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Latest Python articles

Observing LLM Applications with OpenTelemetry

Observing LLM Applications with OpenTelemetry

Explore LLM observability with OpenTelemetry, OpenAI Agents SDK, and FastAPI. Learn why monitoring agentic workflows matters and instrumentation gaps....

05 June 2026reddit

Did Claude Increase Bugs in rsync?

Did Claude Increase Bugs in rsync?

Statistical review shows rsync releases with Claude commits are not more buggy than historical releases, debunking AI‑caused regression claims....

05 June 2026lobsters

Detect AI Agent Hallucinations: Zero-Shot Methods

Detect AI Agent Hallucinations: Zero-Shot Methods

Detect AI hallucinations without labeled data using zero‑shot LSC, claim decomposition, and guardrails in Strands. Block unsafe outputs and monitor drift....

05 June 2026devto

CU CTF- Corner office-Challenge Write-Up

CU CTF- Corner office-Challenge Write-Up

CTF write‑up: Explored Flask session cookie forgery, then uncovered Jinja2 SSTI on a contact form to dump config and retrieve the flag....

05 June 2026medium

My AI Couldn’t See My Files — I Built a Zero-Dependency MCP Server

My AI Couldn’t See My Files — I Built a Zero-Dependency MCP Server

Build a zero‑dependency Python MCP server using stdio and HTTP/SSE, with secure file sandboxing, 5‑client concurrency, and <50 ms latency....

05 June 2026towardsdatascience.com

TokenMizer: A graph-based memory system for long AI coding sessions

TokenMizer: A graph-based memory system for long AI coding sessions

TokenMizer preserves context across sessions storing state as a graph of tasks, decisions, files, dependencies, and errors, generating checkpoints to resume work....

05 June 2026reddit

Agent-as-a-Code in Databricks for Production

Agent-as-a-Code in Databricks for Production

Learn how to package a LangChain agent for production on Databricks using MLflow, Unity Catalog, and vector search for reproducible, deployable models....

05 June 2026medium

pg_durable: Microsoft open sources in-database durable execution

pg_durable: Microsoft open sources in-database durable execution

pg_durable lets you build fault‑tolerant SQL workflows inside PostgreSQL, using a durable function DSL and background workers. No external orchestrators needed....

05 June 2026hackernews

Rust Made Our Python ML System 7.4× Faster — Then Our Team Started Falling Apart

Rust Made Our Python ML System 7.4× Faster — Then Our Team Started Falling Apart

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05 June 2026gitconnected.com

Rust Made Our Python ML System 7.4× Faster — Then Our Team Started Falling Apart

Rust Made Our Python ML System 7.4× Faster — Then Our Team Started Falling Apart

Real‑time fraud scoring model hit 7.4× benchmark, yet Python serving lagged 310ms p50/740ms p99. Postmortem reveals profiling insights and SLA fixes and quantization....

05 June 2026medium

Modern Data Layers: Pydantic 2.0 and SQLAlchemy 2.0 Meet Python 3.14

Modern Data Layers: Pydantic 2.0 and SQLAlchemy 2.0 Meet Python 3.14

Explore Python 3.14’s new t‑strings and PEP 649, and how Pydantic 2.0 and SQLAlchemy 2.0 leverage them for faster, safer data validation and ORM queries....

05 June 2026medium

Uncovering Hidden Radiation Patterns with Python and Pandas

Uncovering Hidden Radiation Patterns with Python and Pandas

Retrieve and analyze real‑time and historical radiation data from GMCMap with Python and Pandas to spot environmental anomalies....

05 June 2026medium

The Duplicate Writes Your AI Agent Can’t See

The Duplicate Writes Your AI Agent Can’t See

Build a recovery layer for agentic AI writes: audit tools, enforce idempotency, verify commits, and handle retries to prevent duplicate CRM updates....

05 June 2026medium

Building a RAG Pipeline That Doesn’t Fall Apart

Building a RAG Pipeline That Doesn’t Fall Apart

Learn how RAG systems silently fail, from chunking errors to embedding drift, and discover best practices for chunking, retrieval, re‑ranking, and monitoring....

05 June 2026medium

The Fundamental Choice in Reinforcement Learning: On‑Policy vs. Off‑Policy

The Fundamental Choice in Reinforcement Learning: On‑Policy vs. Off‑Policy

Explore on‑policy vs off‑policy RL: SARSA, Q‑learning, Expected SARSA, TD updates, safety, sample efficiency, and practical trade‑offs....

05 June 2026towardsdatascience.com

How I used Prefect for local pipeline orchestration on Windows with minimal setup

How I used Prefect for local pipeline orchestration on Windows with minimal setup

Learn how to set up Prefect Server on a Windows server for local workflow orchestration, including virtual env, PostgreSQL, work pools, and automation scripts....

05 June 2026medium

The Entry-Level Job That Requires 3 Years of Experience Is Lying to You — And So Is Your Course…

The Entry-Level Job That Requires 3 Years of Experience Is Lying to You — And So Is Your Course…

Discover why entry‑level data science jobs demand 2‑3 years experience, the limits of online courses, and how real projects like Kaggle can prove your skills....

05 June 2026medium

How HTTP Servers Work: A Practical Guide with Python

How HTTP Servers Work: A Practical Guide with Python

Explore how HTTP servers parse requests, validate headers, and build responses over TCP, with Python examples and key concepts like status codes and content‑type....

05 June 2026medium

Gen AI Myths Busted: A Quick Guide for Engineers

Gen AI Myths Busted: A Quick Guide for Engineers

Learn how generative AI works, debunk common myths, and get a practical playbook for engineers to use AI as a teammate....

05 June 2026medium

“Father & Son”: How I Built a 100% Offline Conversational AI to Leave a Legacy for My Son

“Father & Son”: How I Built a 100% Offline Conversational AI to Leave a Legacy for My Son

Build an offline AI legacy: local LLM, RAG with ChromaDB, voice synthesis, and Docker to preserve a father's memories for future dialogue....

05 June 2026medium

Trending Python repositories

anthropics/knowledge-work-plugins

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microsoft/agent-framework

a framework for building, orchestrating and deploying ai agents and multi-agent workflows with support for python and .net.

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a framework for efficient model inference with omni-modality models

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