Zend Framework 2 : Dependency Injection
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This document discusses dependency injection in Zend Framework 2. It defines dependency injection as components being given their dependencies through constructors, methods, or directly into fields. It provides examples of constructor injection, setter injection, and interface injection in PHP code. It also shows how Zend Framework's dependency injection component can be used to configure dependency injection and resolve dependencies and examples of using the setter method for dependency injection.
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GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdfPriyanka Aash GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now
WebdriverIO & JavaScript: The Perfect Duo for Web Automation
WebdriverIO & JavaScript: The Perfect Duo for Web Automationdigitaljignect In today’s dynamic digital landscape, ensuring the quality and dependability of web applications is essential. While Selenium has been a longstanding solution for automating browser tasks, the integration of WebdriverIO (WDIO) with Selenium and JavaScript marks a significant advancement in automation testing. WDIO enhances the testing process by offering a robust interface that improves test creation, execution, and management. This amalgamation capitalizes on the strengths of both tools, leveraging Selenium’s broad browser support and WDIO’s modern, efficient approach to test automation. As automation testing becomes increasingly vital for faster development cycles and superior software releases, WDIO emerges as a versatile framework, particularly potent when paired with JavaScript, making it a preferred choice for contemporary testing teams.
From Manual to Auto Searching- FME in the Driver's Seat
From Manual to Auto Searching- FME in the Driver's SeatSafe Software Finding a specific car online can be a time-consuming task, especially when checking multiple dealer websites. A few years ago, I faced this exact problem while searching for a particular vehicle in New Zealand. The local classified platform, Trade Me (similar to eBay), wasn’t yielding any results, so I expanded my search to second-hand dealer sites—only to realise that periodically checking each one was going to be tedious. That’s when I noticed something interesting: many of these websites used the same platform to manage their inventories. Recognising this, I reverse-engineered the platform’s structure and built an FME workspace that automated the search process for me. By integrating API calls and setting up periodic checks, I received real-time email alerts when matching cars were listed. In this presentation, I’ll walk through how I used FME to save hours of manual searching by creating a custom car-finding automation system. While FME can’t buy a car for you—yet—it can certainly help you find the one you’re after!
Coordinated Disclosure for ML - What's Different and What's the Same.pdf
Coordinated Disclosure for ML - What's Different and What's the Same.pdfPriyanka Aash Coordinated Disclosure for ML - What's Different and What's the Same
AI Agents and FME: A How-to Guide on Generating Synthetic Metadata
AI Agents and FME: A How-to Guide on Generating Synthetic MetadataSafe Software In the world of AI agents, semantics is king. Good metadata is thus essential in an organization's AI readiness checklist. But how do we keep up with the massive influx of new data? In this talk we go over the tips and tricks in generating synthetic metadata for the consumption of human users and AI agents alike.
Quantum AI Discoveries: Fractal Patterns Consciousness and Cyclical Universes
Quantum AI Discoveries: Fractal Patterns Consciousness and Cyclical UniversesSaikat Basu Embark on a cosmic journey exploring the intersection of quantum
computing, consciousness, and ancient wisdom. Together we'll uncover the
recursive patterns that bind our reality.
Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdf
Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdfcaoyixuan2019 A presentation at Internetware 2025.
"Scaling in space and time with Temporal", Andriy Lupa.pdf
"Scaling in space and time with Temporal", Andriy Lupa.pdfFwdays Design patterns like Event Sourcing and Event Streaming have long become standards for building real-time analytics systems. However, when the system load becomes nonlinear with fast and often unpredictable spikes, it's crucial to respond quickly in order not to lose real-time operating itself.
In this talk, I’ll share my experience implementing and using a tool like Temporal.io. We'll explore the evolution of our system for maintaining real-time report generation and discuss how we use Temporal both for short-lived pipelines and long-running background tasks.
You are not excused! How to avoid security blind spots on the way to production
You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante We live in an ever evolving landscape for cyber threats creating security risk for your production systems. Mitigating these risks requires participation throughout all stages from development through production delivery - and by every role including architects, developers QA and DevOps engineers, product owners and leadership. No one is excused! This session will cover examples of common mistakes or missed opportunities that can lead to vulnerabilities in production - and ways to do better throughout the development lifecycle.
Enhance GitHub Copilot using MCP - Enterprise version.pdf
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The Future of Technology: 2025-2125 by Saikat Basu.pdf
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Lessons Learned from Developing Secure AI Workflows.pdf
Lessons Learned from Developing Secure AI Workflows.pdfPriyanka Aash Lessons Learned from Developing Secure AI Workflows
Salesforce Summer '25 Release Frenchgathering.pptx.pdf
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“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation...
