Java code
An alternative way to Javadoc comments, externally as XML, etc…
- More readable
- Closer to the code
- Statically-typed
- Can be retained until runtime
12. Write Your Own
You need to tell the compiler how the annotation is to be treated
In java.lang.annotation package
- @Target
- The element type the annotation can be applied to
- ElememtType.ANNOTATION_TYPE
- ElememtType.CONSTRUCTOR
- ElememtType.FIELD
- ElememtType.LOCAL_VARIABLE
- ElememtType.METHOD
- ElememtType.PACKAGE
- ElememtType.PARAMETER
- ElememtType.TYPE
13. Write Your Own
In java.lang.annotation package
- @Retention
- RetentionPolicy.SOURCE
- Discarded by the compiler
- RetentionPolicy.CLASS
- Included in the class file but ignored the JVM. This is the default
- RetentionPolicy.RUNTINE
- Included in the class file and read by the JVM.
- @Documented
- Whether it should be shown in the javadoc or not
- @Inherited
- Allowed to be inherited by subclasses
14. Write Your Own
Attributes
- Carry additional metadata details
- May only be
- Primitives
- Enums
- Java.lang.String
- Java.lang.Class
- One-dimensional arrays of the above
- May have a default value
- No modifiers or parameters
16. Notes
Annotating a package
- Must create a file named package-info.java in the target package
- Note that “package-info” is not a valid Java identifier
- Most IDEs you will prevent you from creating a class name “package-info”
- Make sure you create it as a regular file with .java extension instead
18. What is Metaprogramming?
Writing programs that write or manipulate other programs or themselves based on
some metadata
Metaprogramming
-!= Generative/Automatic Programming
Ralph Johnson
- “It is about programming at the meta level, that is about changing your
interpreter or changing how code is compiled”
Black art and a Big-boy’s toy
An underused feature
Supported in many languages and across several platforms
The backbone of many of the most successful frameworks
19. How is Metaprogramming Supported?
Exposing the internals of the runtime/compiler as an API
Dynamic execution of expressions containing programming commands
- Code as Strings
- Code as a series if method calls
A program transformation system
- A description gets transformed it to a target language
- The compiler itself
- YACC takes in grammar, and produces C/C++ code containing yyparse()
- ANTLR (ANother Tool for Language Recognition)
20. Concepts
Metalanguage
- The language in which the metaprogram is written in
Object Language
- The language in which the target (produced) program is written in
Reflection or Reflexivity
- When metalanguage == object language
- No translation necessary
21. Usage in code
Static data that can be pre-computed or pre-generated at compile time
Eliminate boiler-plate
- Code that cannot be abstracted in functions for DRYness sake
- Think Aspects in AOP
- Stereotypes in Spring
- Etc…
- Code of common methods
- Getters/setters, toString(), hashCode(), equals(), etc…
Etc…
22. Benefits
In code
- Performance gain
- Flexibility
- Simplicity
- Etc…
Development
- Minimize the LOC to express a solution
- Productivity gain
- Reduced development time/efficiency
- Etc…
23. How to?
Many techniques focused on specific aspects of metaprogramming
No well-defined best practices
This presentation is an attempt to bring in some structure through defining a
process
- Defining the metadata
- Processing the metadata
- Metamodel construction
- Validating the metamodel
- Metamodel interpretation
27. At Runtime: JSR 175
JSR 175: A Metadata Facility for the Java Programming Language
- Defined the core reflection API for reading/accessing annotations on annotated
elements at runtime as long as their retention policy extends to the runtime
- Reflection
- Reading annotations is done in reference to the structure of the program
Libraries
- Reflections: http://code.google.com/p/reflections/
- FEST-Reflect: http://fest.easytesting.org/
- ReflectASM: http://code.google.com/p/reflectasm/
- Etc…
29. At Build Time: JSR 269
Mirror-Based Reflection
- Reflective capabilities are encapsulated in intermediary objects called mirrors
- Annotations are accessible through a processor API
In J2SE 5.0 didn’t standardize a processing API
- We used apt, a stand-alone tool, along with the Mirror API (com.sun.mirror)
30. At Build Time: JSR 269
In Java SE 6 (December 11, 2006)
- JSR 269: Pluggable Annotation Processing API
-http://docs.oracle.com/javase/6/docs/technotes/guides/javac/index.htm
- Leverages JSR 199 (Java Compiler API)
- Javax.tools
- Programmatically invoke javac
- Implements ServiceLoader interface of SPI (JSR 24 - ServiceProvider API))
- Provides the DiagnosticListener interface to allow listening for warnings and
error by the compiler
- Extends javac as a plug-in allowing to write custom annotation processors
- Seamless integration with javac
- Finds if there is an annotation registered to process a particular annotation
- Plugs it into the compiler
31. At Build Time: JSR 269
JSR 269 Defines 2 APIs
- Writing annotation processors and interacting with the processing environment
- Javax.annotation.processing
- Modeling the Java Programming Language
- Javax.lang.model
- Type declarations and types (Accommodates Generics)
33. Code
Implement javax.annotation.processing.Processor or extend
javax.annotation.processing.AbstractProcessor
- Process method
- Returns whether or not the annotations processed are claimed by the
processor. This determines whether other processors can further process
them or not
Configure the processor using annotations
- @SupportedAnnotationTypes
- Register the annotations to be processed with their full-qualified name.
