#2017the

[crazyvideos]

Me And Steven Attack The Shack

[img0023]

The delivery driver’s text is getting shorter and shorter. image text translation SKTa 8 shows 91a... https://en.imgtag.co.kr/issue/721020/?feed_id=1935631&_unique_id=67597e84212a3

[antoniodatsch]

luni, 3 aprilie 2017

The Doors - Strange Days (Full album 1967)

“Strange Days” is the second studio album by American rock band the Doors, released on September 25, 1967 by Elektra Records. The album was a commercial success, reaching number 3 on the US Billboard 200, and eventually earning RIAA platinum certification. The album contains the Top 30 hit singles "People Are Strange" and "Love Me Two Times".

“Strange Days” este al doilea album de studio al trupei americane de rock Doors, lansat la 25 septembrie 1967 de catre Elektra Records. Albumul a fost un success comercial, atingand locul 3 in US Bilboard 200 si apoi, castigand certificarea de platina de la RIIA. Albumul contine single-urile de Top 30 hits “People Are Strange” si “Love Me Two Times”

List of tracks

Side 1

1.      "Strange Days"                                     3:11

2.       "You're Lost Little Girl"                       3:03

3.       "Love Me Two Times"                          3:18

4.       "Unhappy Girl"                                     2:02

5.       "Horse Latitudes"                                1:37

6.       "Moonlight Drive"                                3:05

Side 2

1.       "People Are Strange"                           2:13

2.       "My Eyes Have Seen You"                   2:32

3.       "I Can't See Your Face in My Mind"    3:26

4.       "When the Music's Over"                   10:58

Personnel

The Doors

Jim Morrison – vocals, percussion, Moog synthesizer on track 1

Ray Manzarek – Vox Continental organ, Fender Rhodes, piano bass on tracks 4 and 10, tack piano on tracks 4-8, harpsichord on track 3 and 6, backwards piano on track 4, marimba on track 9, backing vocals on track 7

Robby Krieger – guitars

John Densmore – drums

Additional musicians

Douglas Lubahn – bass guitar

Technical

Paul A. Rothchild – production, backing vocals on track 7

Bruce Botnick – engineering, backing vocals on track 7

Joel Brodsky – cover photography

William S. Harvey – cover concept and art direction

Jac Holzman – production supervisor

[healthandwealthonline]

DailyMotion suffers the wrath of Russia with permanent ban nationwide - TNW

Got a quick 10? We’ve hidden a few discount codes around the website up to 50% off for your ticket to the heart of tech 🎟️ Good luck on your scavenger hunt! This offer ends on April 5This article was published on January 27, 2017The Moscow City Court has ordered that DailyMotion be permanently blocked in Russia after the popular video-hosting platform reportedly failed to adequately…

[oldassweeb]

The Neighborhood Watch Comity has some Safety Tips for you this Halloween.

[news247planet]

#Featured #NBA's #Sources #NBA Sources: NBA's governors approve Hornets sale https://news247planet.com/?p=490564

[rahulp3]

Meningococcal Vaccines Market Size 2022 Investment, Industry Growth, Share and Analysis by Segment, Business Opportunity, Key Regional Outlook 2032

Over the forecast period, the market for meningococcal vaccines is anticipated to grow at a CAGR of 8.6%, reaching US$ 3.4 Bn in 2022. According to Future Market Insights (FMI), the conjugate vaccines segment held a 62.6% revenue share of the market in 2021.The global meningococcal vaccines market is expected to grow at an 8.6% CAGR during the forecast period, reaching US$ 3.4 billion in 2022. According to Future Market Insights (FMI), the conjugate vaccines segment will have a 62.6% revenue share in 2021.Partnerships between the private sector and public institutions have been the chief agenda of global public health initiatives.The last few years have witnessed an increase in several private-public partnerships specifically focussing on vaccine provision in developing countries. Partnerships like the International Coordinating Group on Vaccine Provision for Epidemic Meningitis Control (ICG) help magnify the vaccine outreach to remote areas of the world with the maximum need.The governments of several countries across the globe initiate immunisation programmes periodically and these programmes are backed by global organisations such as UNICEF and WHO and private not for profits like the Global Alliance for Vaccines and Immunization (GAVI).

