国外数据科学课程视频讲解
How Did Python Become A Data Science Powerhouse?
(Python是如何成为了数据科学的发动机？)
SPEAKER: Jake VanderPlas
Jake Vanderplas is the Director of Research in the Physical Sciences at the University of Washington's eScience Institute, an interdisciplinary program designed to support data-driven discovery in a wide range of scientific fields. His own research is in astronomy, astrophysics, machine learning, and scalable computation. In addition, he is a maintainer and/or frequent contributor to many open source Python projects, including scikit-learn, scipy, altair and others. He occasionally blogs about Python, machine learning, data visualization, open science.
Jake Vanderplas是华盛顿大学eScience研究所物理科学研究的负责人。该研究所是一个跨学科项目，旨在支持广泛的科学领域中数据的相关发现。他的研究领域包括天文学、天体物理学、机器学习和可伸缩计算。此外，他是许多开源Python项目的维护者和贡献者，包括scikitl - learn、scipy、altair等。
Jake VanderPlas is a long-time user and developer of the Python scientific stack. He currently works as an interdisciplinary research director at the University of Washington, conducts his own astronomy research, and spends time advising and consulting with local scientists from a wide range of fields.
It is a well established fact, Python is the best programming language for data analysis because of its libraries for storing, manipulating, and gaining insight from data. Watch this presentation to learn about the history as well as recent developments in the language that make Python the data science powerhouse.
毋庸置疑，Python是用于数据分析的最佳编程语言，因为它的库用于存储、操作和获取数据的洞察力。本视频来自PyData Seattle 2017，当中介绍了Python的发展历程以及最新发展情况。
How Did Python Become A Data Science Powerhouse?
Python是如何成为了数据科学的发动机？[视频讲解·中文字幕]
CDA数据分析研究院团队译制
EVENT: PyData Seattle 2017
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