- why-not

## README.md

      
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                why-not
                / README.md
            
            
              Last active
              August 29, 2015 13:57
                — forked from milroc/README.md
            
          
    d3.unconf example gist. Fork it here.

  
## gist:5379296
import sys, os
from cv import *
from cv2 import *
import glob


def detect_face(image):
    """Converts an image to grayscale and prints the ratio of face to image if _one_ face is found"""
    grayscale = CreateImage((image.width, image.height), 8, 1)
    CvtColor(image, grayscale, CV_BGR2GRAY)

## vector_intersection.md

      
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                why-not
                / vector_intersection.md
            
            
              Created
              December 11, 2016 05:04
                — forked from hellpanderrr/vector_intersection.md
            
              
                Python find intersection of two vectors using matplotlib and numpy
              
          
    from numpy import dot,array,empty_like
from matplotlib.path import Path

def make_path(x1,y1,x2,y2):
    return Path([[x1,y1],[x1,y2],[x2,y2],[x2,y1]])

def perp( a ) :
    b = empty_like(a)
 b[0] = -a[1]

  
## aws-get_ip-update_sublime.py
import json
import subprocess

"""EDIT FNAME TO UPDATE WITH YOUR LOCAL FILE PATH"""
FNAME = "/PATH/To/SUBLIME/SFTP/FILE/sftp-config.json"


def update_json_file(given_ip, filename):
    jsonfile = open(filename, "r") # open the json file for reading
    data = json.load(jsonfile) # read the json into the buffer

## pandas_data_reader_example.py
# command to install this library.
# conda install pandas-datareader


# example 1
import pandas_datareader as pdr
tsla = pdr.DataReader('tsla', data_source='google', start='2017-1-1')

# example 2
# calculates the trailing stop order price, can be used for weight loss like time series as well.

## sign_verify.sh
# generate private key
openssl genrsa -out private_key.pem 4096

# extract public key
openssl rsa -in private_key.pem -pubout > public_key.pub

# sign using private key
openssl dgst -sign private_key.pem -keyform PEM -sha256 -out VGG_ILSVRC_16_layers.caffemodel.sign -binary VGG_ILSVRC_16_layers.caffemodel

# extract using public key

## multiplication_tables.py
import pandas as pd
import numpy as np

def style_dataframe(df, maxvals=None):
    result = df.style
    result.set_properties(**{'text-align': 'center'})
    result.set_properties(**{'font-family': 'monospace'})
    result.set_properties(**{'font-weight': 'bold'})

    result.set_table_styles([

## useful_bash_functions.sh
function addpythonpath {
    PYTHONPATH=$PYTHONPATH:`pwd`
    sed -i '' '/^PYTHONPATH/d' ~/.bashrc
    sleep .5
    echo PYTHONPATH=$PYTHONPATH >> ~/.bashrc
}

# install yt-dlp first for this to work.
# streams youtube videos via VLC.
function ytvlc {

## get_stats_youtube.py
import time
import pandas as pd
from googleapiclient.discovery import build

# Enter your API key here
api_key = "API KEY HERE"

# Create a service object for the YouTube API
youtube = build('youtube', 'v3', developerKey=api_key)

## shakespeare.txt
First Citizen:
Before we proceed any further, hear me speak.

All:
Speak, speak.

First Citizen:
You are all resolved rather to die than to famish?

All:
	import sys, os
	from cv import *
	from cv2 import *
	import glob


	def detect_face(image):
	"""Converts an image to grayscale and prints the ratio of face to image if _one_ face is found"""
	grayscale = CreateImage((image.width, image.height), 8, 1)
	CvtColor(image, grayscale, CV_BGR2GRAY)
	import json
	import subprocess

	"""EDIT FNAME TO UPDATE WITH YOUR LOCAL FILE PATH"""
	FNAME = "/PATH/To/SUBLIME/SFTP/FILE/sftp-config.json"


	def update_json_file(given_ip, filename):
	jsonfile = open(filename, "r") # open the json file for reading
	data = json.load(jsonfile) # read the json into the buffer
	# command to install this library.
	# conda install pandas-datareader


	# example 1
	import pandas_datareader as pdr
	tsla = pdr.DataReader('tsla', data_source='google', start='2017-1-1')

	# example 2
	# calculates the trailing stop order price, can be used for weight loss like time series as well.
	# generate private key
	openssl genrsa -out private_key.pem 4096

	# extract public key
	openssl rsa -in private_key.pem -pubout > public_key.pub

	# sign using private key
	openssl dgst -sign private_key.pem -keyform PEM -sha256 -out VGG_ILSVRC_16_layers.caffemodel.sign -binary VGG_ILSVRC_16_layers.caffemodel

	# extract using public key
	import pandas as pd
	import numpy as np

	def style_dataframe(df, maxvals=None):
	result = df.style
	result.set_properties(**{'text-align': 'center'})
	result.set_properties(**{'font-family': 'monospace'})
	result.set_properties(**{'font-weight': 'bold'})

	result.set_table_styles([
	function addpythonpath {
	PYTHONPATH=$PYTHONPATH:`pwd`
	sed -i '' '/^PYTHONPATH/d' ~/.bashrc
	sleep .5
	echo PYTHONPATH=$PYTHONPATH >> ~/.bashrc
	}

	# install yt-dlp first for this to work.
	# streams youtube videos via VLC.
	function ytvlc {
	import time
	import pandas as pd
	from googleapiclient.discovery import build

	# Enter your API key here
	api_key = "API KEY HERE"

	# Create a service object for the YouTube API
	youtube = build('youtube', 'v3', developerKey=api_key)
	First Citizen:
	Before we proceed any further, hear me speak.

	All:
	Speak, speak.

	First Citizen:
	You are all resolved rather to die than to famish?

	All: