Changes between Version 1 and Version 2 of JNB_Notes


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Timestamp:
11/05/18 10:54:08 (6 years ago)
Author:
darkblueb
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  • JNB_Notes

    v1 v2  
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    2 Why Notebooks on OSGeoLive 12 ?
     2== Why Notebooks on OSGeoLive 12 ?
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     4  Jupyter Notebooks are popular and increasingly mainstream.
     5You may have noticed the column recently in the Journal Nature
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    5 The Fourth Paradigm: Data-Intensive Scientific Discovery
     7   https://www.nature.com/articles/d41586-018-07196-1
     8=== Title: Why Jupyter is data scientists’ computational notebook of choice
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    7 This book presents the first broad look at the rapidly emerging field of dataintensive science, with the goal of influencing the worldwide scientific and computing research communities and inspiring the next generation of scientists.
    8 Increasingly, scientific breakthroughs will be powered by advanced computing
    9 capabilities that help researchers manipulate and explore massive datasets. The
    10 speed at which any given scientific discipline advances will depend on how well
    11 its researchers collaborate with one another, and with technologists, in areas of
    12 eScience such as databases, workflow management, visualization, and cloudcomputing technologies. This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based
    13 on data-intensive science and offers insights into how it can be fully realized.
     10The Big Picture -- Data is Fourth Fundemental Paradigm of Science
     11
     12    The Fourth Paradigm: Data-Intensive Scientific Discovery
     13
     14    This book presents the first broad look at the rapidly emerging field of dataintensive science,
     15    with the goal of influencing the worldwide scientific and computing research communities and
     16    inspiring the next generation of scientists.
     17    Increasingly, scientific breakthroughs will be powered by advanced computing
     18    capabilities that help researchers manipulate and explore massive datasets. The
     19    speed at which any given scientific discipline advances will depend on how well
     20    its researchers collaborate with one another, and with technologists, in areas of
     21    eScience such as databases, workflow management, visualization, and cloudcomputing technologies.
     22    This collection of essays expands on the vision of pioneering computer scientist Jim Gray for a
     23    new, fourth paradigm of discovery based
     24    on data-intensive science and offers insights into how it can be fully realized.
    1425
    1526—Rhys Francis, Australian eResearch Infrastructure Council