/
profiling-for-performance.json
30 lines (30 loc) · 1.13 KB
/
profiling-for-performance.json
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{
"alias": "video/1587/profiling-for-performance",
"category": "PyCon CA 2012",
"copyright_text": "",
"description": "",
"duration": null,
"id": 1587,
"language": "eng",
"quality_notes": "",
"recorded": "2012-11-10",
"slug": "profiling-for-performance",
"speakers": [
"Mike Fletcher"
],
"summary": "We will discuss how to profile Python code, how to interpret profiles,\nand how (and how not) to use profiling to improve your code's run-time\nperformance. We will look at both built-in and external tools (including\nRunSnakeRun and SnakeViz). We will also discuss the wider issues of how\nto approach optimization in your code base.\n",
"tags": [],
"thumbnail_url": "https://i4.ytimg.com/vi/SUf-ALvk3cU/hqdefault.jpg",
"title": "Profiling for Performance",
"videos": [
{
"type": "mp4",
"url": "http://s3.us.archive.org/nextdayvideo/pyconca/pyconca2012/Profiling_for_Performance.mp4?Signature=PSc4K%2BrnY7o6M14VEC3nea1GeK4%3D&Expires=1352838586&AWSAccessKeyId=FEWGReWX3QbNk0h3"
},
{
"length": 0,
"type": "youtube",
"url": "https://www.youtube.com/watch?v=SUf-ALvk3cU"
}
]
}