BranchesTags

Latest commit

History

7 Commits

Folders and files

NameName
Last commit message
Last commit date
README.md
README.md
bot.py
bot.py
finished_bot.py
finished_bot.py
secret.py
secret.py

Repository files navigation

eecs398-python-twitter

Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor

Requirements

tweepy

$ pip3 install tweepy

  • created specifically to pull data from Twitter

  • no need to index into large dictionaries or format request URLs

matplotlib

pip3 install matplotlib

  • good for plotting data

  • "not the best out there, but easy to use" - Amrit

What's included?

bot.py contains starter code for the Python program

secret.py will hold your API keys and tokens

  • you want to keep your API keys secret, which is why they are placed in a separate file from your program.

  • if you choose to put your project on GitHub, DO NOT commit secret.py

How to Generate Twitter API Keys and Tokens

Go to https://apps.twitter.com

NOTE: You will need a Twitter account from this point on.

  • sign into Twitter, then click "Create New App" in the upper right

  • fill out the name, description, and website for your applicaiton. Check the "Developer Agreement" box and finish creating your app!

  • under the name of your application, find and click the "Keys and Access Tokens" tab

Consumer Keys

  • located under Applicaiton Settings

  • copy and paste these keys into secret.py

Access Tokens

  • scroll down and click "Authorize my Application"

  • located under "Your Access Token"

  • copy and paste these keys into secret.py

TODO: import libraries

  • import tweepy

  • import matplotlib

  • from secret import *

TODO: create a new Twitter session

  • check out the tweepy documentation on getting started

  • use keys/tokens from secret.py to create the session

TODO: user input

  • ask the user (you) what hashtag to search

TODO: search for hashtag

  • create new Tweet objects for each result

  • we only need the time each tweet was posted, but other data may be useful for debugging or other data analysis

TODO: graph timestamps from tweets in a histogram

  • check out the matplotlib documentation on histograms and subplots

  • this is just one analysis you could do on Twitter data

  • try something on your own!

About

Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor

Resources

Readme
Activity

Stars

2 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
README.md
README.md
bot.py
bot.py
finished_bot.py
finished_bot.py
secret.py
secret.py
Repository files navigation
eecs398-python-twitter
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Requirements
tweepy
$ pip3 install tweepy

  • created specifically to pull data from Twitter
  • no need to index into large dictionaries or format request URLs
matplotlib
pip3 install matplotlib

  • good for plotting data
  • "not the best out there, but easy to use" - Amrit
What's included?
bot.py contains starter code for the Python program
secret.py will hold your API keys and tokens
  • you want to keep your API keys secret, which is why they are placed in a separate file from your program.
  • if you choose to put your project on GitHub, DO NOT commit secret.py
How to Generate Twitter API Keys and Tokens
Go to https://apps.twitter.com
NOTE: You will need a Twitter account from this point on.
  • sign into Twitter, then click "Create New App" in the upper right
  • fill out the name, description, and website for your applicaiton. Check the "Developer Agreement" box and finish creating your app!
  • under the name of your application, find and click the "Keys and Access Tokens" tab
Consumer Keys
  • located under Applicaiton Settings
  • copy and paste these keys into secret.py
Access Tokens
  • scroll down and click "Authorize my Application"
  • located under "Your Access Token"
  • copy and paste these keys into secret.py
TODO: import libraries
  • import tweepy
  • import matplotlib
  • from secret import *
TODO: create a new Twitter session
  • check out the tweepy documentation on getting started
  • use keys/tokens from secret.py to create the session
TODO: user input
  • ask the user (you) what hashtag to search
TODO: search for hashtag
  • create new Tweet objects for each result
  • we only need the time each tweet was posted, but other data may be useful for debugging or other data analysis
TODO: graph timestamps from tweets in a histogram
  • check out the matplotlib documentation on histograms and subplots
  • this is just one analysis you could do on Twitter data
  • try something on your own!
About
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
README.md
README.md
bot.py
bot.py
finished_bot.py
finished_bot.py
secret.py
secret.py
Repository files navigation
eecs398-python-twitter
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Requirements
tweepy
$ pip3 install tweepy

  • created specifically to pull data from Twitter
  • no need to index into large dictionaries or format request URLs
matplotlib
pip3 install matplotlib

  • good for plotting data
  • "not the best out there, but easy to use" - Amrit
What's included?
bot.py contains starter code for the Python program
secret.py will hold your API keys and tokens
  • you want to keep your API keys secret, which is why they are placed in a separate file from your program.
  • if you choose to put your project on GitHub, DO NOT commit secret.py
How to Generate Twitter API Keys and Tokens
Go to https://apps.twitter.com
NOTE: You will need a Twitter account from this point on.
  • sign into Twitter, then click "Create New App" in the upper right
  • fill out the name, description, and website for your applicaiton. Check the "Developer Agreement" box and finish creating your app!
  • under the name of your application, find and click the "Keys and Access Tokens" tab
Consumer Keys
  • located under Applicaiton Settings
  • copy and paste these keys into secret.py
Access Tokens
  • scroll down and click "Authorize my Application"
  • located under "Your Access Token"
  • copy and paste these keys into secret.py
TODO: import libraries
  • import tweepy
  • import matplotlib
  • from secret import *
TODO: create a new Twitter session
  • check out the tweepy documentation on getting started
  • use keys/tokens from secret.py to create the session
TODO: user input
  • ask the user (you) what hashtag to search
TODO: search for hashtag
  • create new Tweet objects for each result
  • we only need the time each tweet was posted, but other data may be useful for debugging or other data analysis
TODO: graph timestamps from tweets in a histogram
  • check out the matplotlib documentation on histograms and subplots
  • this is just one analysis you could do on Twitter data
  • try something on your own!
About
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
README.md
README.md
bot.py
bot.py
finished_bot.py
finished_bot.py
secret.py
secret.py
Repository files navigation
eecs398-python-twitter
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Requirements
tweepy
$ pip3 install tweepy

