How PythonSkillset Sandboxes Untrusted Code
Learn how PythonSkillset uses a layered approach with AST parsing, subprocess isolation, nsjail containerization, and resource limits to safely execute untrusted Python code on a server.
Learn how PythonSkillset uses a layered approach with AST parsing, subprocess isolation, nsjail containerization, and resource limits to safely execute untrusted Python code on a server.
Learn to identify and fix hidden performance bottlenecks in async Python code using wall-clock profiling and event loop analysis, with actionable tools and examples.
Learn how to use py-spy, a sampling profiler that attaches to running Python processes from outside, to diagnose CPU bottlenecks in production or local scripts without modifying code.
REST over JSON introduces parsing overhead and blocking in microservices. This article explains how gRPC with Protocol Buffers and HTTP/2 eliminates those bottlenecks, with a real Python example …
Learn why and how to use pip freeze to lock your Python package versions in a requirements.txt file, preventing breaking changes and ensuring reproducible environments across your team …
Error budgets replace the 'zero downtime' trap with a rational tradeoff: decide how unreliable you can be, ship freely within that budget, and stop to fix reliability when …
Python simplifies CI/CD pipelines by offering readable, testable scripts that run across platforms. Learn how to replace brittle Bash and YAML with Python code that's easier to debug …
Learn how WebSockets create persistent, two-way connections for real-time apps like chat and live dashboards, with Python examples using the websockets library.
Tired of Python version conflicts? Learn how to automate Python version switching per project using pyenv, so you never manually manage interpreters again.
Learn how to replace hardcoded secrets in your Python code with environment variables using .env files and python-dotenv for safer, portable configuration.
Learn how to mock external API calls in Python tests using unittest.mock, so your tests stay fast, reliable, and independent of network or third-party services.
Learn how to use requests-cache to transparently cache API responses, reduce network calls, avoid rate limits, and speed up your Python scripts with just a few lines of …