Articles, videos, and documentation to help you get the most from Visual Crossing Weather
Natural Language Processing (NLP) is an artificial intelligence process used to by computer systems to find the meaning of text content. This allows the human users to ask questions using sentences written in a natural way using normal sentences. Successful NLP systems will allow users to ask questions in different ways and still be able …
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Swift is the key development language on Apple platforms replacing the older Objective-C as the goto language for Apple’s desktop and mobile platforms. Given its importance especially on mobile platforms, it is natural that Swift developers would want to load weather data into their applications. Luckily, frameworks available in Swift’s make it easy to compose …
As C# is a key language used to build powerful applications both inside the .NET Framework and beyond, it is natural that C# developers would want to load weather data into their applications. Luckily, C#’s built-in functions make it easy to compose and execute web queries and also easy parse the JSON results into objects …
The Weather API enables you to return a icon name for each row of weather data. This icon field provides a high level summary of the weather that for that time period and is designed to present a simply view of the weather, such as providing the basis for icon names. You may specify different …
Continue reading “Defining the icon set parameter in the Weather API”
As Ruby is a key language used to build web applications and an important language for data analysis, it is natural that Ruby developers would want to load weather data into their applications. Luckily, Ruby’s built-in functions make it easy to compose and execute web queries and also easy parse the JSON results into objects …
The queryCost parameter can be found in the response of the Timeline Weather API. QueryCost is used to indicate how many result rows the query counts as towards your metered billing or any daily or monthly query cost limit that may apply to the plan being used. Examples of the queryCost parameter Weather Forecast Request …
When you have a large weather query, it is typically a good idea to segment it into multiple, smaller queries and then execute those separate individually. This is important for more consistent timing performance inside your application, debugging, and timeout avoidance among under reasons. In this article, we will discuss when it makes sense to …
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The Timeline Weather API is the simplest and most powerful way to retrieve weather data. You can request data over any time window including windows that span the past, present, and future. The API will take care of the combining historical observations, current 15-day forecasts, and statistical weather forecasts to create a single, consolidated dataset …
If you are running, or submitting an entry to, a hackathon, you may find yourself needing a weather API to retrieve weather data. The Visual Crossing Weather API is the perfect API for hackathons as it provides free access and rich features. The Weather API offers hourly historical weather data, 16-day weather forecasts and future …
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In this article we are going to demonstrate how to import data from a RESTful Weather API. This API returns JSON-based data into Microsoft Excel. We are also going to explain how to create a loop within our script so that we can call the API multiple times for multiple locations and create a combined …
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