ian-ozsvald-the-high-performance-python-landscape.json

{
  "description": "A Python programmer has many options to profile and optimize CPU-bound\nand data-bound systems, common solutions include Cython, numpy and PyPy.\nIncreasingly we have single-core solutions that should take advantage of\nmany cores and clusters. This talk reviews the current state of the art,\nlooking at the compromises and outcomes of the current approaches and\nreviews upcoming solutions like Numba, Pythran and PyPy\u2019s numpy.\nThoughts will be shared on how current hindrances might be improved.\n",
  "duration": 2186,
  "language": "eng",
  "recorded": "2014-02-22",
  "related_urls": [
    {
      "label": "slides",
      "url": "http://www.slideshare.net/PyData/high-performance-python-landscape-ian-ozsvald"
    }
  ],
  "speakers": [
    "Ian Ozsvald"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/4LlCqlMJr3E/hqdefault.jpg",
  "title": "The High Performance Python Landscape",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=4LlCqlMJr3E"
    }
  ]
}