6 articles
Async deadlocks in Python asyncio are silent killers — your app stops responding, logs go quiet, and nothing tells you why. Learn how to detect, diagnose, and prevent them before they take down production.
Your Python service runs fine at startup, but six hours later it's eating gigabytes of RAM and the only fix is a restart. Here's how to use tracemalloc to find exactly what's leaking and where it was allocated.
If your Python loop is crawling through thousands of rows, NumPy vectorization can cut that runtime from minutes to milliseconds. Here's exactly how to spot the slowdowns and rewrite them the right way.
You define a function with a list as a default argument, call it a few times, and suddenly it's returning data from previous calls. This is one of Python's most confusing gotchas — here's exactly why it happens and how to fix it.
Python's float type will silently give you wrong answers in financial and scientific code. Learn when to use the decimal module, how to avoid common traps, and how to migrate existing code without breaking everything.
Your groupby result looks right until you realize entire rows vanished without a warning. Here's how silent data loss happens in Pandas aggregations, why it's so easy to miss, and the exact steps to catch and fix it.