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View Code? Open in Web Editor NEWAdvanced-level tutorial for Numpy
Advanced-level tutorial for Numpy
**NOTE**: this tutorial now resides in http://github.com/emmanuelle/Euroscipy-intro-tutorials Numpy is at the base of Python's scientific stack of tools. Its purpose is simple: implementing efficient operations on many items in a block of memory. Understanding how it works in detail helps in making efficient use of its flexibility, taking useful shortcuts, and in building new work based on it. This tutorial aims to cover: - Anatomy of Numpy arrays, and its consequences. Tips and tricks. - Universal functions: what, why, and what to do if you want a new one. - Integration with other tools: Numpy offers several ways to wrap any data in an ndarray, without unnecessary copies. - Recently added features, and what's in them for me: PEP 3118 buffers, generalized ufuncs, ...
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