Take a Peek into the World of PDFs with our Sample Downloads. @ https://www.futuremarketinsights.com/reports/sample/REP-GB-1252

A classic example of how private-public partnerships are helping boost vaccination programmes across deep regional pockets is Brazil.In 2010, Ezequiel Dias Foundation, Brazil formed a strategic alliance with Novartis Vaccines & Diagnostics for the sustainable supply of Menjugate MenC vaccines for Brazil’s National Immunization Program. By 2015, Brazil became self-sufficient in the production of the meningococcal C conjugated vaccine for the country’s public vaccination programmes. Such initiatives at the global level are anticipated to support global immunisation goals and at the same time boost growth of the meningococcal vaccines market.Key Companies Profiled:Sanofi Pasteur Inc.GlaxoSmithKline PlcWyeth PharmaceuticalsBio-ManguinhosBio-Med Pvt. LimitedChongqing Zhifei Biological Products Co., Ltd.Hualan Biological Engineering Inc.Incepta Pharmaceuticals Ltd.Pfizer INCSerum Institute of India Pvt. LtdWalvax Biotechnology Co., Ltd.Factors Leading to Worldwide Adoption of Meningococcal Vaccination ProgrammesThe global meningococcal vaccines market is expected to be driven by enhanced access to vaccines in low and middle-income countries, growing investments by manufacturers and governments to cope with pandemic meningitis outbreaks, and rapidly growing consumption of meningococcal vaccines bolstered by immunisation alliances and mass vaccination campaigns among others.Partnerships and alliances between manufacturers and governmental healthcare organisations are facilitating the speedy introduction of vaccines in some of the economically challenged countries of the Middle East and Africa region. Enhanced access to vaccines in under-penetrated global markets is expected to accelerate revenue growth of the global meningococcal vaccines market.Approval of new vaccines in the U.S and Europe in 2015 and 2017 to treat meningococcal meningitis has revolutionised the global immunisation landscape. This is further boosting the growth trajectory of the global market for meningococcal vaccines.

For more information check the link below@ https://www.futuremarketinsights.com/reports/meningococcal-vaccines-market 

GlaxoSmithKline to Lead the Global Meningococcal Vaccines Market with About 50% Market Share Recorded in 2017The global meningococcal vaccines market is highly consolidated, with GlaxoSmithKline and Sanofi together holding about 80% of the global market share in 2017. Pfizer is the third largest company in this market with just under 12% market share in 2017.Companies are expanding their production capacities through the acquisition of established vaccines production units of other global or local companies.Sanofi has a huge pipeline of 17 active meningococcal vaccines programmes and is targeting emerging markets; while GlaxoSmithKline has 5 active pipeline programmes for meningococcal vaccines, all of which are in the phase II clinical stage. Addition of the vaccine Bexsero has enabled GlaxoSmithKline to defend its brand against Sanofi’s aggressive portfolio in the paediatric vaccines space.Why Future Market Insights?Comprehensive analysis on evolving purchase pattern across different geographiesDetailed insights of market segments and sub-segments for historical as well as forecast periodA competitive analysis of prominent players and emerging players in the keyword marketDetailed information about the product innovation, mergers and acquisitions lined up in upcoming yearsGround breaking research and market player-centric solutions for the upcoming decade according to the present market scenarioKey Market Segments Covered in Meningococcal Vaccines Industry ResearchBy Product:PolysaccharideConjugateBy Age Group:InfantsChildrenAdolescents & young AdultsAdultsBy Distribution Channel:PharmaciesCommunity ClinicsPublic Health AgenciesOthers (hospital pharmacy, private market etc.)

[huahongtoys]

Every year several Muslim pilgrims from the UK avail services of Umrah Packages

Every year several Muslim pilgrims from the UK avail services of Umrah Packages 2017 to perform Umrah in Saudi Arabia. Umrah Packages 2017 offers several packages to its clients, so that they have abundant options to choose from and their holy journey does not get hindered due to any inconvenience.

If there is any confusion regarding any Umrah Package, our expert Umrah travel agents will leave no stone unturned and will be more than happy to tailor-make your holy trip to Makkah and Medina and make it memorable.Bearing all the needs and convenience of the Muslim pilgrims,China Wholesale Inflatables halloween Decorations Manufacturers Umrah Package 2017 also offers Easter Umrah Packages 2017 for those British Muslims who wish to perform the minor pilgrimage during Easter holidays. We specialize in offering packages that will not cost you an arm or leg to book it. Above all, Easter umrah Packages 2017 allows pilgrims to enjoy top-class services like never before.So, if it's your call to perform Umrah during the Easter season, then book fantastic Umrah Packages 2017 at the best price.Easter Umrah Packages London UKWe, Umrah Packages 2017 UK are reputed to be agreeable and dependable Umrah package 2017 agents and travel service providers for the Muslims. We have excelled to fulfil a holy commitment and assembled amazing Easter Umrah Packages for 2017.

