Wes McKinney - 2017 Outlook: pandas, Arrow, Feather, Parquet, Spark, Ibis
2017 is shaping up to be an exciting year in Python data development. In this post I’ll give you a flavor of what to expect from my end. In follow up blog posts, I plan to go into more depth about how all the pieces fit together. I have been a bit delinquent in blogging in 2016, since my hands have been quite full doing development and working on the 2nd edition of Python for Data Analysis. I am g
（翻訳）2017年の展望: pandas, Arrow, Feather, Parquet, Spark, Ibis - Qiita
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? 始めに：pandasの作者であるWes McKinneyさんがPythonのデータツール関連でとても興味深いblogを書かれているので、翻訳して日本のPyDataコミュニティに公開してもいいでしょうか、とお聞きしたところ、快諾をいただきましたので少しずつ訳して公開していこうと思っています。 2017年の展望: pandas, Arrow, Feather, Parquet, Spark, Ibis （原文：http://wesmckinney.com/blog/outlook-for-2017/ ） 2016/12/27 Python
Apache Spark - Wikipedia
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance. Originally developed at the University of California, Berkeley's AMPLab starting in 2009, in 2013, the Spark codebase was donated to the Apache Software Foundation, which has maintained it since. Apache Spa
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Apache Spark™ - Unified Engine for large-scale data analytics
