From Project to Productionized on Heroku
Learn to deploy Django apps on Heroku: from development to production. Covers 12 Factor apps, configuration, collaboration, debugging, and essential Heroku tools for a smooth deployment process.
Deploying Python at Scale with Dask
Explore scaling Python with Dask on distributed systems, focusing on deployment challenges and solutions for cluster resource managers like Kubernetes, Yarn, and cloud platforms.
Python Packaging Demystified
Hands-on tutorial demystifying Python packaging, covering libraries and applications, build tools, distribution formats, and testing techniques for both beginners and experienced developers.
CI-CD 101
Hands-on introduction to CI/CD fundamentals using CircleCI. Learn core principles, build configuration, code commits, testing, and packaging through practical exercises.
CHARLAS - Tracing Distribuido con OpenTelemetry
Explora el tracing distribuido con OpenTelemetry: conceptos, instrumentación automática y demostración práctica para monitorear sistemas distribuidos eficientemente.
Dock Your Jupyter Notebook
Learn to containerize Jupyter Notebooks with Docker for reproducible and shareable machine learning projects, enabling smooth execution on remote machines.
Open Source on Easy Mode
Streamline open source project maintenance with automation tools and best practices for packaging, testing, CI/CD, documentation, and community engagement. Focus on the fun parts of development.
Best Practices for Continuous Integration in Python
Explore best practices for Python continuous integration, focusing on timely and accurate developer feedback across various CI systems. Learn to optimize configurations for speed and precision.
Bootstrapping Your Local Python Environment
Discover best practices for Python environment setup, including proper installation, version management with pyenv, and essential add-ons for repeatable and efficient development workflows.
Localize Your Open Source Documentation - A Kubernetes Case Study
Scaling open source documentation localization: Kubernetes' journey from zero to eleven languages, covering tools, workflows, standards, and community conduct for successful project localization.
Documenting Your Code From Docstrings to Automated Builds
Learn to create effective documentation, from docstrings to automated builds. Explore best practices, tools like Sphinx and JupyterBook, and automate with GitHub Actions for maintainable, user-friendly project documentation.
Supercharging Pipeline Efficiency with ML Performance Prediction
Optimizing data pipeline efficiency using machine learning to predict task duration and resource requirements, enabling dynamic queue allocation and autoscaling for improved performance and cost-effectiveness.
Too Big for DAG Factories?
Learn to scale data workflows using Apache Airflow, covering dynamic DAG generation, automation, and best practices for managing big data pipelines. Suitable for beginners and intermediate developers.
Orcha - Procesamiento Masivo Paralelo - MPP y Diseño de APIs
Explora Orcha, una herramienta de orquestación para paralelizar pruebas de forma masiva, optimizando recursos y reduciendo tiempos de ejecución en entornos de desarrollo complejos.
Python Linters at Scale
Explore scaling Python linters for large codebases, improving developer experience, and automating fixes. Learn strategies for consistent configurations, faster runtimes, and effective observability.
Improving Debuggability of Complex Asyncio Applications
Explore advanced debugging techniques for complex asyncio applications, focusing on observability and reproducibility in production environments using aiomonitor-ng.
Jaguares y Serpientes
Uso de Python y ArcPy para analizar datos de telemetría en la conservación de jaguares, combinando tecnología y ecología para entender y proteger esta especie.
Using Python to Power Serverless Applications
Explore best practices for building serverless solutions with Python, focusing on API calls, streaming data, and ML inference. Learn techniques for production-grade systems with observability.
Accelerate Your Workflow from Local Python Prototype to the Cloud
Streamline Python app deployment from local to cloud with CLI templates. Scaffold, provision, deploy, monitor, and set up CI/CD pipeline efficiently, saving time on infrastructure setup and configuration.
How to Monitor and Troubleshoot Applications Using OpenTelemetry
Explore OpenTelemetry for efficient application monitoring and troubleshooting. Learn to detect issues, track performance, and enhance observability in cloud-based environments using this open-source protocol.
How to Troubleshoot and Monitor Applications Using OpenTelemetry
Learn to instrument, monitor, and troubleshoot Python applications using OpenTelemetry. Gain hands-on experience with traces, metrics, and logs for improved observability and faster issue resolution.