Various British Muslims are getting ready to perform Umrah Easter Packages and they can avail our Umrah Packages at the most economical price.The Easter Umrah Packages are packed with all the amenities for the holy pilgrims to perform Umrah during the Easter. Our Umrah travel agents are the most sorted out team and they are extremely contrasted with each other. Just browse our deals and talk to our expert Easter Umrah travel agents. We have an extra linking with pilgrims for Ramadan umrah packgaes 2017. You may like to book Easter Packages 2017 right now.Hence, it's time to avail the best opportunity to perform Umrah during Umrah Easter 2017 from Umrah Packages 2017 site. We have the Easter Umrah Packages and the best stay arrangements for you at the best price possible. With budget Easter Umrah packages you can carry out your holy duties easily, with freedom and peace.

Our Umrah packages 2017 incorporates accommodation in the holy city of Makkah and Medina, reliable transport in Saudi Arabia, Umrah Visa and guide tours.Easter Umrah Deals to Perform Umrah 2017The Umrah, which is prescribed by the Holy Quran, is highly followed, practiced and respected in Islam. Though there are similarities in Hajj and Umrah to a great extent, Hajj is performed once in a lifetime and Umrah can be done anytime of the year.Blessings of Easter Umrah Packages for YouThere are incalculable gifts of Easter with Easter packages and this is the first desire of every Muslim.

Every year several Muslim pilgrims from the UK avail services of Umrah Packages

[kehlaniteam]

Nav x Always Never x The Weeknd Type Beat ~ "Intoxicated" [R&B Trapsoul Type Beat]

[ledlights]

How Triproof light works in parking lot?

[pamwmsn]

www.artfixdaily.com

The Parrot of Carolina and the Cypress of America, ca. 1722–1726, by Mark Catesby (British, 1682–1749); Royal Collection Trust/© Her Majesty Queen Elizabeth II 2017

The Carolinas, and particularly the city of Charleston, is a significant location in the fascinating story of Catesby’s life and work.

Catesby arrived in Charleston in 1722 and for four years traveled throughout South Carolina and beyond documenting birds, reptiles, amphibians, fish, insects and mammals indigenous to the American colonies. Catesby’s journey resulted in a series of beautiful watercolors that reflect the natural habitats of the Carolinas, Florida and the Bahamas, which ultimately brought to life the first major illustrated work on the botanical and animal life of North America, The Natural History of Carolina, Florida and the Bahama Islands. Catesby’s original watercolors were bought by King George III in 1768.

[askaceattorney]

Parting Gift #1

First up, here's a compilation of all the Holiday-themed banners I’ve created for this blog, in reverse chronological order:

Halloween 2018 (Glitchy)

April Fool’s Day 2018

Christmas 2017

Halloween 2017 (Blackout)

Halloween 2017

Easter 2017

The magic of image editing has always been a fun hobby of mine, and creating these was no exception.  They were all created with GIMP 2, which allows for transparent images (such as the characters’ faces on the Easter eggs), picture layers (such as the spider web, bats, and pumpkin on the Halloween banner), color gradients (such as the letters in that banner), and certain special effects (such as the snowflakes in the Christmas banner).  The ability to use layers also made it possible to fit the faces onto the Easter eggs by erasing every part that wasn’t inside the egg.  (Sorry if this is sounding too technical, by the way.  I’m just being an art software nerd at the moment.)

Credit goes to the Mod for introducing me to this incredibly helpful piece of editing software.  It took me awhile to learn the ropes, but it’s paid off in a lot of ways, both for this blog, and elsewhere.

Speaking of the Mod, he also gets credit for creating the original banner...

...as well as the one before that.

It was originally an animated GIF (something also made possible by GIMP 2) in which Maya poofed into Mia, scaring Phoenix out of his chair.  If anyone knows where that GIF or the video it came from can be found, please fill us in!

Edit: Someone found it!  Enjoy.

[experimentalknitting]

Mending Days, Celia Pym, V&A, London, 2017

The ‘Mending Day’ series forms part of the Woman’s Hour Craft Prize 2018 exhibition at the V&A.  Celia Pym, is a professional repair artist, who sympathetically darns other people’s clothing, to explore our attitudes to care and repair. 

