Playing Tasks with Django-Celery
Explore asynchronous task processing in Django using Celery, enhancing application performance and scalability for efficient background job execution.
Practical Guide to Kill Optimization - Testing and Other SW Project Beasts
Practical guide for tackling software project challenges, focusing on optimization, testing, and best practices in Python development.
Behaviour Driven Development at BSkyB
Explore Behaviour Driven Development implementation at BSkyB, focusing on key benefits, challenges, and practical insights for effective software development.
Good Enough Is Good Enough
Explore the concept of "good enough" in software development, challenging perfectionism and advocating for pragmatic, effective solutions in real-world scenarios.
Celery and Social Networks - 5 Things I Have Learned During Earthquake Hackathon
Discover insights on using Celery for social networks and handling challenges in hackathons, focusing on rate limits, task management, and efficient data processing.
Taming Pythons with ZooKeeper
Explore ZooKeeper's role in distributed systems, focusing on its Python integration for coordination, configuration management, and leader election in scalable applications.
SimpleManagement - Come Semplificare la Gestione Progetti con Python
Scopri come semplificare la gestione dei progetti utilizzando Python con SimpleManagement. Impara tecniche efficaci per ottimizzare i processi e aumentare la produttività.
Tools for Successful Project Development
Discover essential tools and techniques for effective project development, enhancing productivity and collaboration in software engineering.
Take Back Control Over Your Work - Agile Tips For Python Developers
Discover Agile methodologies and practical tips for Python developers to enhance productivity and regain control over work processes, with insights on tools and project management techniques.
Very Large Development - How to Run Code Review for 800+ Open Source Python Developers
Discover effective code review strategies for large-scale open-source Python projects, focusing on OpenStack's practices, tools, and workflows for managing complex systems and numerous contributors.
Efficient Python Development with Small Teams
Strategies for efficient Python development in small teams, covering project coordination, team structure, communication, task management, and customer relations.
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.
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.
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.
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.
High Availability Scaling with Share Nothing Architecture
Explore high availability scaling using Share Nothing Architecture, covering automated systems, data distribution, and tools like Celery and Redis for worldwide performance and availability.
Pythonic Refactoring - Protecting Your Users From Change
Learn techniques for refactoring Python libraries while maintaining backward compatibility. Discover how to identify and protect public interfaces, use language features effectively, and manage breaking changes.
Bridging the Gap - From Data Science to Production
Explore strategies to overcome challenges in transitioning data science projects from concept to production, addressing technical, organizational, and quality assurance aspects for successful implementation.