Changes between Version 3 and Version 4 of Jupyter


Ignore:
Timestamp:
05/19/18 10:19:38 (6 years ago)
Author:
Jens Henrik Goebbert
Comment:

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  • Jupyter

    v3 v4  
    44[[Image(jupyter-main-logo.png, 450px, align=right, margin=10, link=wiki:ParaView)]]
    55
    6 "!ParaView is an open-source, multi-platform application designed to visualize data sets of varying sizes from small to very large. The goals of the !ParaView project include developing an open-source, multi-platform visualization application that supports distributed computational models to process large data sets. It has an open, flexible, and intuitive user interface. Furthermore, !ParaView is built on an extensible architecture based on open standards.
     6Jupyter is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media in a document called Jupyter Notebook.
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    8 !ParaView runs on distributed and shared memory parallel as well as single processor systems and has been successfully tested on Windows, Linux, Mac OS X, IBM Blue Gene, Cray XT3 and various Unix workstations and clusters. Under the hood, !ParaView uses the Visualization Toolkit as the data processing and rendering engine and has a user interface written using the Qt cross-platform application framework."
    9 [http://www.paraview.org/Wiki/ParaView link]
     8The Jupyter Notebook is based on a set of open standards for interactive computing. Think HTML and CSS for interactive computing on the web. These open standards can be leveraged by third party developers to build customized applications with embedded interactive computing.
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    11  * Jupyter@JSC: (https://jupyter-jsc.fz-juelich.de)
    12  * Jupyter Homepage (http://www.jupyter.org)
    13  * Jupyter Blog (http://blog.jupyter.org)
     10* Language of choice \\ The Notebook has support for over 40 programming languages, including Python, R, Julia, and Scala.
    1411
    15  * Get inspired and check these example Jupyter notebooks:
    16    * Jupyter Notebook Gallery (https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks)
     12* Share notebooks \\ Notebooks can be shared with others using email, Dropbox, !GitHub and the Jupyter Notebook Viewer.
     13
     14* Interactive output \\ Your code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types.
     15
     16* Big data integration \\ Leverage big data tools, such as Apache Spark, from Python, R and Scala. Explore that same data with pandas, scikit-learn, ggplot2, !TensorFlow.
     17
     18
     19more:
     20* Jupyter@JSC: (https://jupyter-jsc.fz-juelich.de)
     21* Jupyter Homepage (http://www.jupyter.org)
     22* Jupyter Blog (http://blog.jupyter.org)
     23
     24* Get inspired and check these example Jupyter notebooks:
     25  * Jupyter Notebook Gallery (https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks)
    1726
    1827=== Run Jupyter
    19 [[Image(CatalystFullWorkFlow.png, 200px, align=right, margin=10)]]
     28[[Image(jupyterpreview.png, 200px, align=right, margin=10)]]
    2029
     30==== ... on JURECA
     31Browse to https://jupyter-jsc.fz-juelich.de and start right away!
     32
     33==== ... on your own PC
     34Install Conda (or any other Python environment) and install Jupyter.
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