Python Idioms to Help You Write Good Code
Discover essential Python idioms for writing readable, maintainable, and extensible code, based on 20 years of experience in Python development.
Web Scraping Best Practices
Explore advanced web scraping techniques in Python, covering automated extraction, rendering pages, proxy management, and scalable crawl architecture for challenging real-world projects.
Nameko for Microservices
Explore microservices architecture and Nameko framework for building scalable, independently deployable services with clean code and well-defined boundaries. Learn design principles and practical implementation.
Dive into Scrapy
Explore advanced Scrapy techniques for web scraping, including project structure, interactive shell, item handling, and deployment strategies. Learn to avoid bans and optimize data extraction.
Python Not Recommended
Explore Python's role in a Ruby-centric environment, discussing its strengths, challenges, and evolving usage patterns in high-concurrency situations and data science applications.
Release Management with Devpi
Explore Devpi's versatile features for efficient Python package management, including sharing across teams, deploying binaries, and integrating open-source with proprietary packages.
Image Recognition and Camera Positioning with OpenCV - A Tourist Guide Application
Explore image recognition and camera positioning using OpenCV Python bindings for a tourist guide application, applied to recognizing paintings in museums.
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.
TDD for APIs
Explore test-driven development for APIs, focusing on validation, design improvement, and practical implementation in Django. Learn key principles and lessons from real-world projects.
It's About Time to Take Your Medication! - Or How to Write a Friendly Reminder Bot
Learn to create a friendly reminder chatbot using SleekXMPP and Google Hangouts API. Explore event-driven programming, OAuth2 authorization, and scheduled messaging for practical applications like medication reminders.
Todo es una trampa
Explorando las trampas en el desarrollo de software y cómo evitarlas mediante pruebas unitarias, arquitectura hexagonal y principios de código limpio.
Mashing Up Py.test, Coverage.py and Ast.py to Take TDD to a New Level
Explore a technique to significantly reduce test suite execution time by automatically selecting only affected tests, using a py.test plugin called "testmon" for faster and more efficient TDD.
The Butler and the Snake - Continuous Integration for Python
Explore effective Continuous Integration for Python projects, drawing insights from a large-scale open-source implementation. Learn key principles, tools, and best practices for automated testing and integration.
Using Git Hooks to Help Your Engineering Teams Work Autonomously
Learn how Zalando's engineering team uses Git hooks for autonomous and flexible work, including migrating from SVN, creating custom hooks with Python, and the open-source turnstile project for configurable local Git hooks.
It Works on My Machine - Writing Python Code for Any Environment
Learn techniques for writing Python code that works across different environments, versions, and operating systems. Gain insights from real-world examples and best practices for handling compatibility issues.
Python Gure Etxean - -Reboluzioa Atzo, Gaur Eta Bihar
Python erabileraren bilakaera CodeSyntax enpresan: script sinpleetatik Zope, Turbogears, Plone, Django eta Pyramid aplikazioetara, 15 urteko ibilbidean zehar.
Code Is Not Text - How Graph Technologies Can Help Us to Understand Our Code Better
Explore how treating code as graphs can revolutionize software development, improving understanding, quality, and automation in large projects.
Python and PyPy Performance - Not for Dummies
Explore Python and PyPy performance optimization techniques, JIT compilation, and tools for analyzing program efficiency with expert PyPy developers Antonio Cuni and Maciej Fijalkowski.
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.
Testing with Two Failure Seeking Missiles - Fuzzing and Property Based Testing
Explore advanced testing techniques using Hypothesis for property-based testing and American fuzzy lop for fuzzing, enhancing code coverage and uncovering hidden bugs in Python applications.