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#474: Python Performance for Data Science
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Inhoud geleverd door Michael Kennedy and Michael Kennedy (@mkennedy). Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Michael Kennedy and Michael Kennedy (@mkennedy) of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
Python performance has come a long way in recent times. And it's often the data scientists, with their computational algorithms and large quantities of data, who care the most about this form of performance. It's great to have Stan Seibert back on the show to talk about Python's performance for data scientists. We cover a wide range of tools and techniques that will be valuable for many Python developers and data scientists.
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Episode sponsors
Posit
Talk Python Courses
Links from the show
Stan on Twitter: @seibert
Anaconda: anaconda.com
High Performance Python with Numba training: learning.anaconda.cloud
PEP 0703: peps.python.org
Python 3.13 gets a JIT: tonybaloney.github.io
Numba: numba.pydata.org
LanceDB: lancedb.com
Profiling tips: docs.python.org
Memray: github.com
Fil: a Python memory profiler for data scientists and scientists: pythonspeed.com
Rust: rust-lang.org
Granian Server: github.com
PIXIE at SciPy 2024: github.com
Free threading Progress: py-free-threading.github.io
Free Threading Compatibility: py-free-threading.github.io
caniuse.com: caniuse.com
SPy, presented at PyCon 2024: us.pycon.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
Anaconda: anaconda.com
High Performance Python with Numba training: learning.anaconda.cloud
PEP 0703: peps.python.org
Python 3.13 gets a JIT: tonybaloney.github.io
Numba: numba.pydata.org
LanceDB: lancedb.com
Profiling tips: docs.python.org
Memray: github.com
Fil: a Python memory profiler for data scientists and scientists: pythonspeed.com
Rust: rust-lang.org
Granian Server: github.com
PIXIE at SciPy 2024: github.com
Free threading Progress: py-free-threading.github.io
Free Threading Compatibility: py-free-threading.github.io
caniuse.com: caniuse.com
SPy, presented at PyCon 2024: us.pycon.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
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