How to Become an Agile Company - Case Study
Insights on transforming a small Python business into a leading Agile company in Europe, focusing on effective development processes, team building, and growth strategies.
Sponsoring Open Source
Erfahren Sie, wie Sie Open-Source-Projekte erfolgreich sponsern und Ihre Führungskräfte von den Vorteilen überzeugen können.
Advanced Database Programming with Python
Explore advanced database programming with Python, covering locks, distributed transactions, and transaction isolation for robust production environments.
Probabilistic Programming in Python
Learn probabilistic programming in Python using PyMC3 for flexible statistical modeling, automated parameter estimation, and uncertainty quantification in data science and scientific research.
DevOps Risk Mitigation - Test Driven Infrastructure
Learn to apply Test Driven Development principles to infrastructure services, mitigating risks in DevOps environments and improving quality through automated testing of critical systems.
Antipatterns for Diversity
Exploring common mistakes in diversity efforts and strategies to overcome them, focusing on tech industry practices that hinder inclusivity and proposing actionable solutions for improvement.
Python Microservices on PaaS Done Right
Learn to design, implement, and deploy robust Python microservices on PaaS platforms. Explore infrastructure setup, real-time metrics, Python's advantages, and performance comparisons.
Lessons Learned with Asyncio - Look Ma, I Wrote a Distributed Hash Table
Explore asyncio for concurrent programming in Python, focusing on event loops, coroutines, futures, and networking. Learn through a distributed hash table implementation example.
FOSS DOCS 101 - Keep It Simple, Present
Learn essential principles of technical communication for open-source projects, covering tone, style, process management, structure, and contribution workflows to improve documentation and user experience.
How-To - Build a Local Python Community
Practical guide on starting and growing a local Python community, covering resources, expectations, and strategies for success. Ideal for enthusiasts wanting to foster a tech community.
Everyone Can Do Data Science in Python
Learn essential data science techniques using Python, numpy, pandas, and sklearn. Explore real-world use cases with code snippets and live demos in IPython notebooks.
Metrics-Driven Development
Discover how Spotify's team improved performance through metrics-driven development, focusing on key indicators and establishing feedback loops for continuous improvement.
Come to the Dark Side! We Have a Whole Bunch of Cookiecutters!
Discover Cookiecutter: a powerful CLI tool for creating project templates. Learn to streamline your development process, create custom templates, and leverage community-driven resources.
Odoo - The Underdog Python Killer App - A Python Framework for Web Based Business Apps
Explore Odoo: a powerful Python framework for building web-based business applications, offering productivity advantages over popular alternatives like Django.
Better Asynchronous Code with Tornado and Python 3
Explore asynchronous programming with Tornado and Python 3.4's asyncio module. Learn about coroutines, futures, and ioloop concepts for efficient concurrent event-driven code in web development.
The Realities of Open Source Testing - Lessons Learned from Adopt Pytest Month
Lessons from "Adopt pytest month": Improving open source testing, community building, and gaining fresh perspectives. Insights on pairing pytest volunteers with projects and enhancing contributor engagement.
Learnt Lessons in a Big Django Project
Insights and lessons from a two-year Django project, covering technical and human aspects, with tips for managing large-scale web development challenges.
BDD - You’re Doing It Wrong
Discover common BDD implementation pitfalls and best practices for web-based big data management projects using Django, Python frameworks, and Selenium automation testing.
Deja de Pegarte con Tus Servicios; Import Lymph
Descubre cómo desarrollar servicios en Python con lymph, un framework que simplifica la integración y permite enfocarse en la funcionalidad, incluyendo descubrimiento de servicios y comunicación eficiente.
Lecciones aprendidas en un proyecto grande de Django
Experiencias y aprendizajes clave en el desarrollo de un gran proyecto Django durante dos años, abordando decisiones técnicas y humanas, aciertos, errores y consejos útiles.
What's the Fuzz All About - Randomized Data Generation for Robust Unit Testing
Explore randomized data generation for robust unit testing using the Hypothesis library in Python, enhancing test coverage and detecting potential bugs through dynamic testing approaches.