%s cell
\" % cell.cell_type)\n", - " if cell.cell_type == 'code':\n", - " html.append(highlight(cell.source, lexer, formatter))\n", - " else:\n", - " html.append(\"%s\" % cell.source)\n", - " display(HTML('\\n'.join(html)))\n", - "\n", - "show_notebook(os.path.join(\"nbpackage\", \"mynotebook.ipynb\"))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "So my notebook has some code cells,\n", - "one of which contains some IPython syntax.\n", - "\n", - "Let's see what happens when we import it" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from nbpackage import mynotebook" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Hooray, it imported! Does it work?" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "mynotebook.foo()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Hooray again!\n", - "\n", - "Even the function that contains IPython syntax works:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "mynotebook.has_ip_syntax()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Notebooks in packages" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We also have a notebook inside the `nb` package,\n", - "so let's make sure that works as well." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "ls nbpackage/nbs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that the `__init__.py` is necessary for `nb` to be considered a package,\n", - "just like usual." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "show_notebook(os.path.join(\"nbpackage\", \"nbs\", \"other.ipynb\"))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from nbpackage.nbs import other\n", - "other.bar(5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "So now we have importable notebooks, from both the local directory and inside packages.\n", - "\n", - "I can even put a notebook inside IPython, to further demonstrate that this is working properly:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import shutil\n", - "from IPython.paths import get_ipython_package_dir\n", - "\n", - "utils = os.path.join(get_ipython_package_dir(), 'utils')\n", - "shutil.copy(os.path.join(\"nbpackage\", \"mynotebook.ipynb\"),\n", - " os.path.join(utils, \"inside_ipython.ipynb\")\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "and import the notebook from `IPython.utils`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from IPython.utils import inside_ipython\n", - "inside_ipython.whatsmyname()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This approach can even import functions and classes that are defined in a notebook using the `%%cython` magic." - ] - } - ], - "metadata": { - "gist_id": "6011986", - "nbsphinx": { - "execute": "never" - }, - "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": "3.5.1+" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/docs/source/examples/Notebook/JavaScript Notebook Extensions.ipynb b/docs/source/examples/Notebook/JavaScript Notebook Extensions.ipynb deleted file mode 100644 index 8d44100b6b..0000000000 --- a/docs/source/examples/Notebook/JavaScript Notebook Extensions.ipynb +++ /dev/null @@ -1,603 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Embracing web standards" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "One of the main reasons why we developed the current notebook web application \n", - "was to embrace the web technology. \n", - "\n", - "By being a pure web application using HTML, JavaScript, and CSS, the Notebook can get \n", - "all the web technology improvement for free. Thus, as browser support for different \n", - "media extend, the notebook web app should be able to be compatible without modification. \n", - "\n", - "This is also true with performance of the User Interface as the speed of JavaScript VM increases. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The other advantage of using only web technology is that the code of the interface is fully accessible to the end user and is modifiable live.\n", - "Even if this task is not always easy, we strive to keep our code as accessible and reusable as possible.\n", - "This should allow us - with minimum effort - development of small extensions that customize the behavior of the web interface. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Tampering with the Notebook application" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The first tool that is available to you and that you should be aware of are browser \"developers tool\". The exact naming can change across browser and might require the installation of extensions. But basically they can allow you to inspect/modify the DOM, and interact with the JavaScript code that runs the frontend.\n", - "\n", - " - In Chrome and Safari, Developer tools are in the menu `View > Developer > JavaScript Console` \n", - " - In Firefox you might need to install [Firebug](http://getfirebug.com/)\n", - " \n", - "Those will be your best friends to debug and try different approaches for your extensions." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Injecting JS" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Using magics" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The above tools can be tedious for editing edit long JavaScript files. Therefore we provide the `%%javascript` magic. This allows you to quickly inject JavaScript into the notebook. Still the JavaScript injected this way will not survive reloading. Hence, it is a good tool for testing and refining a script.\n", - "\n", - "You might see here and there people modifying css and injecting js into the notebook by reading file(s) and publishing them into the notebook.\n", - "Not only does this often break the flow of the notebook and make the re-execution of the notebook broken, but it also means that you need to execute those cells in the entire notebook every time you need to update the code.\n", - "\n", - "This can still be useful in some cases, like the `%autosave` magic that allows you to control the time between each save. But this can be replaced by a JavaScript dropdown menu to select the save interval." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "## you can inspect the autosave code to see what it does.\n", - "%autosave??" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### custom.js" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To inject JavaScript we provide an entry point: `custom.js` that allows the user to execute and load other resources into the notebook.\n", - "JavaScript code in `custom.js` will be executed when the notebook app starts and can then be used to customize almost anything in the UI and in the behavior of the notebook.\n", - "\n", - "`custom.js` can be found in the `~/.jupyter/custom/custom.js`. You can share your custom.js with others." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "##### Back to theory" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from jupyter_core.paths import jupyter_config_dir\n", - "jupyter_dir = jupyter_config_dir()\n", - "jupyter_dir" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "and custom js is in " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import os.path\n", - "custom_js_path = os.path.join(jupyter_dir, 'custom', 'custom.js')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# my custom js\n", - "if os.path.isfile(custom_js_path):\n", - " with open(custom_js_path) as f:\n", - " print(f.read())\n", - "else:\n", - " print(\"You don't have a custom.js file\") " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that `custom.js` is meant to be modified by user. When writing a script, you can define it in a separate file and add a line of configuration into `custom.js` that will fetch and execute the file." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Warning** : even if modification of `custom.js` takes effect immediately after browser refresh (except if browser cache is aggressive), *creating* a file in `static/` directory needs a **server restart**." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Exercise :" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - " - Create a `custom.js` in the right location with the following content:\n", - "```javascript\n", - "alert(\"hello world from custom.js\")\n", - "```\n", - "\n", - " - Restart your server and open any notebook.\n", - " - Be greeted by custom.js" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Have a look at [default custom.js](https://github.com/jupyter/notebook/blob/4.0.x/notebook/static/custom/custom.js), to see it's content and for more explanation." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### For the quick ones : " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We've seen above that you can change the autosave rate by using a magic. This is typically something I don't want to type every time, and that I don't like to embed into my workflow and documents. (readers don't care what my autosave time is). Let's build an extension that allows us to do it. " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "foo": true - }, - "source": [ - "Create a dropdown element in the toolbar (DOM `Jupyter.toolbar.element`), you will need \n", - "\n", - "- `Jupyter.notebook.set_autosave_interval(milliseconds)`\n", - "- know that 1 min = 60 sec, and 1 sec = 1000 ms" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```javascript\n", - "\n", - "var label = jQuery('').text('AutoScroll Limit:');\n", - "var select = jQuery('')\n", - " //.append(jQuery('').attr('value', '2').text('2min (default)'))\n", - " .append(jQuery('').attr('value', undefined).text('disabled'))\n", - "\n", - " // TODO:\n", - " //the_toolbar_element.append(label)\n", - " //the_toolbar_element.append(select);\n", - " \n", - "select.change(function() {\n", - " var val = jQuery(this).val() // val will be the value in [2]\n", - " // TODO\n", - " // this will be called when dropdown changes\n", - "\n", - "});\n", - "\n", - "var time_m = [1,5,10,15,30];\n", - "for (var i=0; i < time_m.length; i++) {\n", - " var ts = time_m[i];\n", - " //[2] ____ this will be `val` on [1] \n", - " // | \n", - " // v \n", - " select.append($('').attr('value', ts).text(thr+'min'));\n", - " // this will fill up the dropdown `select` with\n", - " // 1 min\n", - " // 5 min\n", - " // 10 min\n", - " // 10 min\n", - " // ...\n", - "}\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### A non-interactive example first" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "I like my cython to be nicely highlighted\n", - "\n", - "```javascript\n", - "Jupyter.config.cell_magic_highlight['magic_text/x-cython'] = {}\n", - "Jupyter.config.cell_magic_highlight['magic_text/x-cython'].reg = [/^%%cython/]\n", - "```\n", - "\n", - "`text/x-cython` is the name of CodeMirror mode name, `magic_` prefix will just patch the mode so that the first line that contains a magic does not screw up the highlighting. `reg`is a list or regular expression that will trigger the change of mode." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Get more documentation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Sadly, you will have to read the js source file (but there are lots of comments) and/or build the JavaScript documentation using yuidoc.\n", - "If you have `node` and `yui-doc` installed:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```bash\n", - "$ cd ~/jupyter/notebook/notebook/static/notebook/js/\n", - "$ yuidoc . --server\n", - "warn: (yuidoc): Failed to extract port, setting to the default :3000\n", - "info: (yuidoc): Starting YUIDoc@0.3.45 using YUI@3.9.1 with NodeJS@0.10.15\n", - "info: (yuidoc): Scanning for yuidoc.json file.\n", - "info: (yuidoc): Starting YUIDoc with the following options:\n", - "info: (yuidoc):\n", - "{ port: 3000,\n", - " nocode: false,\n", - " paths: [ '.' ],\n", - " server: true,\n", - " outdir: './out' }\n", - "info: (yuidoc): Scanning for yuidoc.json file.\n", - "info: (server): Starting server: http://127.0.0.1:3000\n", - "```\n", - "\n", - "and browse http://127.0.0.1:3000 to get documentation" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "foo": true - }, - "source": [ - "#### Some convenience methods" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "By browsing the documentation you will see that we have some convenience methods that allows us to avoid re-inventing the UI every time :\n", - "```javascript\n", - "Jupyter.toolbar.add_buttons_group([\n", - " {\n", - " 'label' : 'run qtconsole',\n", - " 'icon' : 'fa-terminal', // select your icon from \n", - " // http://fontawesome.io/icons/\n", - " 'callback': function(){Jupyter.notebook.kernel.execute('%qtconsole')}\n", - " }\n", - " // add more button here if needed.\n", - " ]);\n", - "```\n", - "with a [lot of icons] you can select from. \n", - "\n", - "[lot of icons]: http://fontawesome.io/icons/" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "foo": true - }, - "source": [ - "## Cell Metadata" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "foo": true - }, - "source": [ - "The most requested feature is generally to be able to distinguish an individual cell in the notebook, or run a specific action with them.\n", - "To do so, you can either use `Jupyter.notebook.get_selected_cell()`, or rely on `CellToolbar`. This allows you to register a set of actions and graphical elements that will be attached to individual cells." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Cell Toolbar" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can see some example of what can be done by toggling the `Cell Toolbar` selector in the toolbar on top of the notebook. It provides two default `presets` that are `Default` and `slideshow`. Default allows the user to edit the metadata attached to each cell manually." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First we define a function that takes at first parameter an element on the DOM in which to inject UI element. The second element is the cell this element wis registered with. Then we will need to register that function and give it a name.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Register a callback" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%%javascript\n", - "var CellToolbar = Jupyter.CellToolbar\n", - "var toggle = function(div, cell) {\n", - " var button_container = $(div)\n", - "\n", - " // let's create a button that shows the current value of the metadata\n", - " var button = $('').addClass('btn btn-mini').text(String(cell.metadata.foo));\n", - "\n", - " // On click, change the metadata value and update the button label\n", - " button.click(function(){\n", - " var v = cell.metadata.foo;\n", - " cell.metadata.foo = !v;\n", - " button.text(String(!v));\n", - " })\n", - "\n", - " // add the button to the DOM div.\n", - " button_container.append(button);\n", - "}\n", - "\n", - " // now we register the callback under the name foo to give the\n", - " // user the ability to use it later\n", - " CellToolbar.register_callback('tuto.foo', toggle);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Registering a preset" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This function can now be part of many `preset` of the CellToolBar." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false, - "foo": true, - "slideshow": { - "slide_type": "subslide" - } - }, - "outputs": [], - "source": [ - "%%javascript\n", - "Jupyter.CellToolbar.register_preset('Tutorial 1',['tuto.foo','default.rawedit'])\n", - "Jupyter.CellToolbar.register_preset('Tutorial 2',['slideshow.select','tuto.foo'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You should now have access to two presets :\n", - "\n", - " - Tutorial 1\n", - " - Tutorial 2\n", - " \n", - "And check that the buttons you defined share state when you toggle preset. \n", - "Also check that the metadata of the cell is modified when you click the button, and that when saved on reloaded the metadata is still available." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Exercise:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Try to wrap the all code in a file, put this file in `{jupyter_dir}/custom/
\n",
- "Enter edit mode by pressing `Enter` or using the mouse to click on a cell's editor area.\n",
- "
"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Command mode"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Command mode is indicated by a grey cell border with a blue left margin:\n",
- "\n",
- "\n",
- "\n",
- "When you are in command mode, you are able to edit the notebook as a whole, but not type into individual cells. Most importantly, in command mode, the keyboard is mapped to a set of shortcuts that let you perform notebook and cell actions efficiently. For example, if you are in command mode and you press `c`, you will copy the current cell - no modifier is needed."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "Don't try to type into a cell in command mode; unexpected things will happen!\n",
- "
"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "Enter command mode by pressing `Esc` or using the mouse to click *outside* a cell's editor area.\n",
- "
"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Mouse navigation"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "All navigation and actions in the Notebook are available using the mouse through the menubar and toolbar, which are both above the main Notebook area:\n",
- "\n",
- ""
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The first idea of mouse based navigation is that **cells can be selected by clicking on them.** The currently selected cell gets a grey or green border depending on whether the notebook is in edit or command mode. If you click inside a cell's editor area, you will enter edit mode. If you click on the prompt or output area of a cell you will enter command mode.\n",
- "\n",
- "If you are running this notebook in a live session (not on http://nbviewer.jupyter.org) try selecting different cells and going between edit and command mode. Try typing into a cell."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The second idea of mouse based navigation is that **cell actions usually apply to the currently selected cell**. Thus if you want to run the code in a cell, you would select it and click the button in the toolbar or the \"Cell:Run\" menu item. Similarly, to copy a cell you would select it and click the button in the toolbar or the \"Edit:Copy\" menu item. With this simple pattern, you should be able to do most everything you need with the mouse.\n",
- "\n",
- "Markdown cells have one other state that can be modified with the mouse. These cells can either be rendered or unrendered. When they are rendered, you will see a nice formatted representation of the cell's contents. When they are unrendered, you will see the raw text source of the cell. To render the selected cell with the mouse, click the button in the toolbar or the \"Cell:Run\" menu item. To unrender the selected cell, double click on the cell."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Keyboard Navigation"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The modal user interface of the Jupyter Notebook has been optimized for efficient keyboard usage. This is made possible by having two different sets of keyboard shortcuts: one set that is active in edit mode and another in command mode.\n",
- "\n",
- "The most important keyboard shortcuts are `Enter`, which enters edit mode, and `Esc`, which enters command mode.\n",
- "\n",
- "In edit mode, most of the keyboard is dedicated to typing into the cell's editor. Thus, in edit mode there are relatively few shortcuts. In command mode, the entire keyboard is available for shortcuts, so there are many more. The `Help`->`Keyboard Shortcuts` dialog lists the available shortcuts."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "We recommend learning the command mode shortcuts in the following rough order:\n",
- "\n",
- "1. Basic navigation: `enter`, `shift-enter`, `up/k`, `down/j`\n",
- "2. Saving the notebook: `s`\n",
- "2. Change Cell types: `y`, `m`, `1-6`, `t`\n",
- "3. Cell creation: `a`, `b`\n",
- "4. Cell editing: `x`, `c`, `v`, `d`, `z`\n",
- "5. Kernel operations: `i`, `0` (press twice)"
- ]
- }
- ],
- "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": 1
-}
diff --git a/docs/source/examples/Notebook/Running Code.ipynb b/docs/source/examples/Notebook/Running Code.ipynb
deleted file mode 100644
index f0ffca9390..0000000000
--- a/docs/source/examples/Notebook/Running Code.ipynb
+++ /dev/null
@@ -1,886 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Running Code"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "First and foremost, the Jupyter Notebook is an interactive environment for writing and running code. The notebook is capable of running code in a wide range of languages. However, each notebook is associated with a single kernel. This notebook is associated with the IPython kernel, therefore runs Python code."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Code cells allow you to enter and run code"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Run a code cell using `Shift-Enter` or pressing the button in the toolbar above:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "a = 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "10\n"
- ]
- }
- ],
- "source": [
- "print(a)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "There are two other keyboard shortcuts for running code:\n",
- "\n",
- "* `Alt-Enter` runs the current cell and inserts a new one below.\n",
- "* `Ctrl-Enter` run the current cell and enters command mode."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Managing the Kernel"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Code is run in a separate process called the Kernel. The Kernel can be interrupted or restarted. Try running the following cell and then hit the button in the toolbar above."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "import time\n",
- "time.sleep(10)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "If the Kernel dies you will be prompted to restart it. Here we call the low-level system libc.time routine with the wrong argument via\n",
- "ctypes to segfault the Python interpreter:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "import sys\n",
- "from ctypes import CDLL\n",
- "# This will crash a Linux or Mac system\n",
- "# equivalent calls can be made on Windows\n",
- "\n",
- "# Uncomment these lines if you would like to see the segfault\n",
- "\n",
- "# dll = 'dylib' if sys.platform == 'darwin' else 'so.6'\n",
- "# libc = CDLL(\"libc.%s\" % dll) \n",
- "# libc.time(-1) # BOOM!!"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Cell menu"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The \"Cell\" menu has a number of menu items for running code in different ways. These includes:\n",
- "\n",
- "* Run and Select Below\n",
- "* Run and Insert Below\n",
- "* Run All\n",
- "* Run All Above\n",
- "* Run All Below"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Restarting the kernels"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The kernel maintains the state of a notebook's computations. You can reset this state by restarting the kernel. This is done by clicking on the in the toolbar above."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## sys.stdout and sys.stderr"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The stdout and stderr streams are displayed as text in the output area."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "hi, stdout\n"
- ]
- }
- ],
- "source": [
- "print(\"hi, stdout\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "hi, stderr\n"
- ]
- }
- ],
- "source": [
- "from __future__ import print_function\n",
- "print('hi, stderr', file=sys.stderr)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Output is asynchronous"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "All output is displayed asynchronously as it is generated in the Kernel. If you execute the next cell, you will see the output one piece at a time, not all at the end."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "0\n",
- "1\n",
- "2\n",
- "3\n",
- "4\n",
- "5\n",
- "6\n",
- "7\n"
- ]
- }
- ],
- "source": [
- "import time, sys\n",
- "for i in range(8):\n",
- " print(i)\n",
- " time.sleep(0.5)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Large outputs"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "To better handle large outputs, the output area can be collapsed. Run the following cell and then single- or double- click on the active area to the left of the output:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "0\n",
- "1\n",
- "2\n",
- "3\n",
- "4\n",
- "5\n",
- "6\n",
- "7\n",
- "8\n",
- "9\n",
- "10\n",
- "11\n",
- "12\n",
- "13\n",
- "14\n",
- "15\n",
- "16\n",
- "17\n",
- "18\n",
- "19\n",
- "20\n",
- "21\n",
- "22\n",
- "23\n",
- "24\n",
- "25\n",
- "26\n",
- "27\n",
- "28\n",
- "29\n",
- "30\n",
- "31\n",
- "32\n",
- "33\n",
- "34\n",
- "35\n",
- "36\n",
- "37\n",
- "38\n",
- "39\n",
- "40\n",
- "41\n",
- "42\n",
- "43\n",
- "44\n",
- "45\n",
- "46\n",
- "47\n",
- "48\n",
- "49\n"
- ]
- }
- ],
- "source": [
- "for i in range(50):\n",
- " print(i)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Beyond a certain point, output will scroll automatically:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "0\n",
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- "127\n",
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- "511\n",
- "1023\n",
- "2047\n",
- "4095\n",
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- "16383\n",
- "32767\n",
- "65535\n",
- "131071\n",
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- ]
- }
- ],
- "source": [
- "for i in range(500):\n",
- " print(2**i - 1)"
- ]
- }
- ],
- "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": "3.5.1"
- }
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- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/docs/source/examples/Notebook/Typesetting Equations.ipynb b/docs/source/examples/Notebook/Typesetting Equations.ipynb
deleted file mode 100644
index 4d8f5f9fc7..0000000000
--- a/docs/source/examples/Notebook/Typesetting Equations.ipynb
+++ /dev/null
@@ -1,280 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The Markdown parser included in the Jupyter Notebook is MathJax-aware. This means that you can freely mix in mathematical expressions using the [MathJax subset of Tex and LaTeX](http://docs.mathjax.org/en/latest/tex.html#tex-support). [Some examples from the MathJax site](https://www.mathjax.org/demos/tex-samples/) are reproduced below, as well as the Markdown+TeX source."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Motivating Examples\n",
- "\n",
- "## The Lorenz Equations\n",
- "### Source\n",
- "```\n",
- "\\begin{align}\n",
- "\\dot{x} & = \\sigma(y-x) \\\\\n",
- "\\dot{y} & = \\rho x - y - xz \\\\\n",
- "\\dot{z} & = -\\beta z + xy\n",
- "\\end{align}\n",
- "```\n",
- "### Display\n",
- "\n",
- "$\\begin{align}\n",
- "\\dot{x} & = \\sigma(y-x) \\\\\n",
- "\\dot{y} & = \\rho x - y - xz \\\\\n",
- "\\dot{z} & = -\\beta z + xy\n",
- "\\end{align}$"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## The Cauchy-Schwarz Inequality\n",
- "### Source\n",
- "```\n",
- "\\begin{equation*}\n",
- "\\left( \\sum_{k=1}^n a_k b_k \\right)^2 \\leq \\left( \\sum_{k=1}^n a_k^2 \\right) \\left( \\sum_{k=1}^n b_k^2 \\right)\n",
- "\\end{equation*}\n",
- "```\n",
- "### Display\n",
- "\n",
- "$\\begin{equation*}\n",
- "\\left( \\sum_{k=1}^n a_k b_k \\right)^2 \\leq \\left( \\sum_{k=1}^n a_k^2 \\right) \\left( \\sum_{k=1}^n b_k^2 \\right)\n",
- "\\end{equation*}$"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## A Cross Product Formula\n",
- "### Source\n",
- "```\n",
- "\\begin{equation*}\n",
- "\\mathbf{V}_1 \\times \\mathbf{V}_2 = \\begin{vmatrix}\n",
- "\\mathbf{i} & \\mathbf{j} & \\mathbf{k} \\\\\n",
- "\\frac{\\partial X}{\\partial u} & \\frac{\\partial Y}{\\partial u} & 0 \\\\\n",
- "\\frac{\\partial X}{\\partial v} & \\frac{\\partial Y}{\\partial v} & 0\n",
- "\\end{vmatrix} \n",
- "\\end{equation*}\n",
- "```\n",
- "### Display\n",
- "\n",
- "$\\begin{equation*}\n",
- "\\mathbf{V}_1 \\times \\mathbf{V}_2 = \\begin{vmatrix}\n",
- "\\mathbf{i} & \\mathbf{j} & \\mathbf{k} \\\\\n",
- "\\frac{\\partial X}{\\partial u} & \\frac{\\partial Y}{\\partial u} & 0 \\\\\n",
- "\\frac{\\partial X}{\\partial v} & \\frac{\\partial Y}{\\partial v} & 0\n",
- "\\end{vmatrix} \n",
- "\\end{equation*}$"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## The probability of getting \\(k\\) heads when flipping \\(n\\) coins is\n",
- "### Source\n",
- "```\n",
- "\\begin{equation*}\n",
- "P(E) = {n \\choose k} p^k (1-p)^{ n-k} \n",
- "\\end{equation*}\n",
- "```\n",