[iwebscrapingblogs]

How To Scrape Expedia Using Python And LXML?

When done manually, gathering travel data for planes is a massive undertaking. There are various possible combinations of airports, routes, times, and costs, all of which are always changing. Ticket rates fluctuate on a daily (or even hourly) basis, and there are numerous flights available each day. Web scraping is one method for keeping track of this information. In this Blog, we'll scrape Expedia , a popular vacation booking site, to get flight information. The flight schedules and pricing for a sender and the receiver pair will be extracted by our scraper.

Data Fields that will be extracted:

Arrival Airport

Arrival Time

Departure Airport

Departure Time

Flight Name

Flight Duration

Ticket Price

No. Of Stops

Airline

Below shown is the screenshot of the data fields that we will be extracting:

Scraping Code:

1. Create the URL of the search results from Expedia for instance, we will check the available flights listed from New York to Miami:

https://www.expedia.com/Flights-Search?trip=oneway&leg1=from:New%20York,%20NY%20(NYC-All%20Airports),to:Miami,%20Florida,departure:04/01/2017TANYT&passengers=children:0,adults:1,seniors:0,infantinlap:Y&mode=search

2. Using Python Requests, download the HTML of the search result page.

3. Parse the webpage with LXML — LXML uses Xpaths to browse the HTML Tree Structure. The XPaths for the details we require in the code have already been defined.

4. Save the information in a JSON file. You can change this later to write to a database.

Requirements

We'll need several libraries for obtaining and parsing HTML for this Python 3 web scraping tutorial. The requirements for the package are shown below.

Install Python 3 and Pip

Install Packages

The code is explanatory

You can check the code from the link here.

Executing the Expedia Scraper

Let's say the script's name is expedia.py. In a command prompt or terminal, input the script name followed by a -h.

usage: expedia.py [-h] source destination date positional arguments: source            Source airport code destination       Destination airport code date              MM/DD/YYYY optional arguments: -h, --help show this help message and exit

The input and output arguments are the airline codes for the source and destination airports, respectively. The date parameter must be in the form MM/DD/YYYY

For example, to get flights from New York to Miami, we would use the following arguments:

python3 expedia.py nyc mia 04/01/2017

The nyc-mia-flight-results.json file will be created as a result of this. json, which will be saved in the same directory as the script.

This is what the output file will look like:

{ "arrival": "Miami Intl., Miami", "timings": [ { "arrival_airport": "Miami, FL (MIA-Miami Intl.)", "arrival_time": "12:19a", "departure_airport": "New York, NY (LGA-LaGuardia)", "departure_time": "9:00p" } ], "airline": "American Airlines", "flight duration": "1 days 3 hours 19 minutes", "plane code": "738", "plane": "Boeing 737-800", "departure": "LaGuardia, New York", "stops": "Nonstop", "ticket price": "1144.21" }, { "arrival": "Miami Intl., Miami", "timings": [ { "arrival_airport": "St. Louis, MO (STL-Lambert-St. Louis Intl.)", "arrival_time": "11:15a", "departure_airport": "New York, NY (LGA-LaGuardia)", "departure_time": "9:11a" }, { "arrival_airport": "Miami, FL (MIA-Miami Intl.)", "arrival_time": "8:44p", "departure_airport": "St. Louis, MO (STL-Lambert-St. Louis Intl.)", "departure_time": "4:54p" } ], "airline": "Republic Airlines As American Eagle", "flight duration": "0 days 11 hours 33 minutes", "plane code": "E75", "plane": "Embraer 175", "departure": "LaGuardia, New York", "stops": "1 Stop", "ticket price": "2028.40" },

You can download the code at:

import json import requests from lxml import html from collections import OrderedDict import argparse def parse(source,destination,date): for i in range(5): try: url = "https://www.expedia.com/Flights-Search?trip=oneway&leg1=from:{0},to:{1},departure:{2}TANYT&passengers=adults:1,children:0,seniors:0,infantinlap:Y&options=cabinclass%3Aeconomy&mode=search&origref=www.expedia.com".format(source,destination,date) headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36'} response = requests.get(url, headers=headers, verify=False) parser = html.fromstring(response.text) json_data_xpath = parser.xpath("//script[@id='cachedResultsJson']//text()") raw_json =json.loads(json_data_xpath[0] if json_data_xpath else '') flight_data = json.loads(raw_json["content"]) flight_info  = OrderedDict() lists=[] for i in flight_data['legs'].keys(): total_distance =  flight_data['legs'][i].get("formattedDistance",'') exact_price = flight_data['legs'][i].get('price',{}).get('totalPriceAsDecimal','') departure_location_airport = flight_data['legs'][i].get('departureLocation',{}).get('airportLongName','') departure_location_city = flight_data['legs'][i].get('departureLocation',{}).get('airportCity','') departure_location_airport_code = flight_data['legs'][i].get('departureLocation',{}).get('airportCode','') arrival_location_airport = flight_data['legs'][i].get('arrivalLocation',{}).get('airportLongName','') arrival_location_airport_code = flight_data['legs'][i].get('arrivalLocation',{}).get('airportCode','') arrival_location_city = flight_data['legs'][i].get('arrivalLocation',{}).get('airportCity','') airline_name = flight_data['legs'][i].get('carrierSummary',{}).get('airlineName','') no_of_stops = flight_data['legs'][i].get("stops","") flight_duration = flight_data['legs'][i].get('duration',{}) flight_hour = flight_duration.get('hours','') flight_minutes = flight_duration.get('minutes','') flight_days = flight_duration.get('numOfDays','') if no_of_stops==0:    stop = "Nonstop" else:    stop = str(no_of_stops)+' Stop' total_flight_duration = "{0} days {1} hours {2} minutes".format(flight_days,flight_hour,flight_minutes) departure = departure_location_airport+", "+departure_location_city arrival = arrival_location_airport+", "+arrival_location_city carrier = flight_data['legs'][i].get('timeline',[])[0].get('carrier',{}) plane = carrier.get('plane','') plane_code = carrier.get('planeCode','') formatted_price = "{0:.2f}".format(exact_price) if not airline_name:    airline_name = carrier.get('operatedBy','') timings = [] for timeline in  flight_data['legs'][i].get('timeline',{}):    if 'departureAirport' in timeline.keys():        departure_airport = timeline['departureAirport'].get('longName','')        departure_time = timeline['departureTime'].get('time','')        arrival_airport = timeline.get('arrivalAirport',{}).get('longName','')        arrival_time = timeline.get('arrivalTime',{}).get('time','')        flight_timing = {                            'departure_airport':departure_airport,                            'departure_time':departure_time,                            'arrival_airport':arrival_airport,                            'arrival_time':arrival_time        }        timings.append(flight_timing) flight_info={'stops':stop,    'ticket price':formatted_price,    'departure':departure,    'arrival':arrival,    'flight duration':total_flight_duration,    'airline':airline_name,    'plane':plane,    'timings':timings,    'plane code':plane_code } lists.append(flight_info)    sortedlist = sorted(lists, key=lambda k: k['ticket price'],reverse=False)    return sortedlist except ValueError:    print ("Rerying...")     return {"error":"failed to process the page",} if __name__=="__main__": argparser = argparse.ArgumentParser() argparser.add_argument('source',help = 'Source airport code') argparser.add_argument('destination',help = 'Destination airport code') argparser.add_argument('date',help = 'MM/DD/YYYY') args = argparser.parse_args() source = args.source destination = args.destination date = args.date print ("Fetching flight details") scraped_data = parse(source,destination,date) print ("Writing data to output file") with open('%s-%s-flight-results.json'%(source,destination),'w') as fp: json.dump(scraped_data,fp,indent = 4)

Unless the page structure changes dramatically, this scraper should be able to retrieve most of the flight details present on Expedia. This scraper is probably not going to work for you if you want to scrape the details of thousands of pages at very short intervals.

Contact iWeb Scraping for extracting Expedia using Python and LXML or ask for a free quote!

https://www.iwebscraping.com/how-to-scrape-expedia-using-python-and-lxml.php

[cyberth0t]

SUNDAY, SEPT 10TH, 2017

THE DAILY SNITCH—Lord River Carlisle (24) was spotted Saturday night with a golden-haired mystery gal at a private party in Windenburg. The twosome got awfully familiar out on the veranda. Perhaps the flaxen femme is angling at marrying into old money?

The young lord is heir apparent to the duchy of Eswold and set to inherit a massive fortune. He is reportedly single. For now.

[news247planet]

#NBA's #Sources #NBA Sources: NBA's governors approve Hornets sale https://news247planet.com/?p=481597