Examples of using Parse in English and their translations into Chinese
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Ecclesiastic
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Programming
Beginning today we're winding down the Parse service, and Parse will be fully retired after a year-long period ending on January 28, 2017.
In my previous article, I showed you how awk could easily parse this file.
But with the rise of machine learning technology, computers can parse images, and the largest user of cameras will be machines.
Designed to make creating web applications and APIs easier, Parse is cross-platform and works everywhere that Node. js can be deployed.
The device typically stores the HID descriptor in ROM and does not need to intrinsically understand or parse the HID descriptor.
In order to be consistent with the XML 1.0 Recommendation[XML], the user agent must parse and evaluate an XHTML document for well-formedness.
We have worked closely with the Parse team and have seen first-hand how important their solutions and platform are to developers.
It can be used to understand sentiment on social media or parse intent from conversations happening in a call center or a messaging app.
Most people who use SOAP don't write SOAP messages directly but use a SOAP toolkit to create and parse the SOAP messages.
So, I started using Parse, which until last year was the best tool for mobile developers who didn't want to handle server side programming.
The researchers used natural language processing algorithms to scan and parse the text of millions of different recipes.
It is not intended to perform analysis itself, but to capture, parse, and log the traffic for later analysis.
Add to that, I personally requested that Parse will write a detailed help for migrating to another service like Amazon Web Service.
The setting of SET IDENTITY_INSERT is set at execution or run time and not at parse time.
Bloomsbury AI's natural language processing(NLP) and machine reading technology can parse unstructured texts and documents in order to answer questions.
Once you have your data in your own database, Parse Server lets you keep your application running without major changes in the client-side code.
This is because we follow the content-head principle, under which dependencies are drawn between content words, with function words becoming leaves in the parse tree.
Split tunneling can be used to optimize IoT networks as operators can parse critical from non-critical data and kernels from abstract layers.
Parse is a great choice because it's Open Source, has a strong developer community to support the technology and comes with no vendor lock-in.
Using techniques like color coding specific themes and ideas helps parse textual data to find the most common threads.