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@caseywatts
caseywatts / 0-self-publishing.md
Last active June 4, 2024 20:23
Self-Publishing via Markdown
@CuteLifeBot
CuteLifeBot / transcripts.md
Created March 12, 2018 03:10
Isaac Arthur transcripts

Transcripts of all Isaac Arthur videos to date (up to 2017-03-11)

+--------------------------------+ | Interstellar Warfare | | 2018-03-08 | | https://youtu.be/O_XCB08OPw8 | +--------------------------------+

@paultopia
paultopia / read_apple_notes.ipynb
Created January 21, 2018 21:20
attempt to read apple notes from python
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@aparrish
aparrish / understanding-word-vectors.ipynb
Last active July 9, 2024 15:59
Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@bearfrieze
bearfrieze / comprehensions.md
Last active December 23, 2023 22:49
Comprehensions in Python the Jedi way

Comprehensions in Python the Jedi way

by Bjørn Friese

Beautiful is better than ugly. Explicit is better than implicit.

-- The Zen of Python

I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.

@dannguyen
dannguyen / README.md
Last active July 6, 2024 16:36
Using Python 3.x and Google Cloud Vision API to OCR scanned documents to extract structured data

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

@stefanthoss
stefanthoss / mysql-pandas-import.py
Last active December 26, 2023 19:48
Import data from a MySQL database table into a Pandas DataFrame using the pymysql package.
import pandas as pd
import pymysql
from sqlalchemy import create_engine
engine = create_engine("mysql+pymysql://USER:PASSWORD@HOST:PORT/DBNAME")
df = pd.read_sql_query("SELECT * FROM table", engine)
df.head()
@0XDE57
0XDE57 / config.md
Last active July 7, 2024 00:25
Firefox about:config privacy settings

ABOUT

about:config settings to harden the Firefox browser. Privacy and performance enhancements.
To change these settings type 'about:config' in the url bar. Then search the setting you would like to change and modify the value. Some settings may break certain websites from functioning and rendering normally. Some settings may also make firefox unstable. I am not liable for any damages/loss of data.

Not all these changes are necessary and will be dependent upon your usage and hardware. Do some research on settings if you don't understand what they do. These settings are best combined with your standard privacy extensions (HTTPS Everywhere No longer required: Enable HTTPS-Only Mode, NoScript/Request Policy, uBlock origin, agent spoofing, Privacy Badger etc), and all plugins set to "Ask To Activate".

@Smerity
Smerity / fetch_page.py
Created August 7, 2015 21:30
An example of fetching a page from Common Crawl using the Common Crawl Index
import gzip
import json
import requests
try:
from cStringIO import StringIO
except:
from StringIO import StringIO
# Let's fetch the Common Crawl FAQ using the CC index
resp = requests.get('http://index.commoncrawl.org/CC-MAIN-2015-27-index?url=http%3A%2F%2Fcommoncrawl.org%2Ffaqs%2F&output=json')
@VincentRbbmnd
VincentRbbmnd / LOC
Last active December 4, 2018 22:20
Count LOC with Sublime Text
// find->find in files with RegEx enabled
^.*\S+.*$
// Where:
c:\your_folder\,*.php,*.phtml,*.js,*.inc,*.html, -*/folder_to_exclude/*