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IPython is All You Need
Nathan Cooper shows how to turn IPython into a full terminal shell that runs Bash commands without !, displays images, and retains rich execution history. He then adds an AI assistant that can understand shell context, outputs, images, and errors, and safely execute Python and Bash commands through allowlisted tools.
HTTPX2 – A next-generation HTTP client for Python
Fuzzy String Matching in Django and PostgreSQL
Django and PostgreSQL can handle fuzzy name matching with Soundex, Daitch-Mokotoff, Levenshtein distance, and trigram similarity, each suited to different kinds of misspellings and phonetic variation. The article shows how to expose these techniques through Django ORM expressions and pair them with the right PostgreSQL indexes for efficient search at scale.
monty-go: Pure-Go wrapper for Pydantic's Monty Python Interpreter
VectorSmith
VectorSmith turns vector database collections into LLM tools and exposes them through an MCP server. Using the existing collection schemas and a simple YAML configuration, you can make your vector DB data available to AI agents without writing custom tool and MCP integrations from scratch.
💖 Most Popular in the Last Two Weeks
HTTPX2 – A next-generation HTTP client for Python
Thinking in Python by Bruce Eckel
When str.lower() is a security vulnerability in Python
A Python security vulnerability caused IDNA 2003 handling to use the interpreter’s current Unicode case-folding rules instead of the Unicode 3.2 rules required by the specification.The fix makes Python’s case-folding behavior match Unicode 3.2 for StringPrep, restoring standards-compliant IDNA encoding and addressing CVE-2026-17084.
IPython is All You Need
Nathan Cooper shows how to turn IPython into a full terminal shell that runs Bash commands without !, displays images, and retains rich execution history. He then adds an AI assistant that can understand shell context, outputs, images, and errors, and safely execute Python and Bash commands through allowlisted tools.
15 Python Libraries That Deserve More Attention
This is a roundup of 15 Python libraries that can make code cleaner, faster, and easier to maintain across areas like configuration, serialization, testing, scheduling, and UI development. It also highlights practical tools for dependency injection, state machines, data analysis, and more reliabledatetimehandling.
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