Changes between Version 4 and Version 5 of Jupyter
- Timestamp:
- 05/20/18 11:45:23 (6 years ago)
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Jupyter
v4 v5 5 5 6 6 Jupyter 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. 7 Jupyter Notebooks are for **creating reproducible computational narratives**. 7 8 8 9 The 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. 9 10 10 * Language of choice\\ The Notebook has support for over 40 programming languages, including Python, R, Julia, and Scala.11 * **Language of choice** \\ The Notebook has support for over 40 programming languages, including Python, R, Julia, and Scala. 11 12 12 * Share notebooks\\ Notebooks can be shared with others using email, Dropbox, !GitHub and the Jupyter Notebook Viewer.13 * **Share notebooks** \\ Notebooks can be shared with others using email, Dropbox, !GitHub and the Jupyter Notebook Viewer. 13 14 14 * Interactive output\\ Your code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types.15 * **Interactive output** \\ Your code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types. 15 16 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 17 * **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. 18 18 19 19 more: … … 25 25 * Jupyter Notebook Gallery (https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks) 26 26 27 === Run Jupyter 27 === !JupyterLab 28 !JupyterLab is the advanced interactive development environment for working with notebooks, code and data and has full support for Jupyter Notebooks. But additionally, !JupyterLab enables you to use 29 * text editors, terminals 30 * data file viewers 31 * and other custom components 32 side by side with Jupyter Notebooks in a tabbed work area. 33 34 === Run Jupyter / !JupyterLab 28 35 [[Image(jupyterpreview.png, 200px, align=right, margin=10)]] 29 36 … … 40 47 This might not suite your needs and you want to switch to a different software stage or want to load additional software modules. In that case you need to set up your own specialized Jupyter kernel. This can be done in a few steps: 41 48 49 ---- 42 50 51 === Develop for JupyterLab 52 TypeScript, React, Lerna, Yarn, and webpack 43 53 44 54 ----