  • created specifically to pull data from Twitter
  • no need to index into large dictionaries or format request URLs
matplotlib
pip3 install matplotlib

  • good for plotting data
  • "not the best out there, but easy to use" - Amrit
What's included?
bot.py contains starter code for the Python program
secret.py will hold your API keys and tokens
  • you want to keep your API keys secret, which is why they are placed in a separate file from your program.
  • if you choose to put your project on GitHub, DO NOT commit secret.py
How to Generate Twitter API Keys and Tokens
Go to https://apps.twitter.com
NOTE: You will need a Twitter account from this point on.
  • sign into Twitter, then click "Create New App" in the upper right
  • fill out the name, description, and website for your applicaiton. Check the "Developer Agreement" box and finish creating your app!
  • under the name of your application, find and click the "Keys and Access Tokens" tab
Consumer Keys
  • located under Applicaiton Settings
  • copy and paste these keys into secret.py
Access Tokens
  • scroll down and click "Authorize my Application"
  • located under "Your Access Token"
  • copy and paste these keys into secret.py
TODO: import libraries
  • import tweepy
  • import matplotlib
  • from secret import *
TODO: create a new Twitter session
  • check out the tweepy documentation on getting started
  • use keys/tokens from secret.py to create the session
TODO: user input
  • ask the user (you) what hashtag to search
TODO: search for hashtag
  • create new Tweet objects for each result
  • we only need the time each tweet was posted, but other data may be useful for debugging or other data analysis
TODO: graph timestamps from tweets in a histogram
  • check out the matplotlib documentation on histograms and subplots
  • this is just one analysis you could do on Twitter data
  • try something on your own!
About
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
README.md
README.md
bot.py
bot.py
finished_bot.py
finished_bot.py
secret.py
secret.py
Repository files navigation
eecs398-python-twitter
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Requirements
tweepy
$ pip3 install tweepy

  • created specifically to pull data from Twitter
  • no need to index into large dictionaries or format request URLs
matplotlib
pip3 install matplotlib

  • good for plotting data
  • "not the best out there, but easy to use" - Amrit
What's included?
bot.py contains starter code for the Python program
secret.py will hold your API keys and tokens
  • you want to keep your API keys secret, which is why they are placed in a separate file from your program.
  • if you choose to put your project on GitHub, DO NOT commit secret.py
How to Generate Twitter API Keys and Tokens
Go to https://apps.twitter.com
NOTE: You will need a Twitter account from this point on.
  • sign into Twitter, then click "Create New App" in the upper right
  • fill out the name, description, and website for your applicaiton. Check the "Developer Agreement" box and finish creating your app!
  • under the name of your application, find and click the "Keys and Access Tokens" tab
Consumer Keys
  • located under Applicaiton Settings
  • copy and paste these keys into secret.py
Access Tokens
  • scroll down and click "Authorize my Application"
  • located under "Your Access Token"
  • copy and paste these keys into secret.py
TODO: import libraries
  • import tweepy
  • import matplotlib
  • from secret import *
TODO: create a new Twitter session
  • check out the tweepy documentation on getting started
  • use keys/tokens from secret.py to create the session
TODO: user input
  • ask the user (you) what hashtag to search
TODO: search for hashtag
  • create new Tweet objects for each result
  • we only need the time each tweet was posted, but other data may be useful for debugging or other data analysis
TODO: graph timestamps from tweets in a histogram
  • check out the matplotlib documentation on histograms and subplots
  • this is just one analysis you could do on Twitter data
  • try something on your own!
About
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
README.md
README.md
bot.py
bot.py
finished_bot.py
finished_bot.py
secret.py
secret.py
Repository files navigation
eecs398-python-twitter
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Requirements
tweepy
$ pip3 install tweepy

  • created specifically to pull data from Twitter
  • no need to index into large dictionaries or format request URLs
matplotlib
pip3 install matplotlib

  • good for plotting data
  • "not the best out there, but easy to use" - Amrit
What's included?
bot.py contains starter code for the Python program
secret.py will hold your API keys and tokens
  • you want to keep your API keys secret, which is why they are placed in a separate file from your program.
  • if you choose to put your project on GitHub, DO NOT commit secret.py
How to Generate Twitter API Keys and Tokens
Go to https://apps.twitter.com
NOTE: You will need a Twitter account from this point on.
  • sign into Twitter, then click "Create New App" in the upper right
  • fill out the name, description, and website for your applicaiton. Check the "Developer Agreement" box and finish creating your app!
  • under the name of your application, find and click the "Keys and Access Tokens" tab
Consumer Keys
  • located under Applicaiton Settings
  • copy and paste these keys into secret.py
Access Tokens
  • scroll down and click "Authorize my Application"
  • located under "Your Access Token"
  • copy and paste these keys into secret.py
TODO: import libraries
  • import tweepy
  • import matplotlib
  • from secret import *
TODO: create a new Twitter session
  • check out the tweepy documentation on getting started
  • use keys/tokens from secret.py to create the session
TODO: user input
  • ask the user (you) what hashtag to search
TODO: search for hashtag
  • create new Tweet objects for each result
  • we only need the time each tweet was posted, but other data may be useful for debugging or other data analysis
TODO: graph timestamps from tweets in a histogram
  • check out the matplotlib documentation on histograms and subplots
  • this is just one analysis you could do on Twitter data
  • try something on your own!
About
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
README.md
README.md
bot.py
bot.py
finished_bot.py
finished_bot.py
secret.py
secret.py
Repository files navigation
eecs398-python-twitter
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Requirements
tweepy
$ pip3 install tweepy

  • created specifically to pull data from Twitter
  • no need to index into large dictionaries or format request URLs
matplotlib
pip3 install matplotlib

  • good for plotting data
  • "not the best out there, but easy to use" - Amrit
What's included?
bot.py contains starter code for the Python program
secret.py will hold your API keys and tokens
  • you want to keep your API keys secret, which is why they are placed in a separate file from your program.
  • if you choose to put your project on GitHub, DO NOT commit secret.py
How to Generate Twitter API Keys and Tokens
Go to https://apps.twitter.com
NOTE: You will need a Twitter account from this point on.
  • sign into Twitter, then click "Create New App" in the upper right
  • fill out the name, description, and website for your applicaiton. Check the "Developer Agreement" box and finish creating your app!
  • under the name of your application, find and click the "Keys and Access Tokens" tab
Consumer Keys
  • located under Applicaiton Settings
  • copy and paste these keys into secret.py
Access Tokens
  • scroll down and click "Authorize my Application"
  • located under "Your Access Token"
  • copy and paste these keys into secret.py
TODO: import libraries
  • import tweepy
  • import matplotlib
  • from secret import *
TODO: create a new Twitter session
  • check out the tweepy documentation on getting started
  • use keys/tokens from secret.py to create the session
TODO: user input
  • ask the user (you) what hashtag to search
TODO: search for hashtag
  • create new Tweet objects for each result
  • we only need the time each tweet was posted, but other data may be useful for debugging or other data analysis
TODO: graph timestamps from tweets in a histogram
  • check out the matplotlib documentation on histograms and subplots
  • this is just one analysis you could do on Twitter data
  • try something on your own!
About
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Latest commit
History
7 Commits
Folders and files
NameName
Last commit message
Last commit date
README.md
README.md
bot.py
bot.py
finished_bot.py
finished_bot.py
secret.py
secret.py
Repository files navigation
eecs398-python-twitter
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Requirements
tweepy
$ pip3 install tweepy

  • created specifically to pull data from Twitter
  • no need to index into large dictionaries or format request URLs
matplotlib
pip3 install matplotlib

  • good for plotting data
  • "not the best out there, but easy to use" - Amrit
What's included?
bot.py contains starter code for the Python program
secret.py will hold your API keys and tokens
  • you want to keep your API keys secret, which is why they are placed in a separate file from your program.
  • if you choose to put your project on GitHub, DO NOT commit secret.py
How to Generate Twitter API Keys and Tokens
Go to https://apps.twitter.com
NOTE: You will need a Twitter account from this point on.
  • sign into Twitter, then click "Create New App" in the upper right
  • fill out the name, description, and website for your applicaiton. Check the "Developer Agreement" box and finish creating your app!
  • under the name of your application, find and click the "Keys and Access Tokens" tab
Consumer Keys
  • located under Applicaiton Settings
  • copy and paste these keys into secret.py
Access Tokens
  • scroll down and click "Authorize my Application"
  • located under "Your Access Token"
  • copy and paste these keys into secret.py
TODO: import libraries
  • import tweepy
  • import matplotlib
  • from secret import *
TODO: create a new Twitter session
  • check out the tweepy documentation on getting started
  • use keys/tokens from secret.py to create the session
TODO: user input
  • ask the user (you) what hashtag to search
TODO: search for hashtag
  • create new Tweet objects for each result
  • we only need the time each tweet was posted, but other data may be useful for debugging or other data analysis
TODO: graph timestamps from tweets in a histogram
  • check out the matplotlib documentation on histograms and subplots
  • this is just one analysis you could do on Twitter data
  • try something on your own!
About
Starter code used for live demo of integrating the Twitter API and Python for EECS 398 Winter 2018 at University of Michigan, Ann Arbor
Resources
Readme
Activity
Stars
2 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages