Wesley Joosten

🚀 The Power of Loose Coupling in Software Design 🚀 This morning, during our coffee break, we got into an interesting discussion about the challenges of working with two separate repositories — let’s call them Repo A and Repo B. Our data scientist Max Väistö shared with us: “I realized that the code I was writing in Repo A was starting to rely too much on the details inside Repo B, which was making things more complicated and harder to maintain. It reminded me of the importance of loose coupling in software design. By making sure Repo A interacts with Repo B through a simple, well-defined interface, we can avoid a lot of issues if Repo B changes. This way, everything stays more manageable, scalable, and future-proof." It’s a great reminder for any development project: keeping clean interfaces and reducing dependencies not only simplifies maintenance but also sets us up for faster growth in the future! #SoftwareDesign #CodingBestPractices #LooseCoupling #CleanCode #Scalability #SoftwareEngineering

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Science Cafe Nijmegen, September 16: THE QUANTUM INTERNET UNVEILED Exploring the next frontier in communication and computation. ‘Quantum’. You’ve heard the word. From Marvel’s Ant-man to Google’s claims of supremacy, ‘quantum’ seems synonymous to ‘magic’, and it is transforming our technology day by day. Today, quantum computers have been developed with various types of qubits and the next quantum revolution lies in connecting these globally through an entanglement-based network – that is, ‘the quantum internet’. Just as the classical internet fundamentally altered our lived reality, the quantum internet could change the world in ways we’ve yet to conceive of. Game-changing applications we are working towards today include quantum communication, secured by the laws of the universe, and powerful networked quantum computing. The age of quantum has arrived and it’s here to stay, which again begs the question: What does ‘quantum’ mean? For our computers? For our internet? For us? This evening, alongside riveting scientific discussion, Deltatune and Jeroen Glas will immerse us in their mesmerizing mix of glassware sound objects and lo-fi video, driven by home-crafted electronic leads and beats. Come join the launch of the new Science Café season! #quantum #computers #innovation #quantomscience #applications #quantumrevolution #lifeport #quantuminternet #sciencecafe #nijmegen

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Learn the basics of deep learning, including deep neural networks, data preparation, and convolutional layers during our (deep learning) workshop on 28-29 January in Amsterdam Science Park! https://buff.ly/3BZTMw6..

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I’m excited to be speaking at PyCon NL on October 10th at Jaarbeursplein! 🎤 I'll be diving into the power of functional programming and how it can transform your Python code. If you’ve been curious about how functional programming techniques can make your Python development smoother (and maybe even more fun), this talk is for you. If you're in the Netherlands, don’t miss it—see you there! 🇳🇱😉 https://pycon-nl.org/ #Python #FunctionalProgramming #PyCon #CleanCode #PyConNL #FPInPython

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in Pandas 2.2 one can set pyarrow as the default backend. in this presentation the advantages of arrow vs numpy are presented: 1. Faster string operations 2. Consistent missing value handling 3. Efficient data serialization Minute 24 https://lnkd.in/gbbGpR56

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As this year's PyData Einhoven is co-organized with JuliaCon 2024 it might be a good idea to brush up your Julia skills 😏 We've got just the talk for that, and even better, Joris K. shows you how you can use Julia as a backend for your Python packages to greatly improve performance 📈 Watch 'Building Fast Packages Faster: Julia as a Backend to Python and R' now: https://hubs.la/Q02s8Yt50

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Have you heard of Advent of Code? We are bringing together the Dutch research community on our leaderboard this year! AoC wizard Ewan Cahen reveals his best tips and tricks for AoC in this post! https://lnkd.in/gb5a_e7S

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🎤 "Many open-source projects are strongly reliant on the goodwill and availability of one person or a very small group of people." Read Sebastiaan Mathot's journey in developing 𝗢𝗽𝗲𝗻𝗦𝗲𝘀𝗮𝗺𝗲, a research software tool for building behavioral experiments 👉🏻https://lnkd.in/eRgjap7U #opensource #researchsoftware #sustainability

