🐍 Python Term of the Day: code testing (Python Best Practices) Guidelines and best practices for putting together a robust and flexible test suite for your Python code. https://lnkd.in/g9hr7c5w
Python Code Testing Best Practices
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The latest Qt for Python 6.11 release focuses on Qt Bridges, simplifying Python-Qt integration, and continues alignment with Qt/C++ updates to keep Qt for Python up to date with upstream improvements. See what is new and what is still in progress in the release blog:
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The latest Qt for Python 6.11 release focuses on Qt Bridges, simplifying Python-Qt integration, and continues alignment with Qt/C++ updates to keep Qt for Python up to date with upstream improvements. See what is new and what is still in progress in the release blog:
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Organizing your Python code with modules and packages makes it easier to reuse, maintain, and scale projects. Just split functionality into .py files (modules) and group related ones into packages with __init__.py. It’s one of the best ways to keep your codebase clean and professional! 🐍 Read More: https://lnkd.in/daWhU88Q #Python #CodeQuality #SoftwareEngineering #DevTips
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🐍 Python Development Tools — On this page you will find articles that will help you get started on the road to mastering the most common tools used in the #Python ecosystem. Knowing how to use these tools will serve you well in your career. https://lnkd.in/g-e3xpA
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🐍 Python Term of the Day: pass (Python Keywords) A placeholder statement that allows you to write syntactically correct code without executing any operations. https://lnkd.in/e5cJqaah
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Docker tip that every Python developer should know: 🐳 Always use multi-stage builds for production Python images. Stage 1 (builder): Install all deps, compile extensions Stage 2 (runtime): Copy only what you need Result: My AI agent image went from 1.2GB to 180MB. Smaller images mean faster deploys and smaller attack surface. Bonus: combine with `uv` instead of pip for 10x faster dependency resolution. What Docker optimization has saved you the most time? #Docker #Python #DevOps #CloudNative #BackendDev
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