"Get hands-on with agent monitoring, deep dive into MCP debugging, and use Sentry's Seer to Learn how to use Python's built-in Join our live webinar with OpenAI to see how the Agents SDK and Temporal's Python integration make AI agents resilient, scalable, and easy to debug. Watch a live multi-agent demo and Master Python string splitting with Online Python training created by a community of experts."
"Give your team the Feature Flags in Depth Feature flags are a way to enable or disable blocks of code without needing to re-deploy your software. This post shows you several different approaches to feature flags. RAPHAEL GASCHIGNARD A Deep Dive Into Ty, Pyrefly, and Zuban A comparison of three new Rust-based Python type checkers through the lens of typing spec conformance: Astral's ty, Meta's pyrefly, and David Halter's zuban ROB HAND"
"How to Drop Null Values in pandas .dropna() to drop null values from pandas DataFrames so you can clean missing data and keep your Python analysis accurate. REAL PYTHON Quiz yourself on pandas .dropna(): remove nulls, clean missing data, and prepare DataFrames for accurate analysis. Quiz: How to Drop Null Values in pandas REAL PYTHON PEP 803: Stable ABI for Free-Threaded Builds (Added) PYTHON.ORG DjangoCon US: Call for Venue Proposals 2027-28 DEFNA.ORG Articles & Tutorials"
Feature flags enable teams to toggle code paths without redeploying and multiple implementation approaches are available. Three Rust-based Python type checkers—Astral's ty, Meta's pyrefly, and David Halter's zuban—offer differing levels of typing spec conformance. Workshops and webinars cover AI agent monitoring, MCP server debugging, the Agents SDK, and Temporal Python integration with live multi-agent demos. pandas .dropna() guidance and quizzes help remove nulls and prepare accurate DataFrames. PEP 803 introduces a stable ABI for free-threaded builds. Additional resources recommend Loguru for simplified logging and ipaddress utilities for network handling.
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