This issue of PyCoder's Weekly covers a range of Python topics. A tutorial explores Django ORM and migrations, detailing how to build, break, and fix them, including addressing performance issues in Django 6.1. Functional programming in Python is explained, discussing its paradigm and practical application. PropelAuth is highlighted for its security features, particularly for AI agent integrations. The Model-View-Controller (MVC) pattern in Python web apps is explored with a Flask example. Python 3.16.0 Alpha 1 is now available, and the Python Bytes podcast celebrated its 500th episode. The PyPy v8.0.1 release is also noted. A Claude Code course teaches building Python CLI apps without excessive ChatGPT reliance. OpenTeams reviews their 2026 PyTorch contributions, noting increased AI agent usage. Bayesian optimization for hyperparameter search is demonstrated with scikit-learn. The unique "+" operator in the Pendulum datetime library is examined. PyPI has updated its email reputation calculation, allowing Outlook addresses again. Parquet's advantages in data engineering are explained using Polars, DuckDB, and PyArrow. Gemini 4 Argon's capabilities are showcased with Python code generation. Project structure in Python is discussed, offering guidance on choosing between flat and src/ layouts. Comparisons are made between Docling and LlamaParse for PDF table extraction. Basic Python concepts like strings, data types, and first steps are covered in tutorials. Finally, a list of upcoming Python events is provided.