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WillKoehrsenWillKoehrsen
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Working on article for Simpson's Paradox
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‎slack_interaction/.ipynb_checkpoints/Slack Integration-checkpoint.ipynb‎

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{
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"cells": [],
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"metadata": {},
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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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"# Introduction: Interacting with Slack from Python\n",
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"\n",
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"In this notebook, we will use `Slacker` to interact with Slack. This allows us to send messages and upload files, which can be useful when training models, or monitoring scripts (or just for fun of course)!"
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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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"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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"distributed 1.20.2 has requirement tornado>=4.5.1, but you'll have tornado 4.3 which is incompatible.\n",
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"You are using pip version 10.0.1, however version 18.0 is available.\n",
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"You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n"
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]
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}
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],
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"source": [
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"!pip install -q -U Slacker"
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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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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"\n",
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"# Slacker \n",
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"from slacker import Slacker\n",
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"\n",
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"from sklearn.model_selection import train_test_split, StratifiedKFold\n",
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"import lightgbm as lgb\n",
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"\n",
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"# Plotting\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"%matplotlib inline\n",
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"plt.style.use('fivethirtyeight')"
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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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"# Get a Slack Legacy API Token\n",
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"\n",
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"https://api.slack.com/custom-integrations/legacy-tokens\n",
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"\n",
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"Store in a safe location (not on GitHub)!"
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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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"Read in slack api token. Replace the line below with the location of your slack api token."
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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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"outputs": [],
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"source": [
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"with open('C:/Users/willk/OneDrive/Desktop/slack_api_python.txt', 'r') as f:\n",
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" slack_api_token = f.read()"
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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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"Authenticate with slack and print out channels to make sure everything worked."
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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": 27,
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"metadata": {},
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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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"Channel general Purpose: This channel is for workspace-wide communication and announcements. All members are in this channel. ID: CCCT28F08\n",
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"\n",
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"Channel python_content Purpose: ID: CCEG5VCEM\n",
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"\n",
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"Channel random Purpose: A place for non-work-related flimflam, faffing, hodge-podge or jibber-jabber you'd prefer to keep out of more focused work-related channels. ID: CCDP3ES85\n",
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"\n",
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"Channel slack_interaction Purpose: To interact with Slack from Python ID: CCDC464LU\n",
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"\n",
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"Channel testing_exp Purpose: Experimental testing of interactions. ID: CCD27690R\n",
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"\n"
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]
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}
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],
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"source": [
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"slack = Slacker(slack_api_token)\n",
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"channels = slack.channels.list()\n",
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"\n",
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"for channel in channels.body['channels']:\n",
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" print(f'Channel {channel[\"name\"]} Purpose: {channel[\"purpose\"][\"value\"]} ID: {channel[\"id\"]}\\n')"
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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": 28,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'CCEG5VCEM'"
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]
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},
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"metadata": {},
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"outputs": [],
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"source": [
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"slack.channels.create('python_content2')\n",
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"new_id = slack.channels.get_channel_id('python_content2')\n",
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"r = slack.channels.history(new_id)"
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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": 31,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'has_more': False,\n",
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" 'messages': [{'subtype': 'channel_join',\n",
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" 'text': '<@UCEKVNHPH> has joined the channel',\n",
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" 'ts': '1535161714.000200',\n",
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" 'type': 'message',\n",
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" 'user': 'UCEKVNHPH'}],\n",
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" 'ok': True}"
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]
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},
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"execution_count": 31,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"r.body"
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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": 9,
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"metadata": {},
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"outputs": [
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{
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"ename": "Error",
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"evalue": "channel_not_found",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-9-056f05d6c662>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mslack\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchannels\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_purpose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'#testing_exp'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'Deep philosophical discussions around the water cooler.'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mslack\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchannels\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcreate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'python_content'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mslack\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchannels\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_purpose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'python_content'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'Sharing great python related resources'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mchannels\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mslack\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchannels\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\slacker\\__init__.py\u001b[0m in \u001b[0;36mset_purpose\u001b[1;34m(self, channel, purpose)\u001b[0m\n\u001b[0;32m 334\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mset_purpose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mchannel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpurpose\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 335\u001b[0m return self.post('channels.setPurpose',\n\u001b[1;32m--> 336\u001b[1;33m data={'channel': channel, 'purpose': purpose})\n\u001b[0m\u001b[0;32m 337\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 338\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mset_topic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mchannel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtopic\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\slacker\\__init__.py\u001b[0m in \u001b[0;36mpost\u001b[1;34m(self, api, **kwargs)\u001b[0m\n\u001b[0;32m 121\u001b[0m return self._request(\n\u001b[0;32m 122\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_session_post\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msession\u001b[0m \u001b[1;32melse\u001b[0m \u001b[0mrequests\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpost\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 123\u001b[1;33m \u001b[0mapi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 124\u001b[0m )\n\u001b[0;32m 125\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\slacker\\__init__.py\u001b[0m in \u001b[0;36m_request\u001b[1;34m(self, method, api, **kwargs)\u001b[0m\n\u001b[0;32m 97\u001b[0m \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mResponse\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 98\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msuccessful\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 99\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0merror\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 100\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 101\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mError\u001b[0m: channel_not_found"
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]
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}
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],
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"source": [
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"slack.channels.set_purpose('#testing_exp', 'Deep philosophical discussions around the water cooler.')\n",
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"slack.channels.create('python_content')\n",
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"slack.channels.set_purpose('python_content', 'Sharing great python related resources')\n",
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"\n",
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"channels = slack.channels.list()\n",
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"\n",
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"for channel in channels.body['channels']:\n",
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" print(f'Channel {channel[\"name\"]} Purpose: {channel[\"purpose\"][\"value\"]}\\n')"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from PIL import Image\n",
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"import requests\n",
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"url = user['profile']['image_192']\n",
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"im = Image.open(requests.get(url, stream=True).raw)\n",
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"plt.imshow(im)"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"PIL.Image.from"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from IPython.display import Image\n",
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"from PIL import Image\n",
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"import PIL\n",
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"users = slack.users.list()\n",
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"\n",
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"for user in users.body['members']:\n",
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" # Print some information\n",
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" print(f'\\nUser: {user[\"name\"]}, Real Name: {user[\"real_name\"]}, Time Zone: {user[\"tz_label\"]}.')\n",
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" print(f'Current Status: {user[\"profile\"][\"status_text\"]}')\n",
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" # Get image data and show\n",
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" plt.figure(facecolor = 'w')\n",
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" plt.imshow(Image.open(requests.get(user['profile']['image_192'], stream=True).raw))\n",
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" plt.axis('off');\n",
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" plt.grid('off');\n",
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" plt.show();"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.plot(np.random.randn(100), np.random.randn(100), 'ro')\n",
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"plt.savefig('first_plot.png')"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"slack.files.upload('first_plot.png', channels = ['testing_exp', 'slack_interaction']);"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"Image(user['profile']['image_192'])"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"Image('https://secure.gravatar.com/avatar/f85b7564fd35d5c86054b95090052d94.jpg?s=192&d=https%3A%2F%2Fa.slack-edge.com%2F7fa9%2Fimg%2Favatars%2Fava_0025-192.png')"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"users.body['members']"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"x = slack.channels.list()"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"x.body"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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