Moving Big Projects to Python 3
Strategies for transitioning large Python projects to version 3, focusing on process management, team coordination, and overcoming common challenges in legacy codebases.
Tools for Maintaining an Open Source Python Project
Discover essential tools for open source Python project maintenance, covering packaging, testing, documentation, and community management. Enhance your development workflow and project sustainability.
Extending Python with Rust
Explore integrating Rust with Python for enhanced performance. Learn about libraries, demos, benchmarks, Docker setup, and CI/CD for mixed Rust/Python projects.
Social Distancing from Your System’s Dependencies - An API’s Story
Explore dependency isolation techniques in Python testing, their impact on API design, and how to structure tests for clarity and effectiveness using unittest.mock and pytest.
Full Stack Type Safety
Explore full-stack type safety in Python web projects, focusing on enforcing consistency between frontend and backend using REST/Swagger and GraphQL. Includes practical demos and discusses various design approaches.
Python in Prison - How Open Source Can Change a Criminal Justice System
Explore how Python and open-source technology can revolutionize the criminal justice system, addressing societal challenges and promoting positive change through innovative programming initiatives.
Effective Code Reviews
Discover the benefits and best practices of code reviews, enhancing product quality and team collaboration. Learn from real-world experiences to implement effective review processes in your organization.
Pluggable Architecture
Explore pluggable architecture principles through custom plugin system design. Learn interface creation, behavior integration, and testing techniques to extend third-party library functionality.
Deploy Your Machine Learning Bots Like a Boss with CI/CD
Learn to deploy machine learning chatbots using CI/CD, covering load balancing, testing, and model retraining. Gain practical insights for taking prototypes to production and iterating faster.
Attractive GUIs with PySimpleGUI
Learn to create attractive and functional GUIs with PySimpleGUI, bridging the gap between complex frameworks and limited design tools. Explore its design philosophy and practical applications.
Elegant Exception Handling
Discover effective techniques for elegant exception handling in Python, improving code readability and robustness while addressing common challenges and best practices.
Clean Architectures in Python
Explore clean architecture principles for Python, focusing on layer separation and internal APIs to create maintainable, testable, and loosely coupled systems.
Writing Extensions and Bindings for GPU Made Easy
Learn to optimize deep learning computations by writing custom C and CUDA extensions for GPU, with a focus on image search across billions of items and seamless integration with Python codebases.
Running Unit Test on Top of Serverless Service
Explore serverless architecture for unit testing, including parallelization approaches, implementation insights, and cost-benefit analysis for improved developer productivity.
The Hidden Power of the Python Runtime
Explore Python's hidden runtime events, frame objects, and powerful tools for inspecting program state during execution, enhancing your programming skills and debugging capabilities.
API-Schema-Based Testing with Schemathesis
Explore property-based API testing using schemathesis to automatically generate test scenarios from API schemas, enhancing test coverage and efficiency for web projects.
ScanAPI
Explore ScanAPI, an open-source tool for creating integration tests for REST APIs. Learn its motivations, problem-solving capabilities, implementation, and future developments.
Migrating Codebases with Millions of Modules from Python 2 to Python 3
Discover techniques and tools for migrating massive Python codebases from version 2 to 3, focusing on scoping, planning, execution at scale, and cross-team collaboration.
Tests That -Almost- Write Themselves
Explore Golden Master Testing for legacy systems and data processing programs. Learn techniques to implement, process outputs, and identify relevant differences in Python.
Advanced Infrastructure Management in Kubernetes Using Python
Explore automating Kubernetes infrastructure management using Python, focusing on creating a Celery Operator to streamline cluster setup, configuration, and autoscaling in production environments.
Writing Good Python
Learn tools and libraries for writing consistent, high-quality Python code. Explore PEP standards, linters, formatters, and security checkers. Discover integration methods for development workflows and build pipelines.