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Note If you want to see the previous and current versions of an image, you can use the History panel on the right side of the Photoshop workspace. It displays the previous versions of your image as you make changes. You can also see the current version directly in the Layers panel. Photoshop has another advantage. With any type of image, you can create layers for every adjustment you want to make. In Figure 13-3, I’ve created three layers for this image: * **Adjustment**. Layer for any adjustments. * **Effects**. Used to apply special effects. * **Background**. Holds any background information such as the original photo or flat art. If you switch to a different type of layer, the layer is



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We’re not going to go into all the advanced features and tricks of this great editor, as it’s beyond the scope of this article. What’s included? When you first open the program, you’ll notice that the interface is very simple, but it’s packed with great features. The interface looks like this: When you first start up Photoshop Elements, you’ll notice an About box that includes the Elements version, a link to the Elements Help documents, a link to the Photoshop website, and a link to the Google Plus page. Also, if you click on the folder icon on the left, you’ll see the folders are arranged in a right-side tree. To access the folders, you have to click on the folder icon, which is the folder up in the far right corner. (Note that this article will refer to the folder icon for the major folders only.) Clicking on the folder icon reveals a window like this: To access the toolbars, press Ctrl+T (Command+T on macOS) and click on the icon. Here’s a picture to help you remember where the toolbars are: I’ll warn you in advance that every toolbar has a title. If it’s too difficult to find the tool you need, try a search for a common word. Here are a few of the tools you can use to quickly fix an image: First, you can use the Magic Wand or Lasso tool to select a specific area of an image. Then, you can use the Quick Selection tool to crop the area you want. To select an area of the image, simply click and drag inside the boundary. Then, use the Tool options (the options are on the top left side of the magic wand). You can set the tolerance size, which will determine how small an area of the image you can select. If you click on the white outline, you’ll see the tolerance size, which determines how large an area you can select. Also, you can check the “Invert” box to select the boundary of the area you’ve selected. When you’re satisfied with the selection, click on the Magic Wand again to deselect the area. 05a79cecff



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Sid Meier’s CEO Mark Rein has revealed plans for a new game titled XCOM: Mobile. Rein was speaking at our cover event at Gamescom, where we were given a chance to catch up with him and get a few more details about his mobile game plans. The game won’t be released until the next generation of mobile devices, the next wave of smartphones and tablets, arrive though Rein is already making use of the new hardware in prototype development. “We just want to be in a position to take a lot of advantage of everything that’s going to be out there,” he explained. XCOM: Mobile is the sequel to the original 2002 strategy/RPG/turn-based strategy hybrid and will, we understand, be pitched as an action-RPG centred on alien infiltration. “It’s got a whole bunch of new stuff,” Rein said. “We’ve been able to take it to a whole new level.” Rein compared the mobile experience to games on the iPhone, specifically with regards to the interface. “It feels like an iPhone game,” he explained. “There’s still a very sophisticated kind of feel to the controls, but the camera works just like a real phone camera, and the input device is the interface.” That interface, which is similar in style to the one found on the iPad 2, offers the ability to place your fingers on virtual buttons with your thumb – although its not yet fully tested on mobile hardware. “A lot of people have been messing around with it,” Rein said. “I’ve played it, and I think it’s one of the most exciting changes that we’ve seen in a long time. “You’ll notice that everything has a button,” he added. “It’ll be built on a whole bunch of different screen sizes, so the buttons will be hidden when you’re not in an interface, but when you do put your fingers down it’ll be like a real game. “It’s been more productive and has given us a lot more freedom to think about just how to make a game. This is one example, but it’s the main kind of focus we’re really thinking about.” XCOM: Mobile is the first of several games Rein plans to build in the near future. “Next year we’re going to do Civilization, I want to do something a little more hardcore, because we need to keep our skills sharp,” Rein said. “Then we



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Q: What are the best practices for avoiding leaking of the global interpreter lock during Python run-time? I’m working on Python code that’s going to be used to run on a web server. I’m worried about performance, since I might need to run the code in parallel using MapReduce. I know that not returning a value from function means there’s no lock and it runs faster. However, it looks bad to have a flow of codes where a significant part of it is done during the run-time and the rest are done during the compilation time. The first problem is that I don’t know if the code I’m dealing with the most will be called during run-time. The second problem is that, if I were to return a value for the most part of my code, then I may need to return a list of values, and returning a list of values in the run-time may result in performance issues when using it in MapReduce. Any thoughts on this? A: The issue you’re hitting here isn’t about locking – your question was tagged with “multi-threading” so you need to read up on that first. The issue is just a simple one of parallelism: one big thread with lots of things happening doesn’t scale very well, while lots of small workers that return values up the chain is the way to go if you’re going to work on scaling. There are tons of concurrency techniques that might be applicable to your particular code, depending on what it does. One very general one is the producer/consumer pattern. The key is to get that first part as fast as possible. A: The python interpreter is single threaded, so you don’t need to worry about that. The issue is that things that are part of a map or filter in Python take time to start up, so that’s where you may find yourself wanting to do CPU intensive tasks, and those may not be thread safe. Otherwise Python is thread safe. In general for anything that has the potential to be heavy I try to pass it into a function and use it there. In the python case, for example, instead of returning a large list from a function I’d print it to stdout and then use a multiprocessing pool to divide up a huge list, or use something like the h5py module. But if you want to actually accomplish things in parallel, maybe some design advice



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Minimum: OS: Windows XP (SP3), Windows Vista, Windows 7, Windows 8, Windows 10 Windows XP (SP3), Windows Vista, Windows 7, Windows 8, Windows 10 CPU: 2.4 GHz Pentium 4 or equivalent processor 2.4 GHz Pentium 4 or equivalent processor RAM: 512 MB 512 MB Video: Microsoft DirectX9 graphics card Microsoft DirectX9 graphics card DirectX: Version 9.0c Recommended: OS: Windows XP (SP3), Windows Vista, Windows 7,



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