Memray: The endgame Python memory profiler
Episode #425,
published Fri, Aug 4, 2023, recorded Tue, Jun 20, 2023
Understanding how your Python application is using memory can be tough. First, Python has it's own layer of reused memory (arenas, pools, and blocks) to help it be more efficient. And many important Python packages are built in natively compiled languages like C and Rust often times making that section of your memory opaque. But with Memray, you can way deeper insight into your memory usage. We have Pablo Galindo Salgado and Matt Wozniski back on the show to dive into Memray, the sister project to their pystack one we recently covered.
Links from the show
Links from the show
Pablo Galindo Salgado: @pyblogsal
Matt Wozniski: github.com
pytest-memray: github.com
PEP 669 – Low Impact Monitoring for CPython: peps.python.org
Memray discussions: github.com
Mandlebrot Flamegraph example: bloomberg.github.io
Python allocators: bloomberg.github.io
Profiling in Python: docs.python.org
PEP 693 – Python 3.12 Release Schedule: peps.python.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
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Matt Wozniski: github.com
pytest-memray: github.com
PEP 669 – Low Impact Monitoring for CPython: peps.python.org
Memray discussions: github.com
Mandlebrot Flamegraph example: bloomberg.github.io
Python allocators: bloomberg.github.io
Profiling in Python: docs.python.org
PEP 693 – Python 3.12 Release Schedule: peps.python.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to us on YouTube: youtube.com
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy