{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# TITLE"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Objective"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"::**DESCRIPTION OF OBJECTIVE**::"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Environment Setup"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Configure notebook style (see NBCONFIG.ipynb), add imports and paths. The **%run** magic used below **requires IPython 2.0 or higher.**"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: pylab import has clobbered these variables: ['plotting']\n",
"`%matplotlib` prevents importing * from pylab and numpy\n"
]
},
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%run NBCONFIG.ipynb"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Step 1: ::Description Step 1::"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Explanation of step 1"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"
\n",
"\n",
"\n",
"\n",
"
\n",
"
\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
" This notebook is free for redistribution. If citing, please reference as:
\n",
"- *Hughes, A. (2012). [A Computational Framework for Plasmonic Nanobiosensing](https://www.researchgate.net/publication/236672995_A_Computational_Framework_for_Plasmonic_Nanobiosensing). Python in Science Conference [SCIPY].* \n",
"\n",
"\n",
" Questions or Feedback?
\n",
"\n",
"* skspec@groups.google.com\n",
"* hugadams@gwmail.gwu.edu \n",
"* twitter: @hughesadam87\n",
"* Mark Reeves Biophysics Group\n",
"\n",
"\n",
"\n",
"\n",
" References:
\n",
"\n",
"* [1] : **REF 1**\n",
"* [2] : **REF 2**\n",
"\n",
"\n",
"\n",
"\n",
"\n",
" Related:
\n",
"\n",
" * scikit-spectra: Exploratory Spectral Data Analysis\n",
" * pyparty: Image Analysis of Particles\n",
" * Lorena A. Barba (GWU Engineering)\n",
" * xray: extended arrays for scientific datasets\n",
"\n",
"\n",
"\n",
"Notebook styling ideas:
\n",
"\n",
"* Louic's web blog\n",
"* Plotly\n",
"* Publication-ready the first time: Beautiful, reproducible plots with Matplotlib\n",
"\n",
"
\n",
"
"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "IPython (Python 2)",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.9"
},
"signature": "sha256:58ff6d2a41c58ca123f96f6978d2ea5047a4c2e858e8aa9e70add32e3cb52d6a"
},
"nbformat": 4,
"nbformat_minor": 0
}