- "### Display\n",
- "\n",
- "$\\begin{equation*}\n",
- "P(E) = {n \\choose k} p^k (1-p)^{ n-k} \n",
- "\\end{equation*}$"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## An Identity of Ramanujan\n",
- "### Source\n",
- "```\n",
- "\\begin{equation*}\n",
- "\\frac{1}{\\Bigl(\\sqrt{\\phi \\sqrt{5}}-\\phi\\Bigr) e^{\\frac25 \\pi}} =\n",
- "1+\\frac{e^{-2\\pi}} {1+\\frac{e^{-4\\pi}} {1+\\frac{e^{-6\\pi}}\n",
- "{1+\\frac{e^{-8\\pi}} {1+\\ldots} } } } \n",
- "\\end{equation*}\n",
- "```\n",
- "### Display\n",
- "$\\begin{equation*}\n",
- "\\frac{1}{\\Bigl(\\sqrt{\\phi \\sqrt{5}}-\\phi\\Bigr) e^{\\frac25 \\pi}} =\n",
- "1+\\frac{e^{-2\\pi}} {1+\\frac{e^{-4\\pi}} {1+\\frac{e^{-6\\pi}}\n",
- "{1+\\frac{e^{-8\\pi}} {1+\\ldots} } } } \n",
- "\\end{equation*}$"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## A Rogers-Ramanujan Identity\n",
- "### Source\n",
- "```\n",
- "\\begin{equation*}\n",
- "1 + \\frac{q^2}{(1-q)}+\\frac{q^6}{(1-q)(1-q^2)}+\\cdots =\n",
- "\\prod_{j=0}^{\\infty}\\frac{1}{(1-q^{5j+2})(1-q^{5j+3})},\n",
- "\\quad\\quad \\text{for $|q|<1$}. \n",
- "\\end{equation*}\n",
- "```\n",
- "### Display\n",
- "\n",
- "$$\\begin{equation*}\n",
- "1 + \\frac{q^2}{(1-q)}+\\frac{q^6}{(1-q)(1-q^2)}+\\cdots =\n",
- "\\prod_{j=0}^{\\infty}\\frac{1}{(1-q^{5j+2})(1-q^{5j+3})},\n",
- "\\quad\\quad \\text{for $|q|<1$}. \n",
- "\\end{equation*}$$"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Maxwell's Equations\n",
- "### Source\n",
- "```\n",
- "\\begin{align}\n",
- "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\ \\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
- "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
- "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
- "\\end{align}\n",
- "```\n",
- "### Display\n",
- "\n",
- "$\\begin{align}\n",
- "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\ \\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
- "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
- "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
- "\\end{align}$"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Equation Numbering and References\n",
- "\n",
- "Equation numbering and referencing will be available in a future version of the Jupyter notebook."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Inline Typesetting (Mixing Markdown and TeX)\n",
- "\n",
- "While display equations look good for a page of samples, the ability to mix math and *formatted* **text** in a paragraph is also important.\n",
- "\n",
- "### Source\n",
- "```\n",
- "This expression $\\sqrt{3x-1}+(1+x)^2$ is an example of a TeX inline equation in a [Markdown-formatted](https://daringfireball.net/projects/markdown/) sentence. \n",
- "```\n",
- "\n",
- "### Display\n",
- "This expression $\\sqrt{3x-1}+(1+x)^2$ is an example of a TeX inline equation in a [Markdown-formatted](https://daringfireball.net/projects/markdown/) sentence. "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Other Syntax\n",
- "\n",
- "You will notice in other places on the web that `$$` are needed explicitly to begin and end MathJax typesetting. This is **not** required if you will be using TeX environments, but the Jupyter notebook will accept this syntax on legacy notebooks. \n",
- "\n",
- "## Source\n",
- "\n",
- "```\n",
- "$$\n",
- "\\begin{array}{c}\n",
- "y_1 \\\\\\\n",
- "y_2 \\mathtt{t}_i \\\\\\\n",
- "z_{3,4}\n",
- "\\end{array}\n",
- "$$\n",
- "```\n",
- "\n",
- "```\n",
- "$$\n",
- "\\begin{array}{c}\n",
- "y_1 \\cr\n",
- "y_2 \\mathtt{t}_i \\cr\n",
- "y_{3}\n",
- "\\end{array}\n",
- "$$\n",
- "```\n",
- "\n",
- "```\n",
- "$$\\begin{eqnarray} \n",
- "x' &=& &x \\sin\\phi &+& z \\cos\\phi \\\\\n",
- "z' &=& - &x \\cos\\phi &+& z \\sin\\phi \\\\\n",
- "\\end{eqnarray}$$\n",
- "```\n",
- "\n",
- "```\n",
- "$$\n",
- "x=4\n",
- "$$\n",
- "```\n",
- "\n",
- "## Display\n",
- "\n",
- "$$\n",
- "\\begin{array}{c}\n",
- "y_1 \\\\\\\n",
- "y_2 \\mathtt{t}_i \\\\\\\n",
- "z_{3,4}\n",
- "\\end{array}\n",
- "$$\n",
- "\n",
- "$$\n",
- "\\begin{array}{c}\n",
- "y_1 \\cr\n",
- "y_2 \\mathtt{t}_i \\cr\n",
- "y_{3}\n",
- "\\end{array}\n",
- "$$\n",
- "\n",
- "$$\\begin{eqnarray} \n",
- "x' &=& &x \\sin\\phi &+& z \\cos\\phi \\\\\n",
- "z' &=& - &x \\cos\\phi &+& z \\sin\\phi \\\\\n",
- "\\end{eqnarray}$$\n",
- "\n",
- "$$\n",
- "x=4\n",
- "$$"
- ]
- }
- ],
- "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": "3.5.1"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/docs/source/examples/Notebook/What is the Jupyter Notebook.ipynb b/docs/source/examples/Notebook/What is the Jupyter Notebook.ipynb
deleted file mode 100644
index 0b64a1571f..0000000000
--- a/docs/source/examples/Notebook/What is the Jupyter Notebook.ipynb
+++ /dev/null
@@ -1,181 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "slideshow": {
- "slide_type": "slide"
- }
- },
- "source": [
- "# What is the Jupyter Notebook?"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Introduction"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The Jupyter Notebook is an **interactive computing environment** that enables users to author notebook documents that include: \n",
- "- Live code\n",
- "- Interactive widgets\n",
- "- Plots\n",
- "- Narrative text\n",
- "- Equations\n",
- "- Images\n",
- "- Video\n",
- "\n",
- "These documents provide a **complete and self-contained record of a computation** that can be converted to various formats and shared with others using email, [Dropbox](https://www.dropbox.com/), version control systems (like git/[GitHub](https://github.com)) or [nbviewer.jupyter.org](http://nbviewer.jupyter.org)."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "slideshow": {
- "slide_type": "slide"
- }
- },
- "source": [
- "### Components"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The Jupyter Notebook combines three components:\n",
- "\n",
- "* **The notebook web application**: An interactive web application for writing and running code interactively and authoring notebook documents.\n",
- "* **Kernels**: Separate processes started by the notebook web application that runs users' code in a given language and returns output back to the notebook web application. The kernel also handles things like computations for interactive widgets, tab completion and introspection. \n",
- "* **Notebook documents**: Self-contained documents that contain a representation of all content visible in the notebook web application, including inputs and outputs of the computations, narrative\n",
- "text, equations, images, and rich media representations of objects. Each notebook document has its own kernel."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "slideshow": {
- "slide_type": "slide"
- }
- },
- "source": [
- "## Notebook web application"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The notebook web application enables users to:\n",
- "\n",
- "* **Edit code in the browser**, with automatic syntax highlighting, indentation, and tab completion/introspection.\n",
- "* **Run code from the browser**, with the results of computations attached to the code which generated them.\n",
- "* See the results of computations with **rich media representations**, such as HTML, LaTeX, PNG, SVG, PDF, etc.\n",
- "* Create and use **interactive JavaScript widgets**, which bind interactive user interface controls and visualizations to reactive kernel side computations.\n",
- "* Author **narrative text** using the [Markdown](https://daringfireball.net/projects/markdown/) markup language.\n",
- "* Include mathematical equations using **LaTeX syntax in Markdown**, which are rendered in-browser by [MathJax](https://www.mathjax.org/)."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "slideshow": {
- "slide_type": "slide"
- }
- },
- "source": [
- "## Kernels"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Through Jupyter's kernel and messaging architecture, the Notebook allows code to be run in a range of different programming languages. For each notebook document that a user opens, the web application starts a kernel that runs the code for that notebook. Each kernel is capable of running code in a single programming language and there are kernels available in the following languages:\n",
- "\n",
- "* Python(https://github.com/ipython/ipython)\n",
- "* Julia (https://github.com/JuliaLang/IJulia.jl)\n",
- "* R (https://github.com/IRkernel/IRkernel)\n",
- "* Ruby (https://github.com/minrk/iruby)\n",
- "* Haskell (https://github.com/gibiansky/IHaskell)\n",
- "* Scala (https://github.com/Bridgewater/scala-notebook)\n",
- "* node.js (https://gist.github.com/Carreau/4279371)\n",
- "* Go (https://github.com/takluyver/igo)\n",
- "\n",
- "The default kernel runs Python code. The notebook provides a simple way for users to pick which of these kernels is used for a given notebook. \n",
- "\n",
- "Each of these kernels communicate with the notebook web application and web browser using a JSON over ZeroMQ/WebSockets message protocol that is described [here](https://jupyter-client.readthedocs.io/en/latest/messaging.html#messaging). Most users don't need to know about these details, but it helps to understand that \"kernels run code.\""
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "slideshow": {
- "slide_type": "slide"
- }
- },
- "source": [
- "## Notebook documents"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Notebook documents contain the **inputs and outputs** of an interactive session as well as **narrative text** that accompanies the code but is not meant for execution. **Rich output** generated by running code, including HTML, images, video, and plots, is embeddeed in the notebook, which makes it a complete and self-contained record of a computation. "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "When you run the notebook web application on your computer, notebook documents are just **files on your local filesystem with a `.ipynb` extension**. This allows you to use familiar workflows for organizing your notebooks into folders and sharing them with others."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Notebooks consist of a **linear sequence of cells**. There are four basic cell types:\n",
- "\n",
- "* **Code cells:** Input and output of live code that is run in the kernel\n",
- "* **Markdown cells:** Narrative text with embedded LaTeX equations\n",
- "* **Heading cells:** 6 levels of hierarchical organization and formatting\n",
- "* **Raw cells:** Unformatted text that is included, without modification, when notebooks are converted to different formats using nbconvert\n",
- "\n",
- "Internally, notebook documents are **[JSON](https://en.wikipedia.org/wiki/JSON) data** with **binary values [base64](http://en.wikipedia.org/wiki/Base64)** encoded. This allows them to be **read and manipulated programmatically** by any programming language. Because JSON is a text format, notebook documents are version control friendly.\n",
- "\n",
- "**Notebooks can be exported** to different static formats including HTML, reStructeredText, LaTeX, PDF, and slide shows ([reveal.js](http://lab.hakim.se/reveal-js/)) using Jupyter's `nbconvert` utility.\n",
- "\n",
- "Furthermore, any notebook document available from a **public URL on or GitHub can be shared** via [nbviewer](http://nbviewer.jupyter.org). This service loads the notebook document from the URL and renders it as a static web page. The resulting web page may thus be shared with others **without their needing to install the Jupyter Notebook**."
- ]
- }
- ],
- "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": "3.4.0"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/docs/source/examples/Notebook/Working With Markdown Cells.ipynb b/docs/source/examples/Notebook/Working With Markdown Cells.ipynb
deleted file mode 100644
index 6e5c6221ac..0000000000
--- a/docs/source/examples/Notebook/Working With Markdown Cells.ipynb
+++ /dev/null
@@ -1,326 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Markdown Cells"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Text can be added to Jupyter Notebooks using Markdown cells. You can change the cell type to Markdown by using the `Cell` menu, the toolbar, or the key shortcut `m`. Markdown is a popular markup language that is a superset of HTML. Its specification can be found here:\n",
- "\n",
- "![](\"../images/python_logo.svg\"){kind=logo}
\n",
- "\n",
- "\n",
- "\n",
- "and a video with the HTML5 video tag:\n",
- "\n",
- " \n",
- "\n",
- "\n",
- "\n",
- "These do not embed the data into the notebook file, and require that the files exist when you are viewing the notebook."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Security of local files"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Note that this means that the Jupyter notebook server also acts as a generic file server\n",
- "for files inside the same tree as your notebooks. Access is not granted outside the\n",
- "notebook folder so you have strict control over what files are visible, but for this\n",
- "reason it is highly recommended that you do not run the notebook server with a notebook\n",
- "directory at a high level in your filesystem (e.g. your home directory).\n",
- "\n",
- "When you run the notebook in a password-protected manner, local file access is restricted\n",
- "to authenticated users unless read-only views are active."
- ]
- }
- ],
- "metadata": {
- "anaconda-cloud": {},
- "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": "3.6.0"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/docs/source/examples/Notebook/examples_index.rst b/docs/source/examples/Notebook/examples_index.rst
deleted file mode 100644
index aa7da3ffee..0000000000
--- a/docs/source/examples/Notebook/examples_index.rst
+++ /dev/null
@@ -1,22 +0,0 @@
-=================
-Notebook Examples
-=================
-
-The pages in this section are all converted notebook files. You can also
-`view these notebooks on nbviewer`__.
-
-__ http://nbviewer.jupyter.org/github/jupyter/notebook/blob/master/
- docs/source/examples/Notebook/
-
-.. toctree::
- :maxdepth: 2
-
- What is the Jupyter Notebook
- Notebook Basics
- Running Code
- Working With Markdown Cells
- Custom Keyboard Shortcuts
- JavaScript Notebook Extensions
- Importing Notebooks
- Connecting with the Qt Console
- Typesetting Equations
diff --git a/docs/source/examples/Notebook/images/command_mode.png b/docs/source/examples/Notebook/images/command_mode.png
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diff --git a/docs/source/examples/Notebook/nbpackage/__init__.py b/docs/source/examples/Notebook/nbpackage/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/docs/source/examples/Notebook/nbpackage/mynotebook.ipynb b/docs/source/examples/Notebook/nbpackage/mynotebook.ipynb
deleted file mode 100644
index 191e181af9..0000000000
--- a/docs/source/examples/Notebook/nbpackage/mynotebook.ipynb
+++ /dev/null
@@ -1,69 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# My Notebook"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "def foo():\n",
- " return \"foo\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "def has_ip_syntax():\n",
- " listing = !ls\n",
- " return listing"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "def whatsmyname():\n",
- " return __name__"
- ]
- }
- ],
- "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": "3.5.1+"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/docs/source/examples/Notebook/nbpackage/nbs/__init__.py b/docs/source/examples/Notebook/nbpackage/nbs/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/docs/source/examples/Notebook/nbpackage/nbs/other.ipynb b/docs/source/examples/Notebook/nbpackage/nbs/other.ipynb
deleted file mode 100644
index 43825b8960..0000000000
--- a/docs/source/examples/Notebook/nbpackage/nbs/other.ipynb
+++ /dev/null
@@ -1,46 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Other notebook\n",
- "\n",
- "This notebook just defines `bar`"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "def bar(x):\n",
- " return \"bar\" * x"
- ]
- }
- ],
- "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": "3.5.1"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/docs/source/examples/images/FrontendKernel.graffle/data.plist b/docs/source/examples/images/FrontendKernel.graffle/data.plist
deleted file mode 100644
index 6179209c40..0000000000
--- a/docs/source/examples/images/FrontendKernel.graffle/data.plist
+++ /dev/null
@@ -1,461 +0,0 @@
-
-
-