Obidire alla capra TDD con Python i Selenium
Scopri come implementare il Test-Driven Development utilizzando Python e Selenium per creare applicazioni web robuste e affidabili.
Some Tricks for Incremental Refactoring of Python Code
Learn practical techniques for gradually improving Python code quality, enhancing readability, and optimizing performance without disrupting existing functionality.
Static Analysis of Python
Explore Python static analysis techniques to catch errors early, improve code quality, and enhance development efficiency without sacrificing language dynamism.
Very Large Development - How to Run Code Review for 800+ Open Source Python Developers
Discover effective code review strategies for large-scale open-source Python projects, focusing on OpenStack's practices, tools, and workflows for managing complex systems and numerous contributors.
Design Your Tests
Explore effective test design strategies to improve failure analysis, test clarity, and bug diagnosis. Learn about transparent layers, higher-order assertions, and organizational techniques for better software testing.
Identifying Bugs Before Runtime With Jedi
Explore advanced Python bug detection using Jedi, an autocompletion library that understands dynamic features. Learn to identify errors before runtime for improved code quality.
How You Can Benefit from Type Hints
Explore the benefits of Python type hints for improved code readability, documentation, and tool support. Learn practical examples and best practices for implementing type annotations in your projects.
12 Years of Pylint - Or How I Learned to Stop Worrying About Bugs
Explore Pylint's powerful static analysis capabilities for Python, from style checking to advanced bug detection and code understanding, with insights on its inner workings and future developments.
So You Think Your Python Startup Is Worth $10 Million
Insights on valuing Python startups: metrics, risk assessment, code quality, and strategies to enhance company worth for investments or acquisitions.
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.
Documentation-Driven Development
Explore documentation-driven development's impact on code quality, community growth, and programmer development, drawing insights from Django's successful approach.
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.
Washing Away Code Smells
Learn to identify and eliminate code smells in Python, mastering the art of refactoring for cleaner, more maintainable, and Pythonic code. Discover practical tips for implementing refactoring in your development process.
Getting Started with Mypy and Type Checking
Learn how to introduce type checking in Python projects using mypy, with insights from Dropbox's experience in annotating large codebases. Discover step-by-step approaches to improve code clarity and catch bugs early.
Standardize Testing in Python
Discover tox: an open-source tool for standardizing Python testing, simplifying CI processes, and ensuring high-quality, maintainable packages across various environments.
Refactoring in Python
Discover strategies for improving Python code quality, from easy wins to advanced techniques. Learn to identify and replace problematic patterns, write maintainable code, and prevent future issues.
From Python Script to Open Source Project
Comprehensive guide to transform a Python script into a polished open-source project, covering structure, testing, automation, and best practices for community contribution and maintenance.
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.
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.
Pydon'ts
Explore idiomatic Python coding practices to write more elegant and efficient code, regardless of skill level. Learn forgotten vanilla features and refactor a function using Pythonic idioms.
Taming Nondeterminism with Dependency Injection
Learn to control nondeterminism in Python using dependency injection. Explore challenges, identify issues, and implement solutions to improve code reliability and testability.