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Wed, May 20
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Python Decorators Explained Simply
Python Decorators Explained Simply Introduction Python Decorators Explained Simply is essential knowledge for every developer. Key Points Start with the basics Practice regularly Build real projects Share your knowledge Getting Started The best way to learn is by doing. Set up a test environment and experiment. Best Practices Follow official documentation Join community forums Contribute to open source Write about what you learn C...
Soft Skills That Make or Break Developer Careers
Download your free Python Cheat Sheet here: https://realpython.com/cheatsheet Free Python Skill Test with instant level + learning plan: https://realpython.com/skill-test Want to learn faster? Become a Python Expert with unlimited access to 5,000+ tutorials, videos, and exercises: https://realpython.com/start Listen to the full episode at https://realpython.com/podcasts/rpp/282 or wherever you get podcasts -- with Chris Trudeau (hosted by Chris Bailey). 🐍 Become a Python expert with real-wor
Lakehouse_Plumber - The Metadata Driven framework for Databricks Lakeflow Declarative Pipelines (formerly Delta Live Tab
The Metadata Driven framework for Databricks Lakeflow Declarative Pipelines (formerly Delta Live Tables). Metadata framework that generates production ready Pyspark code for Lakeflow Declarative Pipelines
How to Use the Claude API in Python
The fastest way to use the Claude API in Python is to install anthropic, set your API key, and call client.messages.create(). You’ll have a working response in under a minute: Example of Using the Claude API in Python Claude is Anthropic’s large language model, accessible via a clean REST API with an official Python SDK. Unlike heavier AI frameworks that require you to wire up multiple components before you see any output, the anthropic package gets you to a working response in a handful of ...
Python Decorators Explained Simply
Python Decorators Explained Simply Introduction Python Decorators Explained Simply is essential knowledge for every developer. Key Points Start with the basics Practice regularly Build real projects Share your knowledge Getting Started The best way to learn is by doing. Set up a test environment and experiment. Best Practices Follow official documentation Join community forums Contribute to open source Write about what you learn C...
A Production Python Telegram Bot Was Crashing Every 2 Hours. The Fix Was 18 Lines.
"If you see cascading errors, find the first thing that fails and stop reading the log there. Everything after the first failure is the system reacting to the first failure." A production Python Telegram bot I was looking after started crashing every 2-3 hours. The traceback was a horror show — TelegramRetryAfter, then asyncio.TimeoutError, then sqlite3.OperationalError: database is locked, then 47 leaked sessions, then the process got OOM-killed, then systemd restarted it. Then it happened...
Core Dispatch: Core Dispatch #4
Welcome back to Core Dispatch! This edition covers April 30 through May 18, 2026. Python 3.15.0 beta 1 is officially here, which means CPython's main branch is now open for 3.16 work. The first 3.16 alpha is slated for mid-October. More imminently, beta 2 is up next on June 2, with 3.13.14 and 3.14.6 following on June 9. This is also PyCon US week, so a lot of the core team is gathered in Long Beach right now. Once recordings are available, we'll be sure to pull talks from folks on ...
PyCoder’s Weekly: Issue #735: Agentic Architecture, Python is Weird, 3.15, and More (2026-05-19)
#735 – MAY 19, 2026 View in Browser » Agentic Architecture: Why Files Aren’t Always Enough What are the limitations of using a file-based agent workflow? Why do massive context windows tend to collapse? This week on the show, Mikiko Bazeley from MongoDB joins us to discuss agentic architecture and context engineering. REAL PYTHON podcast Python Is Weird Here is a collection of things that surprised Maciej about Python. Some you might know and some that might surprise you too. M...
Real Python: Quiz: How to Use the Claude API in Python
In this quiz, you’ll test your knowledge of How to Use the Claude API in Python. By working through this quiz, you’ll revisit how to install the anthropic SDK, send prompts to Claude with client.messages.create(), shape responses with a system parameter, and return structured JSON output using a schema or Pydantic. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here t...