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talk · HACKER NEWS RECOMMENDATION

Python at Massive Scale - Stephen Simmons, Neil Slinger

PyData · 1 HN recommenders · 1 recommendation months

YouTube

Recommended by 1 Hacker News commenters across 1 months (2018–2022).

SignalTube analysis

Among 89 other talk videos tagged Python, Ruby & scripting languages, the mean is 4.2 distinct HN recommenders. This video has 1 distinct HN recommenders, below that mean. Recommendations span 1 distinct month; the peer average is 4.2 months. This is a data-derived comparison, not a human review or quality rating.

13% of its 8 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2018–2022; those years describe discussion history, not upload date. A verified runtime is not present in the current metadata snapshot. A verified YouTube publication date is not present in the current metadata snapshot.

Channel / speaker
PyData
Verified runtime
Not verified in the current YouTube metadata
YouTube upload date
Not verified
Hacker News mention years
2018–2022

SAME TOPIC AND FORMAT

Compare with related videos

89 peers

The comparison cohort uses other talk videos in Python, Ruby & scripting languages. “Shared recommenders” counts HN users who recommended both videos in the source graph.

VideoHN recommendersRecommendation monthsPositive label shareShared recommendersRuntimeUpload date
Python at Massive Scale - Stephen Simmons, Neil SlingerCurrent video1113%—Not verified in the current YouTube metadataNot verified
Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirichtalk · Confreaks171890%No recorded overlapNot verifiedNot verified
What the heck is the event loop anyway? | Philip Roberts | JSConf EUtalk · JSConf161480%No recorded overlapNot verifiedNot verified
How Python was Shaped by leaky Internals, Armin Ronacher, Flask frameworktalk · Видео с мероприятий {speach!151690%No recorded overlapNot verifiedNot verified

THREE SOURCE-BASED CONTEXT POINTS

Why Hacker News recommends it

8 mentions

Each note combines the dataset’s stance label and short rationale; comment bodies are not reproduced. Open the HN source for the original discussion.

reference2022-05Original HN comment ↗

The archive classifies this as a contextual reference in “Modern Python Performance Considerations”. Its short rationale: Talk on JPMorgan's 35 million LOC Python codebase.

reference2022-01Original HN comment ↗

The archive classifies this as a contextual reference in “Problems once solved by a metaclass can be solved by __init_subclass__”. Its short rationale: Talk on JPMorgan's Athena trading and risk system.

reference2021-11Original HN comment ↗

The archive classifies this as a contextual reference in “An oral history of Bank Python”. Its short rationale: Author's PyData talk on Athena for more details.