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SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!

With the following three steps, you can set up a Disco cluster in the Amazon's Elastic Computing Cloud. This will cost you a few dollars (or more, depending on your needs) but requires no resources on your side besides a single machine that you use to setup the cluster. In this setup Disco master and nodes run on EC2. Your Disco client can run either on the master node on EC2 or on a local machine.