Kung Fu at Dawn with Itertools
Discover advanced Python programming with itertools. Learn elegant iterator algebra for simpler, memory-efficient solutions. Practical examples showcase how to overhaul traditional code using powerful itertools functions.
APIs and Microservices With Go
Explore high-performance API development using Go, focusing on concurrency, resilience, and microservices architecture. Learn from real-world case studies and practical implementation strategies.
Protect Your Users with Circuit Breakers
Learn to implement Circuit Breakers in Python to protect users from service failures. Explore real-world examples and advanced techniques for gracefully handling subsystem issues in web services.
Writing Faster Python
Learn techniques to optimize Python code performance, including profiling, efficient data structures, and best practices for faster execution without compromising readability.
Building a Reasonably Popular Web Application for the First Time
Lessons learned scaling a SaaS web app: logging, monitoring, profiling, error handling, secrets management, scalability, database planning, feature testing, and code quality considerations.
Real Virtual Environments Without Virtualenv
Explore Docker as an alternative to virtualenv for creating isolated, immutable, and repeatable Python development environments, enhancing consistency from development to production.
What's the Point of Object Orientation?
Explore the fundamentals of Object Orientation, its underlying theory, and practical applications in Python. Gain insights to improve design decisions and maximize OO benefits.
Kung Fu al amanecer con itertools
Descubre el poder del módulo itertools en Python para programación avanzada. Aprende técnicas elegantes y eficientes para encadenar abstracciones y mejorar tu código con ejemplos prácticos.
Managing Technical Debt
Explore strategies to manage and prevent technical debt in software development, focusing on its impact, measurement, and mitigation techniques for improved code quality and project sustainability.
Building Service Interfaces with OpenAPI - Swagger
Learn to build and document service interfaces using OpenAPI/Swagger, exploring benefits, challenges, and best practices for implementation in large-scale production environments.
Clean Code in Python
Learn principles for writing clean, maintainable Python code. Explore technical debt, refactoring, unit testing, and coding guidelines to improve code quality and readability in your projects.
Ingesting 35 Million Hotel Images with Python in the Cloud
Learn to build a scalable image processing pipeline using Python and AWS to handle millions of hotel images, covering data ingestion, quality control, and optimization.
RESTful API - Best Practices
Learn best practices for designing RESTful APIs. Discover key principles, architectural constraints, and common mistakes to avoid. Create clean, safe, and efficient APIs that developers will love to work with.
TDD of Python Microservices
Learn to create Python microservices using Test-Driven Development. Explore service and contract testing with Docker and Swagger for robust, confident development in a microservices architecture.
Split Up! Fighting the Monolith
Strategies for breaking down monolithic applications into manageable components, addressing dependency challenges, and improving code flexibility and maintainability.
Test-Driven Code Search and Reuse Coming to Python with Pytest-Nodev
Explore test-driven reuse strategy and pytest-nodev, a search engine for Python code. Learn to efficiently find and reuse code based on behavior and semantics rather than keywords.
Python Profiling with Intel VTune Amplifier
Explore Python performance analysis using Intel® VTune™ Amplifier, a GUI tool for identifying bottlenecks, analyzing call stacks, and optimizing code efficiency in high-performance computing and machine learning applications.
Python Microservices
Explore Python microservices: core concepts, benefits, implementation options, and challenges. Learn to build scalable, maintainable web applications with practical code examples.
Monkey-Patching CPython with Ctypes to Conform to Party Doctrine
Explore CPython internals by modifying integer addition at runtime using only Python and ctypes. Gain insights into Python's data model, compilation, and execution process.
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.
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.