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Express is free to all users and contains all the Python libraries, NumPy, MatPlotlib, SciPy, etc, that are described in this manual. They offer three distributions: Express, Basic, and Professional. One stop shopping and everything is free for academic users. I get my latest version of Python and all the packages I need for scientific computing here. I go to this page mostly to learn about IPython Notebook ( ) but it’s also useful if you need information about the IPython interpreter, especially if you want to find out more about IPython magic commands. The site is also useful for learning some MatPlotLib tricks. You can go the the main MatPlotLib page,, but frankly, it’s less useful. It has a search feature and links to all the MatPlotLib documentation, which I use a lot. The Plotting Commands Summary page for MatPlotLib.
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Who says I have to be consistent? (see Emerson) I start here when I need information about SciPy, its various packages and their functions. By the way, I say “num-pee”, which rhymes with “bumpy”-a lot of people say “num-pie”, which doesn’t sound like English to me. It has links to just about all the NumPy documentation I need. I usually start here when I need information about NumPy. Someday, when all the most useful packages are available for Python 3, we will switch to Python 3 and use instead. Sometimes I look here for detailed information about Python 2, which is the version used in this manual. Nevertheless, if you find a really cool site that you think should be on this list, please let me know. I have successfully resisted any attempt to be exhaustive so that the list is actually useful. Nevertheless, I list a few web sites here that you might find useful. The best web resource for Python is a good search engine like Google. Here I point out several that you may find useful. There are many other resources that you will want to tap.
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This text provides an introduction to Python for science and engineering applications but is hardly exhaustive.