GraphQL in Python
Explore GraphQL's rise, advantages over REST, and Python implementation. Learn about Strawberry, a new library simplifying GraphQL API creation using dataclasses.
The Story of Features Coming in Python 3.8 and Beyond
Explore upcoming Python 3.8 features and beyond, including new syntax, types, and optimization approaches. Gain insights into the development process and future directions of the language.
Advanced asyncio - Solving Real-world Production Problems
Explore advanced asyncio techniques for real-world production problems, covering graceful shutdowns, exception handling, testing, debugging, and profiling in Python's asynchronous programming.
Delta Chat, CFFI, pytest and All the Rust
Explore Delta Chat's decentralized messaging, Python testing with pytest, CFFI integration, and creating chat bots. Learn about interfacing Rust with Python and building powerful, versatile bots using IMAP/SMTP.
Code Quality in Python
Explore Python code quality tools, formatters, and best practices for cleaner, more efficient programming. Learn to balance zealous approaches with practical, reasonable solutions.
Configuring uWSGI for Production - The Defaults Are All Wrong
Optimizing uWSGI configuration for production: Learn best practices, avoid common pitfalls, and leverage powerful features to improve reliability and performance in distributed systems.
Status Quo of Virtual Environments
Explore the inner workings of Python virtual environments, their importance in dependency management, and how they function across different Python interpreters.
Running a Synchrotron on Open Source Python
Explore how open-source Python powers a synchrotron's complex software infrastructure, and discover potential applications for this advanced research facility in various scientific fields.
Evolving a Helper Script into a 180,000-Lines-of-Python-Code Project
Explore the evolution of a Python project from a simple script to a complex incident response framework, covering design decisions, challenges, and best practices in software development.
Software Patterns for Productive Teams
Strategies for enhancing team productivity in software development, addressing common challenges like merge conflicts, feature deadlocks, and communication issues in large Python/Django projects.
Look Ma, No HTTP!
Explore building dynamic, event-driven web applications using WebSocket and Socket.IO, eliminating HTTP for real-time, bidirectional communication between client and server.
The Agile Comedy - From Hell to Paradise
Explore Agile implementation challenges and successes through a Dante-inspired journey, offering insights on building happy, productive teams and delivering great products.
Tools of the Trade - The Making of a Code Editor
Explore the journey of creating Mu, a Python-based code editor, addressing challenges in cross-platform development, accessibility, and building an inclusive community for beginners and educators.
Python Performance - Past, Present and Future
Explore Python's performance evolution, optimization projects, and future prospects with insights on specialized lists, reference counting, and multiple interpreters.
The Story of Features Coming in Python 3.8 and Beyond
Explore upcoming Python 3.8 features and beyond, including new syntax, types, and optimization approaches. Gain insights into the development process and future directions of the language.
Enhancing Angklung Music Rehearsals with Python
Discover how Python algorithms optimize Angklung orchestras by analyzing sheet music and calculating ideal instrument distribution, enhancing traditional Indonesian music performances.
Downloading a Billion Files in Python
Explore efficient techniques for downloading massive file sets using Python, comparing multithreading, multiprocessing, and asyncio approaches with best practices and performance insights.
How We Run GraphQL APIs in Production on Our Kubernetes Cluster
Explore deploying and operating GraphQL APIs on Kubernetes, covering workflow, tools, and lessons learned from transitioning from REST APIs to containerized GraphQL services.
Code Review for Beginners and Experts - Tips & Tricks
Discover effective code review techniques for all skill levels. Learn to improve code quality, foster collaboration, and enhance software development practices through insightful tips and real-world experiences.
How to Read Code
Discover techniques for effectively reading and understanding code, enhancing your ability to write better software and become a more proficient programmer.
Google Cloud for Pythonistas
Explore Python runtimes, services, and tools on Google Cloud, including App Engine, Cloud Functions, and Cloud Run. Learn best practices for monitoring and debugging Python applications.