Ali Hürriyetoğlu ahurriyetoglu

## upload-file-or-folder-to-Dropbox.ipynb

      
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                ahurriyetoglu
                / upload-file-or-folder-to-Dropbox.ipynb
            
            
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              April 21, 2023 20:04
            
              
                You can use Dropbox SDK with its Python client to upload files or folders directly to your Dropbox account. This code handles files independent of their size.
              
          
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## turkceOzelsimler
"Ecrin"
"Eymen"
"Ceylin"
"Ebrar"
"Tuana"
"Esila"
"Esra"
"Enes"
"Talha"
"Ömer"

## rank_metrics.py
"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np

## get_guardian_articles.py
# Docs: http://open-platform.theguardian.com/documentation/
import requests as r
import json

g_api_key = "Your API key" # limit is 12 calls per second.

keyterm = "Your Keyterm"

#from-date=1920-
g_articles_strt = r.get("http://content.guardianapis.com/search?q="+keyterm+"/politics&show-blocks=all&from-date=2015-01-01&api-key="+g_api_key)

## get_nyt_comments.py
import requests as r
import json
import datetime

# Docs: http://developer.nytimes.com/docs
# Try at: http://developer.nytimes.com/io-docs

srch_api_key = "Your key <check docs>"
keyphrase = 'anything_you_want'
srch_api_result = r.get("http://api.nytimes.com/svc/search/v2/articlesearch.json?q="+keyphrase+"&api-key="+srch_api_key)

## rest-server.py
#!flask/bin/python
from flask import Flask, jsonify, abort, request, make_response, url_for
from flask.ext.httpauth import HTTPBasicAuth

app = Flask(__name__, static_url_path = "")
auth = HTTPBasicAuth()

@auth.get_password
def get_password(username):
    if username == 'miguel':

## plot_correlogram.py
def plot_correlogram(df,figsize=(20,20)):
    ''' Creat an n x n matrix of scatter plots for every
    combination of numeric columns in a dataframe'''

    cols = list(df.columns[df.dtypes=='float64'])
    n = len(cols)
    fig, ax = plt.subplots(n,n,figsize=figsize)
    for i,y in enumerate(cols):
        for j,x in enumerate(cols):
            if i != n-1:

## peakdetect.py
import numpy as np
from math import pi, log
import pylab
from scipy import fft, ifft
from scipy.optimize import curve_fit

i = 10000
x = np.linspace(0, 3.5 * pi, i)
y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 *
    np.random.randn(i))

## pyTwiNL.py
# code to connect to twiqs.nl API
# Current IP address of twiqs.nl is: http://145.100.57.182
import requests

urlto_twiqsNL = "http://145.100.57.222/cgi-bin/twitter"

s = requests.Session()
r = s.post(urlto_twiqsNL, data={"NAME":user_name, "PASSWD":passwd})
print('Cookie Created')

## medfilt.py
#!/usr/bin/env python

import numpy as np


def medfilt (x, k):
    """Apply a length-k median filter to a 1D array x.
    Boundaries are extended by repeating endpoints.
    """
    assert k % 2 == 1, "Median filter length must be odd."
	"Ecrin"
	"Eymen"
	"Ceylin"
	"Ebrar"
	"Tuana"
	"Esila"
	"Esra"
	"Enes"
	"Talha"
	"Ömer"
	"""Information Retrieval metrics

	Useful Resources:
	http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
	http://www.nii.ac.jp/TechReports/05-014E.pdf
	http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
	http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
	Learning to Rank for Information Retrieval (Tie-Yan Liu)
	"""
	import numpy as np
	# Docs: http://open-platform.theguardian.com/documentation/
	import requests as r
	import json

	g_api_key = "Your API key" # limit is 12 calls per second.

	keyterm = "Your Keyterm"

	#from-date=1920-
	g_articles_strt = r.get("http://content.guardianapis.com/search?q="+keyterm+"/politics&show-blocks=all&from-date=2015-01-01&api-key="+g_api_key)
	import requests as r
	import json
	import datetime

	# Docs: http://developer.nytimes.com/docs
	# Try at: http://developer.nytimes.com/io-docs

	srch_api_key = "Your key <check docs>"
	keyphrase = 'anything_you_want'
	srch_api_result = r.get("http://api.nytimes.com/svc/search/v2/articlesearch.json?q="+keyphrase+"&api-key="+srch_api_key)
	#!flask/bin/python
	from flask import Flask, jsonify, abort, request, make_response, url_for
	from flask.ext.httpauth import HTTPBasicAuth

	app = Flask(__name__, static_url_path = "")
	auth = HTTPBasicAuth()

	@auth.get_password
	def get_password(username):
	if username == 'miguel':
	def plot_correlogram(df,figsize=(20,20)):
	''' Creat an n x n matrix of scatter plots for every
	combination of numeric columns in a dataframe'''

	cols = list(df.columns[df.dtypes=='float64'])
	n = len(cols)
	fig, ax = plt.subplots(n,n,figsize=figsize)
	for i,y in enumerate(cols):
	for j,x in enumerate(cols):
	if i != n-1:
	import numpy as np
	from math import pi, log
	import pylab
	from scipy import fft, ifft
	from scipy.optimize import curve_fit

	i = 10000
	x = np.linspace(0, 3.5 * pi, i)
	y = (0.3np.sin(x) + np.sin(1.3 x) + 0.9 * np.sin(4.2 * x) + 0.06 *
	np.random.randn(i))
	# code to connect to twiqs.nl API
	# Current IP address of twiqs.nl is: http://145.100.57.182
	import requests

	urlto_twiqsNL = "http://145.100.57.222/cgi-bin/twitter"

	s = requests.Session()
	r = s.post(urlto_twiqsNL, data={"NAME":user_name, "PASSWD":passwd})
	print('Cookie Created')
	#!/usr/bin/env python

	import numpy as np


	def medfilt (x, k):
	"""Apply a length-k median filter to a 1D array x.
	Boundaries are extended by repeating endpoints.
	"""
	assert k % 2 == 1, "Median filter length must be odd."