How can I get foreign exchange rates thru an API? [closed] - currency

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I need an API that provides latest currency exchange rates for my money transfer website

Try by using CurrencyFreaks API. Its key features are:
Reliable data as they source their data from various trusted Forex exchanges and
Banks.
You can get updates every 60 sec.
You can change the ‘Base’ currency.
It provides currency exchange rates for 179 currencies worldwide including currencies, metals, and cryptocurrencies.
Supported codes for the endpoints are Shell, Node.js, Java, Python,
PHP, Ruby, JS, C#, Go, C, Swift.
Here is the latest exchange rates endpoint:
$ curl 'https://api.currencyfreaks.com/latest?apikey=YOUR_APIKEY'
The JSON response will be as follows:
{
"date": "2020-07-02 10:39:00+00",
"base": "USD",
"rates": {
"FJD": 2.1692,
"MXN": 22.602,
"STD": 22000.6197,
"SCR": 17.6,
"LVL": 0.6563,
"CDF": 1907.87,
"BBD": 2.0,
"GTQ": 7.7,
"CLP": 808.6,
"UGX": 3721.0,
"HNL": 24.7553,
"ZAR": 16.9326,
"TND": 2.8445,
"CUC": 1.0,
"SLL": 9778.35,
"BSD": 1.0,
[...]
} }
You can also get live currency exchange rates from here: https://currencyfreaks.com/exchange-rates
Hope it will help you.

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Get coordinate based on progress on route - Mapkit - Swift [closed]

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Basically, I have two points, A and B that are 10 miles apart if you drive. I draw a route using driving directions between them using MapKit.
I want to find point C's latitude and longitude, which is at the point on the route 2 miles from point A. This could also work based on a percentage(ex: 20% of the route is completed between point A and B).
Hopefully, this image can explain better then I can.
Does anyone have any idea on how to do this using Swift and MapKit?
Thanks!
You may want to check out the MKRoute response you receive from the MKDirections.
An MKRoute object defines the geometry for the route—that is, it contains line segments associated with specific map coordinates.
You will find the documentation for MKRoute here:
https://developer.apple.com/documentation/mapkit/mkroute

Grouping bulk text as into group based on the given similarity percentage [closed]

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I went through the following NLP gems available in GitHub NLP but not able to find the right solution.
Is there any gem or library available for grouping text based on a given similar percentage. All the above gems are helps to find similarity between two string but grouping a bulk array of data taking a lot of time complete.
You can do it by using just Ruby plus one of the listed gems.
I chose fuzzy-string-match because I liked the name
Here's how you use the gem:
require 'fuzzystringmatch'
# Create the matcher
jarow = FuzzyStringMatch::JaroWinkler.create( :native )
# Get the distance
jarow.getDistance( "jones", "johnson" )
# => 0.8323809523809523
# Round it
jarow.getDistance( "jones", "johnson" ).round(2)
# => 0.83
Since you're getting a float, you can define the precision you're looking for using the round method.
Now, to group similar results, you can use the group_by methos found on the Enumerable module.
You pass it a block and group_by will iterate over the collection. For each iteration, you return the value you're trying to group for (in this case, the distance) and it'll return a hash with the distances as keys and arrays of strings that matched togehter as values.
require 'fuzzystringmatch'
jarow = FuzzyStringMatch::JaroWinkler.create( :native )
target = "jones"
precision = 2
candidates = [ "Jessica Jones", "Jones", "Johnson", "thompson", "john", "thompsen" ]
distances = candidates.group_by { |candidate|
jarow.getDistance( target, candidate ).round(precision)
}
distances
# => {0.52=>["Jessica Jones"],
# 0.87=>["Jones"],
# 0.68=>["Johnson"],
# 0.55=>["thompson", "thompsen"],
# 0.83=>["john"]}
I hope this helps

Is there such thing as a Perabyte? [closed]

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I recently saw a marketing video that cited the "Perabyte" as a unit of disk storage measure. I emailed a representative responsible for the video and got a response that "1 Perabyte (PB) = 1024 Terabytes (TB)."
A quick google search seems to indicate that a Petabyte is defined as 1000 TB.
Is a Perabyte a real thing, and is it 1024 (vs 1000) TB?
Edit: This thread has answered my question, despite the votes to close. No one has heard of a "Perabyte" except as a misspelling of "Petabyte." Thanks.
Edit (2): Petabytes have been tagged real by "BRIGHT SIDE"
A perabyte doesn't exist, but a petabyte is a real thing. It is
2^50 bytes; 1024 terabytes, or a million gigabytes.
It seems likely that your perabyte was the result of a typo, seeing as 'r' and 't' are close on the keyboard.
The 1024 versus 1000 question most likely arises from which base you are using.
1024 is base 2, 1000 is base 10.
See https://en.wikipedia.org/wiki/Petabyte
A petabyte is 10005, or 1000 terabytes.
A pebibyte is 250, or 1024 tebibytes.
A perabyte is not a thing.

Convert from inches,lbs to centimeter,kg in iOS [closed]

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I have a problem:
My app allow user choose 2 options : Metric or Imperial.
If user select "Metric", height(cm), weight(kg).
If Select "Imperial: height(inch) and weight (lbs).
I need to change value of height from inch to centimeter and weight from lbs to kg.
Example :
user input : 70 (inch) and 120 (lbs) ==> convert to 177.8 (cm) and 54.5 (kg)
Thanks in advance.
The best example of unit convert is below link..

computervision: nudity detection solutions comparision (opencv based or custom code) & hash-lists & client side [closed]

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server side:
List item:
...: x% matches found, y% false positives (opencv +10 lines of code)
...: x% matches found, y% false positives (large custom code since 1995)
another:
Minimal OpenCV C++ code:
....
....
hash lists:
..: (financed by public money, restricted access as of ...)
...: (open access)
...: , y million entries, y % new last years (commercial $y / month)
...: , x million entries, x % new last years (commercial $x / month)
(serverside &) crowdsourced / crowd-verified:
Google images' filter: ... (restricted access, yet not even in webmastertools for owned websites)
client-side:
another: ... (will scan x megapixels per 50ms on a i5 2540 mobile)
nude.js (patrick-wied): ...
I completely rewrote this question, which was always closed and apparently appeared to be to wide rather than specific and "promote a link" rather than alternatives?
Task here now is to:
"Take inventory of all the worlds existing approaches for this development specific but widely unknown task."
(= to fill the gaps in the table above and maybe sample code/implementations)
While some windows software is marketed to parents whose kids surf the net,
this assumable wont anytime soon appear in a wikipedia article
"Comparision Of Nudity detection software" and from a development perspective. (nor on alternative.to/... )
also this is specific, yet widely underserved nor practiced.
Thus no single answer/link would be anything much of self-promotion/spam, this question on the contrary is prone to such less than the average question. Yet there dont need to be any links at all and there wont be answers with personal opinions and if there could be it would help more than nothing.
To run nude.js, check out the examples on this site.
Essentially, you need to include the JS files, and then run the checking algorithm on the images you want to run it on. There are 3 functions: nude.init() nude.load(param) and nude.scan(function optional).
From the linked example site:
nude.load(node);
// Scan it
nude.scan(function(result){
alert(result ? "Nudity found in " + node.id + "!" : "Not nude");
});
It's also worth noting that an article from the developer recommends not using it in production mode.
I wouldn’t recommend using the library in production mode right now
because the detection rate is about 60%
You may want to check out the links on this question and answers on SO for alternatives.

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