Top 20 Python Machine Learning Open Source Projects, updated Open Source is the heart of innovation and rapid evolution of technologies, these days. This article presents you Top 20 Python Machine Learning Open Source Projects of 2016 along with very interesting insights and trends found during the analysis. Continuing analysis from last year: Top 20 Python Machine Learning Open Source Projects, t
Again, we try to avoid most established choices such as Django, Flask, etc. that are kind of standard nowadays. Also, some of these libraries date prior to 2016, but either they had an explosion in popularity this year or we think they are great enough to deserve the spot. Here we go! 1. ZappaSince the release of AWS Lambda (and others that have followed), all the rage has been about serverless ar
>>> now = maya.now() <MayaDT epoch=1481850660.9> >>> tomorrow = maya.when('tomorrow') <MayaDT epoch=1481919067.23> >>> tomorrow.slang_date() 'tomorrow' >>> tomorrow.slang_time() '23 hours from now' # Also: MayaDT.from_iso8601(...) >>> tomorrow.iso8601() '2017-02-10T22:17:01.445418Z' # Also: MayaDT.from_rfc2822(...) >>> tomorrow.rfc2822() 'Fri, 10 Feb 2017 22:17:01 GMT' # Also: MayaDT.from_rfc3339(
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く