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I found the the Google Geocoding API service which is very useful.
but in all sample appears necessary to put an argument called Key for provide the google Api Key. That implies that it involves costs, but I saw that it works well without this argoment.
example:
https://maps.googleapis.com/maps/api/geocode/xml?address=1600+Amphitheatre+Parkway,+Mountain+View,+CA
You can count on? they have any limitations?
Usage Limits
The Google Geocoding API has the following limits in place:
Users of the free API:
2,500 requests per 24 hour period.
5 requests per second.
Google Maps API for Work customers:
100,000 requests per 24 hour period.
10 requests per second.
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According to developpers.google.com, we can store the placeIDs and refresh them to get the details. I need to get the place nearby in order by distance over 500 meters. I don't know how to do it without the location storing.
Can I store the place locations with the placeIds according to developpers.google.com?
Thank you for you replies.
SyLaDe
In my opinion, Google Maps place_id is just the key to request basic information about that place (and it's free) or you can request detail information such as contact and atmosphere (with additional charge).
If you wanna get the place nearby in order by the distance over 500 meters, you can simply use Nearby Search requests under Place API.
for example:
https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=-6.321516009,106.86227379999998&radius=500&key=yourkey
and you will get json result that you can store and organize.
To get longitude and latitude, you can manually choose from google maps, or you can get it from GIS tool with coordinates acquisition.
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I'm working on a book for Manning and want to use Alchemy News API as part of one of the examples. I have a free license which says it allows for 1,000 transactions per day. Does that mean 1,000 queries or something else? I hit the limit today way earlier than I expected to, at significantly less than 1,000 queries.
Each type of call has different amounts of transactions it uses. The text analysis uses just 1 transaction but the image analysis uses more. I believe it used about 5 transactions per image but it's been awhile since I've used the image recognition.
The number of transactions used is given in the response from AlchemyAPI. It also gives you more details in the documentation.
Query Cost + Result Cost = Total Cost
This is something I learnt today. Therefore you'll run out of transactions easily with loads of data. Keep your queries to a minimum.
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is there a specific reason why Ryanair is missing from the QPX Express API results while it appears in a normal search on Google Flight?
Thanks
Max
I noticed that the QPX API and Ita Software Matrix (by Google) gives the same results, not including a lot of companies like Ryanair.
I asked Google Support about it.
The answer is:
"QPX Express API and Matrix only include fares that are filed with ATPCO. There are a number of small carriers and low cost carriers that do not file."
Asking Google if they consider to add these flights to their APIs the answer was:
"Airlines determine which distribution channel they want to participate in. If any of these airlines were to file with ATPCO, then we would certainly be interested."
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I wish to use Google 2-grams for my project; but the data size renders searching expensive both in terms of speed and storage.
Is there a Web-API available for this purpose (in any language) ? The website http://books.google.com/ngrams/graph renders an image, can I get data values?
Well, I got a round about way of doing that, using Google BigQuery
In that, trigrams are available in public domain. Using Command line access did the job for me.
I found a great alternative: Microsoft Web N-Gram
It can be queried in different ways, including a straighforward GET call through the REST interface.
For instance, calling the URL:
http://weblm.research.microsoft.com/weblm/rest.svc/bing-body/apr10/1/jp?u={YOUR_TOKEN}&p=red+panda
returns
-9.005
which is the log likelihood of the phrase red panda.
Furthermore, it is handier than Google N-Grams, as for a given phrase it does not simply output its absolute frequency, but it can output its joint probability, conditional probability and even the most likely words that follow.
Disclaimer: I am not a Microsoft employee, I simply think that I just found an awesome service.
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For the purposes of history on wikipedia, is anyone familiar with the origin of the phrase "embarrassingly parallel". I've always thought that it may have been coined by a random Google employee who first worked on map-reduce. Does anyone have any concrete info on the origin?
The first use I could find in an advanced Google book search was from an IEEE Computer Society digest published in 1978. The context and the fact that the author had "embarrassingly" in quotes indicates to me that the phrase was not coined here, but had been used before this.
It's decades old, but I first heard it used in reference to graphics rendering. Imagine you're rendering an animated movie: each frame is 2000x1000 pixels, there are 24 frames per second, 60 seconds in a minute, and 100 minutes in the movie. That's almost 300 billion pixels that can all be computed in parallel. That's so parallel that it's embarassing to compute it serially.
Try this search : http://www.google.co.nz/search?rlz=1C1GGLS_enNZ364NZ365&sourceid=chrome&ie=UTF-8&q=etymology+embarrassingly+parallel