Through the Lens of Haskell - Exploring New Ideas for Library Design
Explore Haskell's unique approach to library design, gaining insights to inspire innovative problem-solving in Python. Discover alternative perspectives for tackling common programming challenges.
The Hook-Based Plugin Architecture of Py.test
Explore py.test's flexible hook-based plugin system, enabling easy extensibility and powerful application design through defined extension points and hook functions.
A Pythonic Approach to Continuous Delivery
Explore a Pythonic approach to continuous delivery, bridging the gap between development and operations using open-source tools like Ansible, Devpi, and Jenkins for efficient software deployment.
What Is Wrong with API Wrappers and How Can We Do Better
Explore API wrapper challenges and discover Tapioca, a wrapper generator that simplifies API interactions, promotes consistency, and enhances explorability for developers.
Argus - The Omniscient CI
Explore Argus, a powerful CI framework for scenario-based testing across platforms. Learn to create custom recipes, leverage introspection, and generate in-depth analysis logs for robust project testing.
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.
Easy FullStack Deployments
Learn to manage full-stack development lifecycle using Python technologies and Docker, from project creation with Pyramid to consistent deployment infrastructure with Buildout and containers.
Decorators Demystified
Unravel the magic behind Python decorators, exploring scopes, namespaces, and closures. Learn to craft your own decorators and understand the '@' symbol's inner workings in this intermediate-level talk.
Bringing PostgreSQL Towards Zero Downtime Migration with Python
Explore techniques for achieving near-zero downtime PostgreSQL migrations using Python and PostgreSQL 9.4 features like logical replication, suitable for large-scale databases with millions of records.
Machine Learning Under Test
Explore testing strategies for machine learning algorithms, focusing on code quality, domain-specific challenges, and practical implementation techniques for more robust and reliable ML models.
Faking It - The Art of Testing Using Verified Fakes
Explore the concept of verified fakes in software testing, their benefits, and implementation techniques. Learn how to create reliable test environments and improve code quality.
Python & Internet of Things
Explore Python's role in IoT, from powering embedded hardware to building end-to-end products. Learn about the possibilities and practical applications in this emerging field.
How You Can Benefit from Type Hints
Explore the benefits of Python type hints for improved code readability, documentation, and tool support. Learn practical examples and best practices for implementing type annotations in your projects.
Activity Map from Space - Supporting Mine Clearance with Python
Satellite image processing with Python to detect ground activities and create maps for efficient UXO removal in minefields, using numpy, scipy, gdal, and IPython Notebook.
Distributed Locks with Python and Redis
Learn to implement distributed locks using Python and Redis for concurrent programming in distributed systems, with insights from building a modern contact center.
Big Data with Python and Hadoop
Introduction to big data processing using Apache Hadoop and Python. Explores Hadoop concepts, infrastructure, Python implementations, and available libraries for efficient big data handling and job acceleration.
What It's Really Like Building RESTful APIs with Django
Explore real-world experiences and lessons learned in building modern RESTful APIs with Django and Django REST framework, focusing on design decisions, best practices, and practical implementation tips.
TDD - The Why, the How and the When Not
Explore the benefits, challenges, and best practices of Test-Driven Development (TDD) in Python, including when it may be ineffective or counterproductive.
12 Years of Pylint - Or How I Learned to Stop Worrying About Bugs
Explore Pylint's powerful static analysis capabilities for Python, from style checking to advanced bug detection and code understanding, with insights on its inner workings and future developments.
Sphinx Autodoc - Automated API Documentation
Learn to automate API documentation using Sphinx autodoc and related extensions. Discover techniques for efficient docstring writing, automated module listing, coverage checking, and doctest verification to create comprehensive Python library documentati…