Wildcats are supported as well
- @SupportedSourceVersion
- The Java version supported
- @SupportedOptions
- Register supported command-line options
34. Code
Annotation processor registration
- Javac command-line options
- -processor <processor classes>
- -proc:none or -proc:only. It is enabled by default
- -processorpath <annotation path>
- Leverage JSR 24 (ServiceProvider API) to automatically register processors
- Compile the processor with –proc:none and package it in a jar
- Include in META-INF/services a file named
javax.annotation.processing.Processor containing a text entry of the full-
qualified name of the processor class
- Optional: Multiple processor can be registered or ordered
35. Metadata Processing
Annotated elements might have nested annotated elements and so forth
Visitor Design Pattern
- Separation of annotation processing code from the object structure
37. What is a Metamodel?
Metadata is processed into a model that can be accessed programmatically
- Static
- Dynamic
A association of the data and its metadata
38. Static Metamodel
- A metamodel based on
- One all-knowing “god object” encapsulating all possible metadata values that
could be associated with the one annotated element
- Advantages
- Simple
- Statically typed
- Disadvantages
- Nulls all over
40. Dynamic Metamodel
Ravioli Code
- Metamodel is structured in small and loosely-coupled components
Decorator Design Pattern
- Annotated elements are decorated with annotations that bring in metadata
Advantages
- Flexible
Disadvantages
- Complex
43. Validation?
Ensuring the validity or correctness of semantics of the metamodel
- Verification that a set of constraints are satisfied
Compliance additional consistency constraints outside the Java language
specification
- Java only has @Target
Example
- Assuming that you are writing your own JSR 318 (Enterprise javabeans 3.1)
implementation
- You should not allow a POJO to be annotated with both @Statefull and
@Stateless
44. Constraint Satisfaction
This is anything but simple
- A Constraint Satisfaction Problem
- Can be resolved by multiple algorithms (Backtracking, Constrain reparation,
and local search)
- These algorithms are out of the scope of this presentation
46. Validating the Metamodel
The logical way (Logic Programming)
- Semantics are represented declaratively as predicates (Facts and Rules)
- Procedurally interpreted query resolution
- Constraint Logic Programming (An extension of Logic Programming)
- Used for digital circuit verification
• Prolog is King
- tuProlog: Implementation of the Prolog interpreter in Java
- http://alice.unibo.it/xwiki/bin/view/Tuprolog/
- Jlog: Implementation of the Prolog interpreter in Java
- http://jlogic.sourceforge.net/
- JPL: Java Interface to SWI Prolog
- http://www.swi-prolog.org/FAQ/Java.html
Yeah you’re gonna have to learn that
47. Validating the Metamodel
Clojure
- Lisp-like language on the JVM
- core.logic supports logic and constraint programming
Other
- Prova Rule Language
- http://www.prova.ws/
- Mercury
- http://www.mercury.csse.unimelb.edu.au/
48. Validating the Metamodel
Rules Engine
- Drools Expert
- A highly performance optimized rules engine
- Rules are written in mvel (A powerful expression language) or XML
- Integrates with Java collaborator POJOs
51. Transformations
ASM
- Small
- Fast
- Low-level
- Require a good understanding of byte-code and Java Language Spec
- Good documentation
- http://asm.ow2.org/
GCLIB
- Built on top of ASM
- High performance
- Issues with signed jars
- Dropped by Hibernate in favor of Javassist for lack of support and active
- http://cglib.sourceforge.net/
52. Transformations
Javassist
- Very easy to use
- Works with signed jars
- Good documentation
- Excellent Javadoc
- Adopted by hibernate
- Slower than GCLIB
- http://www.jboss.org/javassist/
53. Weaving in Cross-Cutting Concerns
OOP creates a hierarchical object model by nature
Certain things are not necessary a part of the application logic
- Logging
- Transactions
- Security
- Etc…
AOP (Aspect Oriented Programming)
- Code weaving
- Dynamic Proxies
54. Mapping
Map one object to another based on the metamodel
Example
- Dozer
- http://dozer.sourceforge.net/
- ORM Frameworks
55. Mapping
Metadata Row
Class
Metamodel
POJO
Class Mapper Creates Row
Instance
POJO
Instance
56. Other
Inversion of Control
- Dependency Injection (JSR 330)
Instrumentation
- Monitor and measure performance
- Diagnostics
- Trace info
- Etc…
Etc…
58. Metaprogramming in the Wild
Spring
- Lightweight POJO-based frameworks
- Non-invasiveness
- Stereotyping a class in lieu of inheritance to acquire behavior
- Arbitrary methods signature instead of overriding inherited ones
- Declarative configuration
- Dependency Injection
Rails
- Rapid Development
- Convention over configuration
- Active Record Pattern
Hibernate/JPA (JSR 317)
- ORM
Guice
Spring AOP
Etc…
59. Model-Driven Engineering
Philosophy
- In an application
- Artifacts that are good candidates for auto-generation
- Why?
- The architecture is defined by
- Making abstractions guided by the separation of concerns
- Most deal with the same concerns
- Avoid rediscovering the best approach every time
- Code generation, Scaffolding, etc…