Juan Fran Martín Rodríguez

🧠 Are you interested in creating AI algorithms? Don't miss the new post from CTzens on #Medium! Ignasi ANDRES, Python Developer at Customertimes, has prepared a series of posts sharing how to create artificial intelligence algorithms and deploy them to #Kubernetes 👍 ✅ Read his second article and discuss a possible implementation of the algorithm in the comments 👉 https://bit.ly/4dGUqwA #customertimes #CTzens #ai #artificialintelligence #algorithms #machinelearning #automatedplanning #CustomertimesLATAM

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A big shoutout to our getindator, Mateusz Pytel! 🎉 He has added support for Python 3.11 to our Kedro Azure ML Pipelines plugin in the latest release. Mateusz, we’re lucky to have you in our team 🤝 https://lnkd.in/d-4M8MMY #getindata #datascience #mlops #kedro #python

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Interpreted C++ is that a thing by Javier Lopez-Gomez https://lnkd.in/dUYPtFT3 C++ is conceived to be a compiled language to build high-performance, low-latency, complex software. Therefore, it is naturally tied to a compile-link-execute cycle. However, under some circumstances it would be desirable to be able to interpret C++, especially during the early prototyping phase. Interactive prototyping, i.e. typing C++ code on a prompt or a Jupyter notebook and having the result of expression evaluation being printed back after the code was JIT'ed and executed is a reality. This talk introduces `cling` and `clang-repl`, two C++ interpreters (or more specifically, JIT compilers) based on clang and LLVM infrastructure. `cling` was developed mainly at CERN as part of the bigger ROOT project. `clang-repl` is the result of upstreaming the foundations of `cling` back to the clang project, where it can be more easily maintained in the long term. In summary, REPL (Read-Eval-Print-Loop) C++ interpretation is a reality and has been proved to be useful in many contexts.

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📽️ Now it's time to learn how to enhance your data-driven application using JSON Duality Views with Andres Almiray! Check the recording 👉 https://lnkd.in/dfuVxZ46 #voxxed #trieste #fvg #friuliveneziagiulia #event #software #conference #orm #json #dualityviews #datamarshalling

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Llama 3 is now available on Scout! Pair it with our Python interpreter and let Llama 3 write and execute your code! #RAG #LLM #AI #Productivity #llama3

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Our software project about recommender systems has been published by Authorea Preprints. You can access from https://lnkd.in/d9S7N9CF. Full implementation can be accessed from GitHub: https://lnkd.in/dqKpHzKF #SIRFTRADE #python #recommendersystems #collaborativefiltering #contentbasedfiltering #hybridfiltering

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In this session from the Spring I/O conference in Barcelona, our very own Mauricio (Salaboy) Salatino is joined by Thomas Vitale to showcase the powerful combination of #Dapr and #Java #SpringBoot to tackle the most common distributed application challenges. How do you ensure resilient interactions with external services? Is data consistency guaranteed even when transactions cross application boundaries? And most importantly, how can you simplify your develop experience while managing #complexity? All of these questions are answered in the recording: https://diagrid.ws/4aVn7Dt #Dapr #SpringBoot #CloudNative #DistributedSystems #DeveloperExperience #LiveCoding #OpenSource #ResilientApplications

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"At this point the biggest challenge was our database... We started looking for a new multi-master capable database with the criteria that we had to make sure that we stick to a relational database... after some internal research and POCs we narrowed it down to a new player in the database space called Yugabyte."💡 Check out this Paramount+ blog to discover how they deliver live experiences on a massive scale to a global audience with highly available, seamlessly scalable, YugabyteDB! https://hubs.la/Q02wGrWG0 #yugabytedb #geodistribution #HA #scale #streaming #multimaster #relationaldatabase #database

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"At this point the biggest challenge was our database... We started looking for a new multi-master capable database with the criteria that we had to make sure that we stick to a relational database... after some internal research and POCs we narrowed it down to a new player in the database space called Yugabyte."💡 Check out this Paramount+ blog to discover how they deliver live experiences on a massive scale to a global audience with highly available, seamlessly scalable, YugabyteDB! https://hubs.la/Q02Fc-Km0 #yugabytedb #geodistribution #HA #scale #streaming #multimaster #relationaldatabase #database

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⭐ 1800 stars and counting ... ⭐ Check out our new GitHub landing page for the best overview of our open-source activities! https://lnkd.in/eawnSYEn We are more than happy that our code repositories on GitHub have already had an impact in the open-source community, backed by the growing number of stars, forks, issues, and pull requests our repositories are getting. We strongly believe in the importance of open-sourcing software. Code makes our research verifiable and reproducible. Further, we want to accelerate progress by contributing high-quality, maintained software tools mirroring our own utilization of resources from the open-source community. #foss #opensource #github

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🐍 Dive into the world of Python frameworks! Whether you're new to web development or looking to streamline your projects, #Pythonframeworks like Django and Flask are your go-to tools. Learn how to choose the right framework, enhance team collaboration, and build robust web applications effortlessly with Mario Alejandro Manzano. Watch our latest video to master #Python frameworks and elevate your development game! 🎥 Watch now: https://lnkd.in/e6JAHs7h Don't miss out on expert tips and tricks; subscribe for more insights on crafting exceptional software! #webframeworks #pythonvideo #softwaredevelopment #pythonwebframeworks #webdevelopment

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BLOG POST: Our latest blog post by Paola Sánchez summarizes how Generative AI Transforms Data Orchestration. Don't miss out and click on the link below to learn more about it! https://lnkd.in/dv6h6cnX

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🚀 Unlock Your Code's Potential with GitHub Copilot! 🚀 Do you like polls and questionnaires? 🖊Take our internal questionnaire and see if GitHub Copilot is the perfect AI assistant for you: 1️⃣ Did you know that according to IBM research, the average developer writes 12 lines of code per day? Do you think you will write more? – 1 point 2️⃣ Do the bellies of your fingers hurt from constantly "typing into the keyboard"? – 2 points 3️⃣ Are you tired of writing repetitive code all the time, such as unit tests, but want to deliver it? – 2 points 4️⃣ Sometimes you come across a simple task that everyone has already written, but not you, and your head hurts just thinking about it? – 2 points 5️⃣ Are you new to the project and slowly absorbing coding style? – 1 point ✔ ✔ ✔ If you scored at least 3 points, it's time to try GitHub Copilot! This unique, wonderful, and sometimes even magical AI tool can transform your coding experience. (Or explore another AI assistant, like the one from Czech-based JetBrains, which we also discuss in our blog.) 👉 Read more about how GitHub Copilot can revolutionize your coding process on our blog! Link to blog post from our Tech Lead Jiří Ludvík in the comments below. #AI #GithubCopilot #CodingAssistant #WriteDocumentation #CodeCompletion #ExplainCode #WriteUnitTests #FindProblemsInCode #CopilotChat

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