Web design side decoration [closed] - photoshop

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I was wondering if anyone know of some good tutorials on how to design and code side decorations(or whatever right term there is) like the ones on these website:
http://www.buckle.com/
I'm referring to the spring yellow and red flowers/butterflies
Thanks

This is a pretty good place to start...
http://www.webdesignerwall.com/ (I have had a quick look through and ordered these more to less relevance)
http://www.webdesignerwall.com/tutorials/how-to-css-large-background/
http://www.webdesignerwall.com/tutorials/illustrator-abstract-vector-art/
http://www.webdesignerwall.com/tutorials/design-process-of-the-phoenix/
http://www.webdesignerwall.com/tutorials/photoshop-hand-drawn-design/
http://www.webdesignerwall.com/tutorials/photo-strip-photoshop-tutorial/
http://www.webdesignerwall.com/tutorials/css-decorative-gallery/
http://www.webdesignerwall.com/tutorials/design-watercolor-effect-menu/
You might have flick through a couple of pages but it is really good and you will find plenty of other stuff too.

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Anonymizing and masking of text data [closed]

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I have a set of emails which i need to anonymize before I can do any analysis on it. Since sensitive data may be disclosed in the emails, like referring to people, or providing phonenumbers etc.
The tools i have found so far, only uses tables, and mask this, which is quite straight forward to do myself, but it does not solve my problem.
So i am looking for a tool or library, that can help me solve this. I would assume it need to do some Natural language processing in order to analyze how the text is built up, and where refferences to people are being mentioned. I would also appreciate any good articles in this area

What are the spell correct api's available? [closed]

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I wanted to know the spell correct api's available for commercial/non commercial usage other than google/bing.
First of all you can write your own spell corrector with this tutorial. In addition there are some Python packages that may help you with that, such as TextBlob (which I highly recommend). Another option is Gingerit which Iv'e never tried but looks promising. Another DIY spell correct tutorial might interest you as well.
https://www.gigablast.com/spellcheckapi.html
I just launched this, so it's still beta, but it's not bad. It has a dictionary of over 600,000,000 entries covering most non-Asian languages.

Where can I read about ContentManager.Query() in Orchard? [closed]

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I hate to ask questions like these, but where can I learn about this particular part of the Orchard API?
The documentation doesn't go into half as much detail as it should/could so would be very grateful if somebody could point me in the right direction of an example/usage explanation of Query() and it's overloads. I can't accurately form a query without it.
The Training Demo module has a lot of examples: https://orchardtrainingdemo.codeplex.com/SourceControl/latest#Controllers/ContentsAdminController.cs
Beware though: https://orchard.codeplex.com/workitem/20131

IE BHO screenshot [closed]

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Where would I find the API that I can call from a BHO?
Basically I need to figure out how long will it take to build a screnshot functionality inside IE.
I have done the same research for FF and it was quite easy to find information on how to do it and what sort of API I would have available but now I need to do the same for IE and can't seem to find any information about it. Just the plain old tutorials on how to build a BHO etc.
Thanks in advance
Ok I got my answers:
Here is a good start point for the API and here is a good example on how to do a screen shot in C#

Real time lightning strike API [closed]

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I'm looking for an API that will provide real-time lightning strike data in a metro area and searches have come up short. Please send me the link and an overview of your experience if you have worked with one in the past.....
Thanks!
I would recommend that you have a look at the Vaisala Global Lightning Dataset GLD360 system.
Turns out, there are two big players:
1) Vaisala
2) NAPLN
We chose to use NAPLN.