I hereby claim:
- I am ryanleeallred on github.
- I am ryanallred (https://keybase.io/ryanallred) on keybase.
- I have a public key ASDuatA3YkspjIT9EbT-qzX13S4PH_SPlsBJ4KWGtXR7KQo
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
{% extends "base.html" %} | |
{% block content %} | |
<div id="user-info"> | |
<p>{{ title }}</p> | |
<p>{{ message }}</p> | |
</div> | |
<div id="user-tweets"> | |
{% for tweet in tweets %} |
{% extends "base.html" %} | |
{% block content %} | |
<div id="prediction"> | |
<p>{{ title }}</p> | |
<p>{{ message }}</p> | |
</div> | |
{% endblock %} |
<!DOCTYPE html> | |
<html> | |
<head> | |
<title>TwitOff - {{ title }}</title> | |
<link rel="stylesheet" href="https://unpkg.com/picnic" /> | |
</head> | |
<body> | |
<nav> |
<!DOCTYPE html> | |
<html> | |
<head> | |
<title>TwitOff - {{ title }}</title> | |
<link rel="stylesheet" href="https://unpkg.com/picnic" /> | |
</head> | |
<body> | |
<nav> | |
<a href="/" class="brand"><span>TwitOff!</span></a> | |
<!-- responsive--> |
import pandas as pd | |
# Build my class of type DataFrame | |
# df holds a new DataFrame "object" | |
# when I create a new object and save it to a variable | |
# I say that I have "instantiated" that object | |
df = pd.DataFrame({'a': [1,2,3], 'b': [4,5,6]}) | |
if __name__ == "__main__": |
{"businesses": [{"id": "JFU4VdpwzhE3I7o8ck3yzw", "alias": "beto-s-mexican-grill-salt-lake-city", "name": "Beto\u2019s Mexican Grill", "image_url": "https://s3-media2.fl.yelpcdn.com/bphoto/BGLnE0dTMWXRMUFf4SoMdQ/o.jpg", "is_closed": false, "url": "https://www.yelp.com/biz/beto-s-mexican-grill-salt-lake-city?adjust_creative=xokjsYdkvvDB_clvPE2mew&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=xokjsYdkvvDB_clvPE2mew", "review_count": 40, "categories": [{"alias": "mexican", "title": "Mexican"}], "rating": 2.0, "coordinates": {"latitude": 40.760975298871, "longitude": -111.878458552746}, "transactions": ["delivery"], "price": "$", "location": {"address1": "435 E 400th S", "address2": "", "address3": "", "city": "Salt Lake City", "zip_code": "84111", "country": "US", "state": "UT", "display_address": ["435 E 400th S", "Salt Lake City, UT 84111"]}, "phone": "+18013630788", "display_phone": "(801) 363-0788", "distance": 4180.668996298476}, {"id": "MEz9-PGteG0O3o-0XKR3tQ", "alias": "betos-mexica |
Object { | |
"alias": "beto-s-mexican-grill-salt-lake-city", | |
"categories": Array [ | |
Object { | |
"alias": "mexican", | |
"title": "Mexican", | |
}, | |
], | |
"coordinates": Object { | |
"latitude": 40.760975298871, |
(base) ryanallred@Ryans-MacBook-Air Desktop % cd ZoomToWistia | |
(base) ryanallred@Ryans-MacBook-Air ZoomToWistia % fswatch -0 -vx --event Renamed ~/Documents/Zoom | xargs -0 -n 1 bash runner | |
register_signal_handlers: SIGTERM handler registered. | |
register_signal_handlers: SIGABRT handler registered. | |
register_signal_handlers: SIGINT handler registered. | |
start_monitor: Adding path: /Users/ryanallred/Documents/Zoom | |
create_stream: Creating FSEvent stream... | |
run: Scheduling stream with run loop... | |
run: Starting event stream... | |
run: Starting run loop... |
# Find the actual file to download | |
# From navigating the page, clicking "Data Folder" | |
# Right click on the link to the dataset and say "Copy Link Address" | |
flag_data_url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/flags/flag.data' | |
# You can "shell out" in a notebook for more powerful tools | |
# https://jakevdp.github.io/PythonDataScienceHandbook/01.05-ipython-and-shell-commands.html | |
# Funny extension, but on inspection looks like a csv |