From adfa0a3f6551c3b85daa5983419bc718e67b509a Mon Sep 17 00:00:00 2001 From: Satrajit Ghosh Date: Sun, 23 Oct 2016 18:28:02 -0400 Subject: [PATCH] added initial pieces for mybinder --- index.ipynb | 265 ++++++++++++++++++ static/css_backup/homepage-package-56904b.css | 41 +++ static/css_backup/mobile-package-5669d8.css | 13 + static/images/bids.png | Bin 0 -> 70549 bytes static/images/jupyter_function-completion.png | Bin 0 -> 11371 bytes static/images/jupyter_tab-4-times.png | Bin 0 -> 41786 bytes static/images/jupyter_tab-once.png | Bin 0 -> 16370 bytes static/images/jupyter_tab-twice.png | Bin 0 -> 34769 bytes static/images/nipype_architecture.png | Bin 0 -> 196786 bytes static/images/nipype_example_graph.png | Bin 0 -> 107133 bytes static/images/node_sinlge_node.png | Bin 0 -> 3419 bytes static/images/node_two_nodes.png | Bin 0 -> 10955 bytes 12 files changed, 319 insertions(+) create mode 100644 index.ipynb create mode 100644 static/css_backup/homepage-package-56904b.css create mode 100644 static/css_backup/mobile-package-5669d8.css create mode 100644 static/images/bids.png create mode 100644 static/images/jupyter_function-completion.png create mode 100644 static/images/jupyter_tab-4-times.png create mode 100644 static/images/jupyter_tab-once.png create mode 100644 static/images/jupyter_tab-twice.png create mode 100644 static/images/nipype_architecture.png create mode 100644 static/images/nipype_example_graph.png create mode 100644 static/images/node_sinlge_node.png create mode 100644 static/images/node_two_nodes.png diff --git a/index.ipynb b/index.ipynb new file mode 100644 index 0000000..11c2a52 --- /dev/null +++ b/index.ipynb @@ -0,0 +1,265 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "
\n", + " \n", + "
\n", + "
\n", + "

Nipype Tutorial

\n", + "

Welcome to the Nipype Tutorial! This tutorial will teach you all essentials about Nipype so that you go from\n", + " beginner to expert in no time. The tutorial will try to cover the most common concepts and use cases, but for\n", + " everything that isn't covered here, check out the main homepage under nipype.readthedocs.io.\n", + "

\n", + " This tutorial is completly web based. This means that you don't have to install anything on your system to run it. It all runs on \n", + " http://mybinder.org/. This web environment provides next to Nipype the most\n", + " common python modules, as well as a fully functioning FSL and AFNI. But remember that all this runs on a web\n", + " server. So don't expect enorme computiational power and don't overcharge the server, please. This environment\n", + " should only be used for the purpose of this tutorial. And thanks again to the amazing\n", + " mybinder.org team for providing this cool service for free.

\n", + "
\n", + "\n", + " \n", + "\n", + " \n", + "\n", + "

Overview

\n", + "
\n", + " Nipype\n", + " Jupyter-Notebook\n", + " Python\n", + " Tutorial Dataset\n", + "
\n", + "

This section is meant as a general overview. It should give you a short introduction to the main topics that\n", + " you need to understand to use Nipype and this tutorial.

\n", + "\n", + "

Basic Concepts

\n", + "
\n", + " Interfaces\n", + " Nodes\n", + " Workflow\n", + " Graph Visualization\n", + " Data Input\n", + " Data Output\n", + " Iteration / Iterables*\n", + " Function Nodes\n", + " MapNodes*\n", + " JoinNodes*\n", + " Errors & Crashes*\n", + " Plugins / Distributed Computing\n", + "
\n", + "

This section will introduce you to all the key players in Nipype. Basic concepts that you need to learn to\n", + " fully understand and appreciate Nipype. Once you understand this section, you will know all that you need to know\n", + " to create any kind of Nipype workflow.

\n", + "\n", + "

Advanced Applications

\n", + "
\n", + " Execution Configuration\n", + " Resource Scheduling and Profiling\n", + " Commandline\n", + " Caching\n", + " Connect to Databases\n", + "
\n", + "

This section will bring you further down the rabbit hole and will help you to unleash neuroimaging powers\n", + " that you didn't know that existed.

\n", + "\n", + "

Useful Resources

\n", + "
\n", + " Installation of Nipype*\n", + " FAQ\n", + " Usefull Resources\n", + " Help\n", + " Python Cheat Sheet\n", + "
\n", + "

This section will give you helpfull links and resources, so that you always know where to go to should you ever get stuck\n", + " with this tutorial.

\n", + "\n", + "

Development

\n", + "
\n", + " Report an Issue*\n", + " Submit Code via Github*\n", + " Future Tutorial Ideas\n", + "
\n", + "

This section will show you how to become part of the Nipype community and how to contribute to Nipype and this tutorial.

\n", + "\n", + "
\n", + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "\n", + "

You want to help with this tutorial?

\n", + "

You can find the github repo of this tutorial under https://github.com/miykael/nipype_tutorial.\n", + " Feel free to send us a pull request or leave us an issue with your feedback or ideas.\n", + "

\n", + "An alternative option to reach us is via the slack channel https://brainhack.slack.com/messages/nipype/.

\n", + "Click on the following button to access the tree structure of this notebook:

\n", + "The layout of this page was adapted from www.khanacademy.org/library.\n", + "To inspect the corresponding html code, click on:
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%%html\n", + "\n", + "\n", + "\n", + " \n", + "\n", + "
\n", + " \n", + "
\n", + "
\n", + "

Analysis methods

\n", + "

This notebook documents the steps used to analyze the data and produce figures for the associated \n", + " article. You can rerun the analysis steps on your own environment. You can also run the analysis on \n", + " a Web service provided by Jeremy Freeman's group from Janelia farm \n", + " mybinder.org team

\n", + "
\n", + "\n", + " \n", + "\n", + " \n", + "\n", + "

Data preparation

\n", + "

These notebooks encode how the data were generated from existing available datasets. We use data \n", + " from the Human Connectome Project and Cocomac database.\n", + "

\n", + "
\n", + " Create human connectome\n", + " Create macaque connectome\n", + "
\n", + "\n", + "

Embedding data

\n", + "

This notebook describes

\n", + "
\n", + " Python\n", + "
\n", + "\n", + "

Advanced Applications

\n", + "
\n", + " Execution Configuration\n", + " Resource Scheduling and Profiling\n", + " Commandline\n", + " Caching\n", + " Connect to Databases\n", + "
\n", + "

This section will bring you further down the rabbit hole and will help you to unleash neuroimaging powers\n", + " that you didn't know that existed.

\n", + "\n", + "

Useful Resources

\n", + "
\n", + " Installation of Nipype*\n", + " FAQ\n", + " Usefull Resources\n", + " Help\n", + " Python Cheat Sheet\n", + "
\n", + "

This section will give you helpfull links and resources, so that you always know where to go to should you ever get stuck\n", + " with this tutorial.

\n", + "\n", + "

Development

\n", + "
\n", + " Report an Issue*\n", + " Submit Code via Github*\n", + " Future Tutorial Ideas\n", + "
\n", + "

This section will show you how to become part of the Nipype community and how to contribute to Nipype and this tutorial.

\n", + "\n", + "
\n", + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
\n", + "\n", + "

You want to help with this tutorial?

\n", + "

You can find the github repo of this tutorial under https://github.com/miykael/nipype_tutorial.\n", + " Feel free to send us a pull request or leave us an issue with your feedback or ideas.\n", + "

\n", + "An alternative option to reach us is via the slack channel https://brainhack.slack.com/messages/nipype/.

\n", + "Click on the following button to access the tree structure of this notebook:

\n", + "The layout of this page was adapted from www.khanacademy.org/library.\n", + "To inspect the corresponding html code, click on:
" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.2" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/static/css_backup/homepage-package-56904b.css b/static/css_backup/homepage-package-56904b.css new file mode 100644 index 0000000..3840f35 --- /dev/null +++ b/static/css_backup/homepage-package-56904b.css @@ -0,0 +1,41 @@ +html,body,div,span,applet,object,iframe,h1,h2,h3,h4,h5,h6,p,blockquote,pre,a,abbr,acronym,address,big,cite,code,del,dfn,em,img,ins,kbd,q,s,samp,small,strike,strong,sub,sup,tt,var,b,u,i,center,dl,dt,dd,ol,ul,li,fieldset,form,label,legend,table,caption,tbody,tfoot,thead,tr,th,td,article,aside,canvas,details,embed,figure,figcaption,footer,header,hgroup,menu,nav,output,ruby,section,summary,time,mark,audio,video{margin:0;padding:0;border:0;font-size:100%;font:inherit;vertical-align:baseline}article,aside,details,figcaption,figure,footer,header,hgroup,menu,nav,section{display:block}body{line-height:1}ol,ul{list-style:none}blockquote,q{quotes:none}blockquote:before,blockquote:after,q:before,q:after{content:'';content:none}table{border-collapse:collapse;border-spacing:0} +.qtip{position:absolute;left:-28000px;top:-28000px;display:none;max-width:280px;min-width:50px;font-size:10.5px;line-height:12px;direction:ltr;box-shadow:none;padding:0}.qtip-content{position:relative;padding:5px 9px;overflow:hidden;text-align:left;word-wrap:break-word}.qtip-titlebar{position:relative;padding:5px 35px 5px 10px;overflow:hidden;border-width:0 0 1px;font-weight:bold}.qtip-titlebar+.qtip-content{border-top-width:0!important}.qtip-close{position:absolute;right:-9px;top:-9px;cursor:pointer;outline:medium none;border-width:1px;border-style:solid;border-color:transparent}.qtip-titlebar .qtip-close{right:4px;top:50%;margin-top:-9px}* html .qtip-titlebar .qtip-close{top:16px}.qtip-titlebar .ui-icon,.qtip-icon .ui-icon{display:block;text-indent:-1000em;direction:ltr}.qtip-icon,.qtip-icon .ui-icon{border-radius:3px;text-decoration:none}.qtip-icon .ui-icon{width:18px;height:14px;line-height:14px;text-align:center;text-indent:0;font:normal bold 10px/13px Tahoma,sans-serif;color:inherit;background:transparent none no-repeat -100em -100em}.qtip-default{border-width:1px;border-style:solid;border-color:#f1d031;background-color:#ffffa3;color:#555}.qtip-default .qtip-titlebar{background-color:#ffef93}.qtip-default .qtip-icon{border-color:#CCC;background:#f1f1f1;color:#777}.qtip-default .qtip-titlebar .qtip-close{border-color:#AAA;color:#111}/*! 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