
Log uncaught exceptions in Python
Use sys.excepthook for top-level failures, threading.excepthook for worker threads, and explicit handling for functions and asynchronous tasks.
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Use sys.excepthook for top-level failures, threading.excepthook for worker threads, and explicit handling for functions and asynchronous tasks.

Compare Python timing functions, measure elapsed work with perf_counter, and avoid confusing nanosecond units with clock resolution.

Avoid configuration-time hostname failures with runtime resolution, understand backup limits, and return a controlled maintenance response.

Use zfill for signed strings, numeric format specifications for integers, and rjust or ljust when you need literal character padding.

Extract fields from combined access logs, count requests by status and second, and avoid misleading timing or time-window analysis.

Understand shared objects, local rebinding, mutable defaults, and shallow copies when passing values to Python functions.

Escape braces in f-strings and str.format, combine literal braces with substitutions, and serialize JSON without hand-built templates.

Format JSON with indentation, preserve Unicode, validate API responses, and use Python’s json.tool from the command line.

Send diagnostics to stderr with print or logging, keep them separate from stdout, and redirect each stream independently.

Control print endings with end, separate arguments with sep, and flush progress output when it would otherwise remain buffered.

Find expensive functions with cProfile, sort saved statistics with pstats, and choose line profiling or timeit for more focused analysis.

Choose appropriate Python exception types, preserve causes with raise from, and re-raise failures without relying on assertions for input validation.