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918 lines
51 KiB
918 lines
51 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Running Code"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"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."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Code cells allow you to enter and run code"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Run a code cell using `Shift-Enter` or pressing the <button class='btn btn-default btn-xs'><i class=\"icon-step-forward fa fa-play\"></i></button> button in the toolbar above:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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"a = 10"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"10\n"
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]
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}
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],
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"source": [
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"print(a)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"There are two other keyboard shortcuts for running code:\n",
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"\n",
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"* `Alt-Enter` runs the current cell and inserts a new one below.\n",
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"* `Ctrl-Enter` run the current cell and enters command mode."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Managing the Kernel"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"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 class='btn btn-default btn-xs'><i class='icon-stop fa fa-stop'></i></button> button in the toolbar above."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false,
|
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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"import time\n",
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"\n",
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"time.sleep(10)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"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",
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"ctypes to segfault the Python interpreter:"
|
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]
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},
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{
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"cell_type": "code",
|
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"execution_count": 5,
|
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"metadata": {
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"collapsed": false,
|
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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"import sys\n",
|
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"from ctypes import CDLL\n",
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"\n",
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"# This will crash a Linux or Mac system\n",
|
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"# equivalent calls can be made on Windows\n",
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"\n",
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"# Uncomment these lines if you would like to see the segfault\n",
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"\n",
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"# dll = 'dylib' if sys.platform == 'darwin' else 'so.6'\n",
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"# libc = CDLL(\"libc.%s\" % dll)\n",
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"# libc.time(-1) # BOOM!!"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Cell menu"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The \"Cell\" menu has a number of menu items for running code in different ways. These includes:\n",
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"\n",
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"* Run and Select Below\n",
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"* Run and Insert Below\n",
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"* Run All\n",
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"* Run All Above\n",
|
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"* Run All Below"
|
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]
|
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},
|
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{
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"cell_type": "markdown",
|
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"metadata": {},
|
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"source": [
|
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"## Restarting the kernels"
|
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
|
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"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 <button class='btn btn-default btn-xs'><i class='fa fa-repeat icon-repeat'></i></button> in the toolbar above."
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]
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},
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{
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"cell_type": "markdown",
|
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"metadata": {},
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"source": [
|
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"## sys.stdout and sys.stderr"
|
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The stdout and stderr streams are displayed as text in the output area."
|
|
]
|
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},
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{
|
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"cell_type": "code",
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"execution_count": 6,
|
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"metadata": {
|
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"collapsed": false,
|
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"jupyter": {
|
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"outputs_hidden": false
|
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}
|
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},
|
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"hi, stdout\n"
|
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]
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}
|
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],
|
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"source": [
|
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"print(\"hi, stdout\")"
|
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]
|
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},
|
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{
|
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"cell_type": "code",
|
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"execution_count": 7,
|
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"metadata": {
|
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"collapsed": false,
|
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"jupyter": {
|
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"outputs_hidden": false
|
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}
|
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},
|
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"outputs": [
|
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{
|
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"name": "stderr",
|
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"output_type": "stream",
|
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"text": [
|
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"hi, stderr\n"
|
|
]
|
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}
|
|
],
|
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"source": [
|
|
"from __future__ import print_function\n",
|
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"\n",
|
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"print('hi, stderr', file=sys.stderr)"
|
|
]
|
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},
|
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{
|
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"cell_type": "markdown",
|
|
"metadata": {},
|
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"source": [
|
|
"## Output is asynchronous"
|
|
]
|
|
},
|
|
{
|
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"cell_type": "markdown",
|
|
"metadata": {},
|
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"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,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"0\n",
|
|
"1\n",
|
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"2\n",
|
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"3\n",
|
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"4\n",
|
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"5\n",
|
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"6\n",
|
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"7\n"
|
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]
|
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}
|
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],
|
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"source": [
|
|
"import time, sys\n",
|
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"\n",
|
|
"for i in range(8):\n",
|
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" print(i)\n",
|
|
" time.sleep(0.5)"
|
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]
|
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},
|
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{
|
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"cell_type": "markdown",
|
|
"metadata": {},
|
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"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,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"0\n",
|
|
"1\n",
|
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"2\n",
|
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"3\n",
|
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"4\n",
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"5\n",
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"6\n",
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"7\n",
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"8\n",
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"9\n",
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"10\n",
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"11\n",
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"12\n",
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"13\n",
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"14\n",
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"15\n",
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"16\n",
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"17\n",
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"18\n",
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"19\n",
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"20\n",
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"21\n",
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"22\n",
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"23\n",
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"24\n",
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"25\n",
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"26\n",
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"27\n",
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"28\n",
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"29\n",
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"30\n",
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"31\n",
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"32\n",
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"33\n",
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"34\n",
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"35\n",
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"36\n",
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"37\n",
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"38\n",
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"39\n",
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"40\n",
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"41\n",
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"42\n",
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"43\n",
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"44\n",
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"45\n",
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"46\n",
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"47\n",
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"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,
|
|
"jupyter": {
|
|
"outputs_hidden": false
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
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"0\n",
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"1\n",
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"3\n",
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"7\n",
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"15\n",
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"31\n",
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"63\n",
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"127\n",
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"255\n",
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"511\n",
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"1023\n",
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"2047\n",
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"4095\n",
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"8191\n",
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"16383\n",
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"32767\n",
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"65535\n",
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"131071\n",
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"524287\n",
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"1048575\n",
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"2097151\n",
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"17592186044415\n",
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"1125899906842623\n",
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"9007199254740991\n",
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"18014398509481983\n",
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"696898287454081973172991196020261297061887\n",
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"11908525658859223294760121268437066290850060053501019099651935423375594096449911575776314174894302258147533153997065059263030913083222523903\n",
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"23817051317718446589520242536874132581700120107002038199303870846751188192899823151552628349788604516295066307994130118526061826166445047807\n",
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"47634102635436893179040485073748265163400240214004076398607741693502376385799646303105256699577209032590132615988260237052123652332890095615\n",
|
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"95268205270873786358080970147496530326800480428008152797215483387004752771599292606210513399154418065180265231976520474104247304665780191231\n",
|
|
"190536410541747572716161940294993060653600960856016305594430966774009505543198585212421026798308836130360530463953040948208494609331560382463\n",
|
|
"381072821083495145432323880589986121307201921712032611188861933548019011086397170424842053596617672260721060927906081896416989218663120764927\n",
|
|
"762145642166990290864647761179972242614403843424065222377723867096038022172794340849684107193235344521442121855812163792833978437326241529855\n",
|
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"1524291284333980581729295522359944485228807686848130444755447734192076044345588681699368214386470689042884243711624327585667956874652483059711\n",
|
|
"3048582568667961163458591044719888970457615373696260889510895468384152088691177363398736428772941378085768487423248655171335913749304966119423\n",
|
|
"6097165137335922326917182089439777940915230747392521779021790936768304177382354726797472857545882756171536974846497310342671827498609932238847\n",
|
|
"12194330274671844653834364178879555881830461494785043558043581873536608354764709453594945715091765512343073949692994620685343654997219864477695\n",
|
|
"24388660549343689307668728357759111763660922989570087116087163747073216709529418907189891430183531024686147899385989241370687309994439728955391\n",
|
|
"48777321098687378615337456715518223527321845979140174232174327494146433419058837814379782860367062049372295798771978482741374619988879457910783\n",
|
|
"97554642197374757230674913431036447054643691958280348464348654988292866838117675628759565720734124098744591597543956965482749239977758915821567\n",
|
|
"195109284394749514461349826862072894109287383916560696928697309976585733676235351257519131441468248197489183195087913930965498479955517831643135\n",
|
|
"390218568789499028922699653724145788218574767833121393857394619953171467352470702515038262882936496394978366390175827861930996959911035663286271\n",
|
|
"780437137578998057845399307448291576437149535666242787714789239906342934704941405030076525765872992789956732780351655723861993919822071326572543\n",
|
|
"1560874275157996115690798614896583152874299071332485575429578479812685869409882810060153051531745985579913465560703311447723987839644142653145087\n",
|
|
"3121748550315992231381597229793166305748598142664971150859156959625371738819765620120306103063491971159826931121406622895447975679288285306290175\n",
|
|
"6243497100631984462763194459586332611497196285329942301718313919250743477639531240240612206126983942319653862242813245790895951358576570612580351\n",
|
|
"12486994201263968925526388919172665222994392570659884603436627838501486955279062480481224412253967884639307724485626491581791902717153141225160703\n",
|
|
"24973988402527937851052777838345330445988785141319769206873255677002973910558124960962448824507935769278615448971252983163583805434306282450321407\n",
|
|
"49947976805055875702105555676690660891977570282639538413746511354005947821116249921924897649015871538557230897942505966327167610868612564900642815\n",
|
|
"99895953610111751404211111353381321783955140565279076827493022708011895642232499843849795298031743077114461795885011932654335221737225129801285631\n",
|
|
"199791907220223502808422222706762643567910281130558153654986045416023791284464999687699590596063486154228923591770023865308670443474450259602571263\n",
|
|
"399583814440447005616844445413525287135820562261116307309972090832047582568929999375399181192126972308457847183540047730617340886948900519205142527\n",
|
|
"799167628880894011233688890827050574271641124522232614619944181664095165137859998750798362384253944616915694367080095461234681773897801038410285055\n",
|
|
"1598335257761788022467377781654101148543282249044465229239888363328190330275719997501596724768507889233831388734160190922469363547795602076820570111\n",
|
|
"3196670515523576044934755563308202297086564498088930458479776726656380660551439995003193449537015778467662777468320381844938727095591204153641140223\n",
|
|
"6393341031047152089869511126616404594173128996177860916959553453312761321102879990006386899074031556935325554936640763689877454191182408307282280447\n",
|
|
"12786682062094304179739022253232809188346257992355721833919106906625522642205759980012773798148063113870651109873281527379754908382364816614564560895\n",
|
|
"25573364124188608359478044506465618376692515984711443667838213813251045284411519960025547596296126227741302219746563054759509816764729633229129121791\n",
|
|
"51146728248377216718956089012931236753385031969422887335676427626502090568823039920051095192592252455482604439493126109519019633529459266458258243583\n",
|
|
"102293456496754433437912178025862473506770063938845774671352855253004181137646079840102190385184504910965208878986252219038039267058918532916516487167\n",
|
|
"204586912993508866875824356051724947013540127877691549342705710506008362275292159680204380770369009821930417757972504438076078534117837065833032974335\n",
|
|
"409173825987017733751648712103449894027080255755383098685411421012016724550584319360408761540738019643860835515945008876152157068235674131666065948671\n",
|
|
"818347651974035467503297424206899788054160511510766197370822842024033449101168638720817523081476039287721671031890017752304314136471348263332131897343\n",
|
|
"1636695303948070935006594848413799576108321023021532394741645684048066898202337277441635046162952078575443342063780035504608628272942696526664263794687\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"for i in range(500):\n",
|
|
" print(2**i - 1)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"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": "3.10.2"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|