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Transform your PDF documents into dynamic knowledge graphs with Neo4j! Morgan Senechal and Niels de Jong gave a great live demo worth re-watching! More about Neo4j GenAI: https://bit.ly/3TmKsIQ #Neo4j #KnowledgeGraph #LLMs

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If you're using the AI field, and you're self-hosting Baserow or want to use your own API key, watch this walkthrough. Our co-founder and CEO, Bram Wiepjes, shows how to configure the generative AI settings in Baserow: https://bsrw.io/qKE6Mq 🪄

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We are happy to present the software 'metasyn'. Metasyn is a Python package designed to share a privacy-friendly, synthetic version of your dataset. In many cases, agencies or researchers would like to share their data. However, they can't, because it contains private or senstive information. Metasyn provides a solution: an easy way to create a synthetic version of the data. This synthetic version can be used to: - Prepare new analysis - Understand and try to reproduce code - Teaching And more. You can read more about how to use it in our last tutorial: https://lnkd.in/dcuWmM9v . In addition, there there's more information about the goals of Metasyn on this news item on Utrecht University website: https://lnkd.in/dzb2Q-8A ➡Don't forget to also check out the documentation ( https://lnkd.in/dEqfZaFh) and/or the source code (https://lnkd.in/d3GN45Ab)

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🤖 J.A.R.V.I.S. - Enterprise AI Development Assistant We are thrilled to announce J.A.R.V.I.S., a groundbreaking AI-powered development assistant that transforms how developers write, review, and maintain code. By combining multiple state-of-the-art language models, including DeepSeek Coder V3, Grok 2, Qwen 2.5 Coder, and Claude 3.5 Sonnet, J.A.R.V.I.S. delivers unprecedented coding assistance and productivity enhancements. 🧠 Core Features:       🔄 Multi-Model AI Support for diverse coding approaches       👥 Real-time collaborative coding with WebSocket technology       📄 Advanced file processing (PDF, Word, Excel, Images with OCR)       🗂️ Intelligent workspace management with version control       💡Context-aware code generation and suggestions ⚙ Technical Architecture: 🔙 Backend: Flask framework for API development Flask-SocketIO for real-time communication Eventlet for async operations SQLite database for data persistence 🎨Frontend: Pure JavaScript TailwindCSS for styling CodeMirror for code editing Socket.IO client for real-time notifications PDF.js for PDF processing Mammoth.js for Word documents XLSX.js for Excel files Tesseract.js for OCR Marked and Unified.js for Markdown 📈 Business Impact J.A.R.V.I.S. represents a significant advancement in developer productivity tools, combining enterprise-ready architecture with cutting-edge AI capabilities. Our solution enables development teams to accelerate code production while maintaining stringent quality standards. 🌟 The best part? It's open source! Check it out on GitHub: 🔗 https://lnkd.in/eR-gRJ3r Special thanks to Danilo Falcao da Silva for developing this innovative solution. Looking forward to seeing how this tool can enhance developer productivity and code quality. Let's connect if you're interested in contributing or learning more! #SoftwareDevelopment #AI #OpenSource #Innovation #TechCommunity #DeveloperTools

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🚀 Introducing Long Code Arena: Pioneering Benchmarks for Advanced Code Processing 🧠 ➡️ This suite of six benchmarks is a game-changer for evaluating Machine Learning for Software Engineering (ML4SE) models that require project-wide context. Developed by JetBrains Research and Delft University of Technology, this work addresses a crucial gap in the existing benchmarks by extending beyond single files to encompass entire projects. Why This Research Matters: ➡️ Project-wide Context: Unlike traditional benchmarks that focus on short snippets, Long Code Arena challenges models with tasks that necessitate understanding the broader context of an entire software project. ➡️ Diverse Code Processing Tasks: The benchmarks cover library-based code generation, CI builds repair, project-level code completion, commit message generation, bug localization, and module summarization, providing comprehensive testing grounds for ML4SE applications. Key Insights: ➡️ Enhanced Model Testing: Each benchmark is designed to test different aspects of code processing, from generating code that leverages library dependencies to summarizing entire modules, pushing the boundaries of what AI can understand and generate in software development contexts. ➡️ Open Source and Community-Driven: The benchmarks are not only a resource for researchers but also for the broader community, facilitating easier adoption and innovation with open-source baseline solutions and a collaborative leaderboard hosted on HuggingFace Spaces. What You Should Learn: ➡️ For developers, researchers, and technologists engaged in software engineering and AI, this paper provides invaluable insights into creating more sophisticated and context-aware ML systems. It's a call to leverage these benchmarks to test, refine, and advance your ML solutions. 🔥 Explore more cutting-edge strategies and network with top industry leaders at the DataHack Summit 2024. Join us in defining the new world order in Generative AI this August in Bengaluru: https://lnkd.in/gAsFp6w7 #analyticsvidhya #datascience #machinelearning #generativeai

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When invited to the Super Data Science Podcast, Ritchie Vink, author of Polars, mentioned an upcoming Polars book set to launch in January 2025: "Python Polars: The Definitive Guide" by Jeroen Janssens and Thijs Nieuwdorp. The official Github repository already has a lot of code examples that worth checking out: https://lnkd.in/dJGbwQnM The Early Release version can also be read on O'Reilly Learning platform: https://lnkd.in/daTEf8Tv The book is offering guidance for you to:  - Process larger-than-memory datasets at record speed - Apply the eager, lazy, and streaming APIs of Polars and decide when to use which - Transition smoothly from Pandas or Spark to Polars - Integrate Polars into your existing codebase - Work with Arrow and Parquet to efficiently read and write data - Translate complex ETL tasks into efficient and elegant queries I started reading the Early Release version and I am enjoying it so far. I am looking forward to the final version of the book. #Python #DataFrameLibrary #Polars

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Exciting times in #AI! Matthijs van der Veer explores how large language models (#LLMs) can unlock the full potential of your data. The article covers various applications, from simple prompting to advanced, data-integrated chatbots and autonomous agents. It also addresses challenges like knowledge cutoff and ensuring accuracy, offering innovative solutions like fine-tuning and Retrieval Augmented Generation (RAG). Dive into the full article to discover how to maximize your data's value with LLMs: https://lnkd.in/g-KhcJPw #Xebia #ArtificialIntelligence #MachineLearning #DataScience #LLMs

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✨ Happy to introduce UNLOOC partner Core Life Analytics. Founded in 2016, this Dutch company develops intuitive tools that enable researchers to easily analyze high-content screening experiments. Their cloud-based platform, StratoVerse®, aims to integrate image data management, processing, and a standardized numeric data analysis workflow, thereby helping researchers turn images into knowledge faster. #UNLOOC #UNLOOCChipsJU #OrganOnChips #EUProject #dataanalysis #imagedatamanagement

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My colleague Jeroen Overschie made me finally understand how you can feed relevant documents into a large language model to enhance its context and provide better information and how important a good, relevant search engine still is for this method. In short: if your search engine and the results it turns up are better, the quality of answers from the LLM will be better.

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🚀 Exciting developments in Large Language Models! Our latest blog post, written by Jeroen Overschie, discusses Retrieval Augmented Generation (RAG), a technique that transforms data access and reduces hallucinations. 🗝️ Key Insights: Level 1️⃣ - Basic RAG - Fundamentals of document retrieval and answer generation. Level 2️⃣ - Hybrid Search - Combining vector and keyword search for better accuracy. Level 3️⃣ - Advanced Data Formats - Handling complex formats like HTML, Word, and PDF. Level 4️⃣ - Multimodal Models - Using models that understand text, audio, and images. RAG is rapidly evolving in the industry. Whether you're a seasoned professional or just embarking on your journey, this post provides actionable steps for implementing RAG. ⛓️ Read more here: https://hubs.ly/Q02LptM40. #ai #machinelearning #rag #xebia

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