Adam Johnson introduces profiling-explorer, a new tool designed to explore Python profiling data stored in pstats files through an interactive web interface. The tool provides a more convenient and modern alternative to the standard command-line pstats interface, featuring dark mode, column sorting, search filtering by filename or function, and easy navigation between callers and callees.
* table-based UI for inspecting call counts, internal time, and cumulative time in milliseconds.
* low-overhead sampling profiler (Tachyon) in Python 3.15.
* table-based UI for inspecting call counts, internal time, and cumulative time in milliseconds.
* low-overhead sampling profiler (Tachyon) in Python 3.15.
Python 3.15 is set to introduce transformative improvements including lazy imports to defer library loading costs, a new immutable frozendict type, significant enhancements to the native JIT compiler, and an explicit roadmap for WebAssembly support via PEP 816. The article also highlights recent developments in the Python ecosystem such as using Rust to build standard library components, tools for exploring profiler data, and security insights regarding package compromises.