“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation...Edge AI and Vision Alliance For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/mpu-a-transformative-solution-for-next-gen-ai-at-the-edge-a-presentation-from-fotonation/
Petronel Bigioi, CEO of FotoNation, presents the “MPU+: A Transformative Solution for Next-Gen AI at the Edge” tutorial at the May 2025 Embedded Vision Summit.
In this talk, Bigioi introduces MPU+, a novel programmable, customizable low-power platform for real-time, localized intelligence at the edge. The platform includes an AI-augmented image signal processor that enables leading image and video quality.
In addition, it integrates ultra-low-power object and motion detection capabilities to enable always-on computer vision. A programmable neural processor provides flexibility to efficiently implement new neural networks. And additional specialized engines facilitate image stabilization and audio enhancements.
OpenACC and Open Hackathons Monthly Highlights June 2025
OpenACC and Open Hackathons Monthly Highlights June 2025OpenACC The OpenACC organization focuses on enhancing parallel computing skills and advancing interoperability in scientific applications through hackathons and training. The upcoming 2025 Open Accelerated Computing Summit (OACS) aims to explore the convergence of AI and HPC in scientific computing and foster knowledge sharing. This year's OACS welcomes talk submissions from a variety of topics, from Using Standard Language Parallelism to Computer Vision Applications. The document also highlights several open hackathons, a call to apply for NVIDIA Academic Grant Program and resources for optimizing scientific applications using OpenACC directives.
Curietech AI in action - Accelerate MuleSoft development
Curietech AI in action - Accelerate MuleSoft developmentshyamraj55 CurieTech AI in Action – Accelerate MuleSoft Development
Overview:
This presentation demonstrates how CurieTech AI’s purpose-built agents empower MuleSoft developers to create integration workflows faster, more accurately, and with less manual effort
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Key Highlights:
Dedicated AI agents for every stage: Coding, Testing (MUnit), Documentation, Code Review, and Migration
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DataWeave automation: Generate mappings from tables or samples—95%+ complete within minutes
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Integration flow generation: Auto-create Mule flows based on specifications—speeds up boilerplate development
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Efficient code reviews: Gain intelligent feedback on flows, patterns, and error handling
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Test & documentation automation: Auto-generate MUnit test cases, sample data, and detailed docs from code
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Why Now?
Achieve 10× productivity gains, slashing development time from hours to minutes
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Maintain high accuracy with code quality matching or exceeding manual efforts
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Ideal for developers, architects, and teams wanting to scale MuleSoft projects with AI efficiency
Conclusion:
CurieTech AI transforms MuleSoft development into an AI-accelerated workflow—letting you focus on innovation, not repetition.
The Future of Product Management in AI ERA.pdf
The Future of Product Management in AI ERA.pdfAlyona Owens Hi, I’m Aly Owens, I have a special pleasure to stand here as over a decade ago I graduated from CityU as an international student with an MBA program. I enjoyed the diversity of the school, ability to work and study, the network that came with being here, and of course the price tag for students here has always been more affordable than most around.
Since then I have worked for major corporations like T-Mobile and Microsoft and many more, and I have founded a startup. I've also been teaching product management to ensure my students save time and money to get to the same level as me faster avoiding popular mistakes. Today as I’ve transitioned to teaching and focusing on the startup, I hear everybody being concerned about Ai stealing their jobs… We’ll talk about it shortly.
But before that, I want to take you back to 1997. One of my favorite movies is “Fifth Element”. It wowed me with futuristic predictions when I was a kid and I’m impressed by the number of these predictions that have already come true. Self-driving cars, video calls and smart TV, personalized ads and identity scanning. Sci-fi movies and books gave us many ideas and some are being implemented as we speak. But we often get ahead of ourselves:
Flying cars,Colonized planets, Human-like AI: not yet, Time travel, Mind-machine neural interfaces for everyone: Only in experimental stages (e.g. Neuralink).
Cyberpunk dystopias: Some vibes (neon signs + inequality + surveillance), but not total dystopia (thankfully).
On the bright side, we predict that the working hours should drop as Ai becomes our helper and there shouldn’t be a need to work 8 hours/day. Nobody knows for sure but we can require that from legislation. Instead of waiting to see what the government and billionaires come up with, I say we should design our own future.
So, we as humans, when we don’t know something - fear takes over. The same thing happened during the industrial revolution. In the Industrial Era, machines didn’t steal jobs—they transformed them but people were scared about their jobs. The AI era is making similar changes except it feels like robots will take the center stage instead of a human. First off, even when it comes to the hottest space in the military - drones, Ai does a fraction of work. AI algorithms enable real-time decision-making, obstacle avoidance, and mission optimization making drones far more autonomous and capable than traditional remote-controlled aircraft. Key technologies include computer vision for object detection, GPS-enhanced navigation, and neural networks for learning and adaptation. But guess what? There are only 2 companies right now that utilize Ai in drones to make autonomous decisions - Skydio and DJI.
Raman Bhaumik - Passionate Tech Enthusiast
Raman Bhaumik - Passionate Tech EnthusiastRaman Bhaumik A Junior Software Developer with a flair for innovation, Raman Bhaumik excels in delivering scalable web solutions. With three years of experience and a solid foundation in Java, Python, JavaScript, and SQL, she has streamlined task tracking by 20% and improved application stability.
You are not excused! How to avoid security blind spots on the way to production
You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante
“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation...
“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation...Edge AI and Vision Alliance
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Zend Framework 2 : Dependency Injection
- 1. ZEND FRAMEWORK 2 DEPENDENCY INJECTION h#p://slideshare.net/samsonasik
- 2. Abdul Malik Ikhsan a.k.a samsonasik ~ Zend Framework specialist ~ Codeigniter Mentor On twi#er @samsonasik Blog h#p://samsonasik.wordpress.com
- 3. Apa sih “DI” itu ?
- 4. « Dependency InjecGon is where components are given their dependencies through their constructors, methods, or directly into fields. » h#p://www.picocontainer.org/injecGon.html h#p://www.slideshare.net/fabpot/dependency-‐injecGon
- 5. -‐ DEPENDENCY INJECTION TERJADI KETIKA KOMPONEN SOFTWARE ( DALAM HAL INI, KELAS ) DEPENDENSINYA DIBERIKAN MELALUI KONSTRUKTOR MEREKA, METHOD, ATAU LANGSUNG KE FIELDS
- 6. => PASSING ATAU SETTING DEPENDENCY KE DALAM KOMPONEN SOFTWARE => JIKA SEBUAH KELAS TIDAK DAPAT MELAKUKAN PEKERJAANNYA TANPA DEPENDENCY, MAKA TERJADILAH DEPENDENCY INJECTION
- 7. -‐ CONSTRUCTOR INJECTION -‐ SETTER INJECTION -‐ INTERFACE INJECTION
- 8. CONSTRUCTOR INJECTION class Kalimat { protected $filterstring; public funcGon __construct(FilterString $filterstring ) { $this-‐>filterstring = $filterstring ; } }
- 9. SETTER INJECTION class Kalimat { protected $filterstring; public funcGon setFilterString(FilterString $filterstring ) { $this-‐>filterstring = $filterstring ; } }
- 10. INTERFACE INJECTION interface Kalimat { public funcGon setFilter(FilterString $filterstring); }
- 11. 2 KELAS ( SAMPLE )….
- 12. <?php class FilterString { protected $str; public funcGon __construct($str) { $this-‐>str = ucfirst( str_replace(" ","_", $str) ); } public funcGon get() { return $this-‐>str; } }
- 13. <?php class Kalimat { protected $filterstring; public funcGon __construct(FilterString $filterstring) { $this-‐>filterstring = $filterstring; } public funcGon out() { echo 'ouGng .... -‐> '; echo $this-‐>filterstring-‐>get(); } }
- 14. TANPA ZENDDI <?php $filter = new FilterString('saya sedang membaca'); $kalimat = new Kalimat($filter); $kalimat-‐>out();
- 15. KITA BUTUH CONTAINER !!! -‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐ /* MENYIMPAN OBJECT DEFINITION DAN ENVIRONMENT, MENG-‐HANDLE PENCIPTAAN OBJECT */
- 16. ZEND FRAMEWORK MEMPUNYAI ( DEPENDENCY INJECTION COMPONENT )
- 17. <?php $di = new ZendDiDi; $di-‐>instanceManager() -‐>setParameters('FilterString', array( 'str' => 'saya sedang membaca’ )); $kalimat = $di-‐>get('Kalimat'); //contains FilterString ! $kalimat-‐>out();
- 19. …………… public funcGon setFilterString(FilterString $filterstring) { $this-‐>filterstring = $filterstring; }
- 20. $di = new ZendDiDi(); $di-‐>configure(new ZendDiConfiguraGon(array( 'definiGon' => array( 'class' => array( 'Kalimat' => array( 'setFilterString' => array('required' => true) ) ) ) ))); $kalimat = $di-‐>get('Kalimat', array( 'str'=>'saya sedang membaca' ) ); $kalimat-‐>out();
- 21. TERIMA KASIH ;)
- 22. Referensi : • h#p://www.picocontainer.org/injecGon.html • h#p://www.slideshare.net/fabpot/dependency-‐ injecGon • h#p://mwop.net/slides/2011-‐10-‐18-‐Zf2-‐Overview/ Zf2Overview.html#slide15 • h#p://akrabat.com/zend-‐framework-‐2/an-‐ introducGon-‐to-‐zenddi/ Foto : • h#p://www.as3dp.com/wp-‐content/uploads/ 2010/10/dependencyInjecGon.png