BDD - You’re Doing It Wrong
Discover common BDD implementation pitfalls and best practices for web-based big data management projects using Django, Python frameworks, and Selenium automation testing.
TDD for APIs
Explore test-driven development for APIs, focusing on validation, design improvement, and practical implementation in Django. Learn key principles and lessons from real-world projects.
Todo es una trampa
Explorando las trampas en el desarrollo de software y cómo evitarlas mediante pruebas unitarias, arquitectura hexagonal y principios de código limpio.
Mashing Up Py.test, Coverage.py and Ast.py to Take TDD to a New Level
Explore a technique to significantly reduce test suite execution time by automatically selecting only affected tests, using a py.test plugin called "testmon" for faster and more efficient TDD.
The Butler and the Snake - Continuous Integration for Python
Explore effective Continuous Integration for Python projects, drawing insights from a large-scale open-source implementation. Learn key principles, tools, and best practices for automated testing and integration.
It Works on My Machine - Writing Python Code for Any Environment
Learn techniques for writing Python code that works across different environments, versions, and operating systems. Gain insights from real-world examples and best practices for handling compatibility issues.
What's the Fuzz All About - Randomized Data Generation for Robust Unit Testing
Explore randomized data generation for robust unit testing using the Hypothesis library in Python, enhancing test coverage and detecting potential bugs through dynamic testing approaches.
Testing with Two Failure Seeking Missiles - Fuzzing and Property Based Testing
Explore advanced testing techniques using Hypothesis for property-based testing and American fuzzy lop for fuzzing, enhancing code coverage and uncovering hidden bugs in Python applications.
Publish Your Code So Others Can Use It in 5 Easy Steps
Learn to publish Python code effectively with tools like GitHub, Travis CI, and PyPI, enhancing usability and collaboration potential for your open-source projects.
The Gilectomy
Explore CPython's Global Interpreter Lock removal, its impact on performance, and potential solutions for multi-core utilization in this technical deep dive.
Managing Mocks
Explore effective mocking techniques in Python for improved unit testing. Learn to create, manipulate, and inspect mock objects, handle common scenarios, and maximize the unittest.mock library's potential.
What is the Best Full Text Search Engine for Python?
Explore and compare full text search engines for Python, including ElasticSearch, Postgres Full Text Search, Sphinx, and Whoosh. Gain insights on performance, features, and selection criteria.
Pytest 3.0
Explore new features, breaking changes, and improvements in pytest 3.0. Learn about fixture enhancements, tox integration, and outcomes from the developer sprint that shaped this major release.
Writing Unit Tests for C Code in Python
Learn to write Python unit tests for C code using CFFI and pycparser. Explore creating mock functions, handling dependencies, and overcoming challenges in mixing Python and C for efficient testing.
Beyond Scraping
Discover advanced techniques for extracting data from dynamic, JavaScript-driven websites using a client-server architecture with zeromq, selenium, and beautifulsoup. Streamline your web scraping process for efficiency and robustness.
Effectively Test Your Webapp with Python and Selenium
Learn efficient Selenium testing techniques for web applications using Python, exploring design approaches, technologies, and reporting tools for faster and more reliable test suites.
Python Descriptors for Better Data Structures
Explore Python descriptors for creating better data structures, inspired by Django models. Learn to improve code readability, implement efficient validation, and enhance declarative programming techniques.
Hacking Ético con Herramientas Python
Explora herramientas de Python para hacking ético, incluyendo análisis de vulnerabilidades, escaneo de puertos y extracción de metadatos para pruebas de seguridad y pentesting.
Pytest desde las trincheras
Introducción práctica a pytest para automatizar pruebas y reducir errores en producción, basada en un caso real de un sitio web internacional.
SQLAlchemy as the Backbone of a Data Science Company
Explore SQLAlchemy's advanced features for data science, including Core API, Expression Language, and database migrations. Learn to scale relational models for handling billions of records efficiently.
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.