Leveraging Consistent Hashing in Your Python Applications
Explore consistent hashing in Python applications, from standalone design to optimized clustering, with practical use cases and implementation strategies.
How Facebook Uses Python to Build and Operate Datacenters at Scale
Explore Facebook's innovative use of Python for efficient datacenter construction and operation, covering infrastructure, engineering practices, and unique problem-solving approaches.
Django - From a Nightmare to a Dream with Best Practices
Discover best practices for refactoring legacy Django code, improving maintainability, and implementing tools for safer deployments and continuous integration.
Abstract Base Classes - A Smart Use of Metaclasses
Explore Python's Abstract Base Classes, from basic polymorphism to advanced metaclasses, enhancing your understanding of object-oriented programming and virtual inheritance.
Serverless Applications with Chalice
Explore serverless computing with Chalice, a Python microframework for AWS. Learn best practices, core features, and how to develop and maintain production-level serverless applications.
Using the Right Async Tool - Present Day
Explore asynchronous Python libraries for web development, comparing Twisted, Tornado, and AsyncIO to choose the right tool for various tasks, with live code examples and practical insights.
OpenAPI Development with Python
Explore OpenAPI development with Python, covering basics, ecosystem, tools, and real-world applications. Gain practical insights for efficient API creation and management.
Django and GraphQL
Explore GraphQL as a modern alternative to REST APIs for communication between backend and frontend in web development, with a focus on Django implementation.
Infrastructure as Python Code - Run Your Services on Microsoft Azure
Explore Azure cloud deployment options for Python services using Infrastructure-as-Code principles, including Azure Resource Manager Templates, Azure SDK, and Ansible Module, with insights on avoiding pitfalls.
Get Over the Boundaries Between Client and Server in Web App Development
Explore unified web app development, blending client and server roles using async/reactive processing, websockets, and Python for both sides. Learn innovative techniques to streamline your workflow.
Running Python Code in Parallel and Asynchronously
Explore parallel and asynchronous Python execution, covering GIL, threads vs. processes, implementation techniques, potential pitfalls, and practical applications in web development contexts.
CyberSecurity.bootcamp
Explore cybersecurity essentials for Python applications, covering threat modeling, attack vectors, security testing, and best practices to protect your servers from malicious threats.
PostgreSQL and Python - A Match Made in Heaven
Explore the powerful synergy between PostgreSQL and Python for robust database solutions. Learn how these open-source technologies complement each other in real-world applications.
You Need More Security in Your Application Packaging
Explore secure application packaging methods, focusing on Python, to balance ease of installation with robust security measures for different environments and audiences.
Discovering Descriptors
Explore Python's descriptors interface for cleaner, maintainable code. Learn to write and apply descriptors, with real-world examples from popular libraries.
Writing Beautiful Code
Discover techniques for crafting elegant, readable Python code. Learn to choose meaningful names, structure logic effectively, and write clear comments for improved maintainability and understanding.
Why You Might Want to Go Async
Explore asynchronous programming in Python: its concepts, implementation, and benefits. Learn when and how to use async for improved performance in IO-bound applications.
Making Games with Python - Mission Impossible?
Explore Python's potential in game development, comparing frameworks like Pygame and OpenGL, and discussing its role in asset pipelines, data integration, and commercial game production.
How SAP is Using Python to Test Its Database SAP HANA
Insights into SAP's large-scale Python-based testing infrastructure for SAP HANA, covering scaling challenges, optimizations, and the use of Linux Containers for improved automated testing and quality assurance.
Programming in Parallel with Threads
Optimizing scientific simulations using threads for parallel processing, achieving significant speedup by leveraging IO tasks and multi-core CPUs.
Teeing up Python - Code Golf
Explore Python code golfing techniques to write concise, readable, and Pythonic code. Learn about default values, tuples, comprehensions, functional programming, and context managers.