FastAPI error handling: types, methods, and best practices

Learn FastAPI error handling with different types, methods, and best practices. Build robust APIs using custom exception handlers and practical examples.

https://www.honeybadger.io/blog/fastapi-error-handling/

python-apple-fm-sdk

Python bindings for access to the on-device model at the core of Apple Intelligence through the Foundation Models framework.

https://github.com/apple/python-apple-fm-sdk

Resume-Tailor

The Resume Tailor is a small tool used to quickly and automatically tailor your resume to a job description. This allows you to have the best odds of getting your resume into the hands of actual humans.

https://github.com/farmerTheodor/Resume-Tailor

Designing for Model Swaps

When LLM providers ship breaking changes, a poor architecture turns a config tweak into a 400-line PR. This post introduces seam-driven design - five narrow interfaces (provider, prompt, tools, config, observability) each independently swappable - illustrated with a working FastAPI + LangChain reference app, a practical checklist, and two hands-on drills readers can run immediate

https://garybake.com/seams1.html

Validating data with pointblank in python

One of the most common tasks of any organization is reviewing data to ensure that it is accurate and does not contain errors. Commonly, this is done by producing graphs or summary information like a median or mean and confirming that it looks reasonable. Pointblank is a newer tool that allows you to really dig into a dataset and task assumptions in a robust and reproducible manner.

https://www.markpitblado.me/blog/validating-data-with-pointblank-in-python

You’ve Been Underusing Dataclasses (These Tricks Are Wild)

The video demonstrates seven powerful, lesser-known techniques using Python dataclasses, including automatic class registration, lightweight validation, cached derived values, and context manager patterns. It also shows practical uses such as CLI generation and explains advanced features like InitVar, highlighting how dataclasses can enable cleaner and more expressive Python designs.

https://www.youtube.com/watch?v=Y9_h7ehjhO4

City2Graph

Transform geospatial relations into graphs for Graph Neural Networks and network analysis.

https://github.com/c2g-dev/city2graph

databricks-solutions / ai-dev-kit

Databricks Toolkit for Coding Agents provided by Field Engineering

https://github.com/databricks-solutions/ai-dev-kit

Custom Data Structures in E-Graphs

The post explores how Egglog’s e-graph framework can be extended with custom container data structures to represent algebraic structures (like multisets) more efficiently and reduce expression blow-up during rewriting. It shows that by embedding structural invariants into the data representation and using higher-order functions, you can express powerful rewrite rules without explosive gr...

https://uwplse.org/2026/02/24/egglog-containers.html

Deprecate confusing APIs like “os.path.commonprefix()”

The article argues that confusing APIs like Python’s os.path.commonprefix() should be deprecated because their misleading naming and placement cause developers to misuse them and introduce security vulnerabilities. It shows how decades of confusion around this function led to real path-traversal bugs and concludes that unsafe or misleading APIs should be replaced by clearer alternatives ...

https://sethmlarson.dev/deprecate-confusing-apis-like-os-path-commonprefix

code-graph-rag

Code-Graph-RAG builds knowledge graphs from multi-language codebases and enables AI-powered querying and editing. It uses Tree-sitter to parse ASTs across 11 languages, stores structural data in Memgraph, and translates natural language questions into Cypher graph queries. Unlike vector-based RAG, it preserves exact code relationships: call chains, inheritance hierarchies, and module dep...

https://github.com/vitali87/code-graph-rag

Pytest parameter functions

The post shows how to make complex pytest.mark.parametrize data more readable and maintainable by wrapping each test case in small helper functions instead of raw tuples. It also demonstrates using pytest.param with custom IDs inside those helpers so long, messy parameter values become clear, concise test names that are easier to work with.

https://nedbatchelder.com/blog/202602/pytest_parameter_functions

Invent your own comprehensions in Python

Python doesn't have tuple, frozenset, or Counter comprehensions, but you can invent your own by passing a generator expression to any iterable-accepting callable.

https://www.pythonmorsels.com/custom-comprehensions/

GraphZero

High-Performance, Zero-Copy Graph Engine for Massive Datasets on Consumer Hardware.

https://github.com/KrishSingaria/graphzero