Anaconda Individual Edition is the world’s most popular Python distribution platform with over 20 million users worldwide. You can trust in our long-term commitment to supporting the Anaconda open-source ecosystem, the platform of choice for Python data science. Sudo port install py35-numpy py35-scipy py35-matplotlib py35-ipython + notebook py35-pandas py35-sympy py35-nose Homebrew has an incomplete coverage of the SciPy ecosystem, but does install these packages. I am getting started with Python¶. For new users who want to install a full Python environment for scientific computing and data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packages for scientific computing and data science.
Latest version
You can download IPython Launcher 0.10 for Mac from our application library for free. The most popular version among the program users is 0.1. The common filenames for the program's installer are ipythonlauncher.app.zip or IPython%20Launcher.app.zip etc. You can set up this free app on Mac OS X 10.9 or later.
Released:
https://clevershirts735.weebly.com/blog/wacom-inkling-software-download-mac. This project allows users to use Unidata's IDV with jupyter notebooks
Project description
[![Build Status](https://travis-ci.org/Unidata/ipython_IDV.svg?branch=master)](https://travis-ci.org/piqueen314/ipython_IDV)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) # ipython_IDV ### Part of the [EarthCube DRILSDOWN project](https://brianmapes.github.io/EarthCube-DRILSDOWN/) Extension for IPython Notebooks to provide line and cell magics to call out to Unidata's [Integrated Data Viewer](https://github.com/Unidata/IDV) ### To set it up: 1. After installing Jupyter/iPython notebook software [like this](https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/), you will also need to install the [ipywidgets package](https://ipywidgets.readthedocs.io/en/latest/user_install.html) 2. Once Jupyter/iPython is ready, copy [drilsdown.py](https://github.com/Unidata/ipython_IDV/blob/master/drilsdown.py) to your local extensions directory, _~/.ipython/extensions_ 3. To run IDV commands from the Notebook, you will need to have installed [IDV version 5.4 or later](http://www.unidata.ucar.edu/software/idv/nightly/). Also, you need to set your IDV_HOME environment variable to be the IDV install directory, so that python can execute the command ${IDV_HOME}/runIDV 4. You also need to configure your IDV to accept connections from the ipython notebook. To do this set the following property in your local ~/.unidata/idv/DefaultIdv/idv.properties file: <pre> idv.monitorport = 8765 </pre> -------- ### Now you've done the 4 steps above. When you launch _jupyter notebook_, and run an iPython notebook in your browser, do this in the notebook: <pre> %load_ext drilsdown </pre> That will give you a dashboard-style view of many of the ways the Notebook can launch and interact with The IDV, and find resources such as existing bundles, data catalogs, and more, including a link to the help section. If you plan on writing Python code in this notbeook (rather then merely capturing images and notes about a case study IDV session), you should import the Idv and Ramadda classes: <pre> from drilsdown import Idv from drilsdown import Ramadda </pre> We welcome your use cases! Email mapes at miami dot edu. See examples [below](https://github.com/Unidata/ipython_IDV/blob/master/README.md#examples). --------- #### Publishing to RAMADDA, using the IDV's capabilities If you want to enable your IDV to publish to a RAMADDA server, get [ramaddaplugin.jar](https://github.com/Unidata/ipython_IDV/blob/master/ramaddaplugin.jar). Copy this file to your local IDV plugins directory (~/.unidata/idv/DefaultIdv/plugins). While it is not a plain text code file, it is included in this repo so all of the products that are required for running drilsdown can be found in one place. --------- #### Setting up your own RAMADDA to handle DRILSDOWN Case Study objects If you operate a RAMADDA, and want it to host DRILSDOWN _Case Study_ digital objects, get [drilsdownplugin.jar](https://github.com/Unidata/ipython_IDV/blob/master/drilsdownplugin.jar), put it in your RAMADDA installation's _plugins_ area, and restart. It is produced from the code at [RAMADDA drilsdown repository](https://github.com/Unidata/drilsdown) but is included here so all of the products that are required for running drilsdown can be found in one place. <h2>Examples of Python notebooks calling DRILSDOWN and The IDV:</h2> Here is an example of how to use the API to load an IDV bundle with different bounding boxes and capture images <pre> from drilsdown import Idv Idv.fileUrl='http://geodesystems.com/repository/entry/get?entryid=d83e0924-008d-4025-9517-394e9f13712f' bboxes = [[50,-130,40,-100],[50,-100,40,-75],[40,-130,20,-100],[40,-100,20,-75]] for i in range(len(bboxes)): bbox=bboxes[i]; Idv.loadBundle(Idv.fileUrl,bbox) Idv.makeImage(caption='BBOX:' + repr(bbox[0]) +'/' + repr(bbox[1]) +' ' + repr(bbox[2]) +'/' + repr(bbox[3])) </pre> <pre> from drilsdown import Idv Idv.fileUrl='http://geodesystems.com/repository/entry/get?entryid=d83e0924-008d-4025-9517-394e9f13712f' bboxes = [[50,-130,40,-100],[50,-100,40,-75],[40,-130,20,-100],[40,-100,20,-75]] for i in range(len(bboxes)): bbox=bboxes[i]; Idv.loadBundle(Idv.fileUrl,bbox); label = 'BBOX:' + repr(bbox[0]) +'/' + repr(bbox[1]) +' ' + repr(bbox[2]) +'/' + repr(bbox[3]); Idv.makeMovie(caption=label,display=True, publish={'parent':'9adf32b5-aad4-4a8d-997e-216b9757d240','name':'Image #' + repr(i)}) </pre> The makeImage can take one of 2 forms of a publish argument. The first is a boolean and will result in the IDV popping up its RAMADDA publish dialog box where the image can be published. <pre> Idv.makeImage(caption=label, publish=True); </pre> In the second form the publish argument is a map. This directs the python to do the publishing directly to RAMADDA. The map can contain a parent member which is the entry id to publish to and a name member which is the entry name. <pre> Idv.makeImage(caption=label, publish={'parent':'9adf32b5-aad4-4a8d-997e-216b9757d240','name':'Image #' + repr(i)}) </pre> To enable direct publishing to RAMADDA you need to have your RAMADDA user name and password defined as environment variables: <pre> export RAMADDA_USER= export RAMADDA_PASSWORD= </pre> Release historyRelease notifications | RSS feed
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