
Explore quantitative foundations of ecology and evolution, covering code publishing, best practices, GitHub usage, and scientific publishing processes.

Explore merge queues as a solution to streamline CI/CD pipelines, improve developer productivity, and enhance software delivery processes.

Automate RPM package building, testing, and releases. Explore Packit's features for CI/CD integration with GitHub, GitLab, and Fedora. Learn about recent updates and future plans.

Explore Testing Farm, an open-source Testing System as a Service, and learn how it simplifies OS testing for RHEL, Fedora, and CentOS Stream through various integration points and unified testing methods.

Discover essential skills for successful open-source contributions beyond university education. Learn about tooling, soft skills, and writing maintainable code for real-world development.

Explore config-based development for LLMs, covering versioning, routing, and evaluation techniques to transition Generative AI apps from prototype to production efficiently.

Aprende a desplegar aplicaciones en GCP: clona repositorios, instala Docker, crea imágenes y sirve aplicaciones con StreamLit.

Build MLflow project pipelines for efficient machine learning workflows. Learn to create and execute data science pipelines using MLflow Projects.

Aprende a crear un Dockerfile, generar una imagen Docker y ejecutarla en este tutorial práctico sobre los fundamentos de Docker.

Create and use Langchain tools with OpenAI for data science and machine learning applications. Learn to integrate powerful AI capabilities into your projects.

Fine-tune Flan-T5 for sequence-to-sequence classification using MLflow. Learn advanced MLOps techniques for optimizing language models in data science projects.

Aprende a instalar y utilizar la CLI de Hugging Face Hub para gestionar modelos y datasets de aprendizaje automático de manera eficiente.

Discover strategies to identify and resolve common CI pipeline issues, enhancing team productivity and streamlining development processes.

Explore Everything-as-Code and GitOps practices for effective collaboration. Learn to design systems for quick GitOps implementation, focusing on infrastructure, observability, and permissions automation.

Explore the trade-offs between monolithic and microservices architectures from a Continuous Delivery perspective. Learn key considerations for effective software design and architecture.

Learn best practices for securing GitHub Actions workflows, avoiding static shared secrets, and implementing safer alternatives for CI/CD pipelines.

Learn to set up and manage GitHub Actions across multiple projects efficiently, with insights on starter actions, organization reports, and custom workflows for Java and Python repositories.

Explore CI/CD build and deploy automation techniques for efficient cloud-native development and streamlined software delivery pipelines.

Explore strategies to make DevOps more accessible and developer-friendly, enhancing collaboration and efficiency in software development teams.

Learn to build a Retrieval Augmented Generation (RAG) application from scratch using GitHub Models and PostgreSQL, enhancing AI model capabilities for smarter applications.

Explore an open-source project aiming to recreate Strawberry, with insights on LLM grading, data validation, and reasoning benchmarks.