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Overview: Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert. Unlike Matlab, or R, Python does not come with a pre-bundled set of modules for scientific computing. Below are the basic building blocks that can be combined to obtain a scientific computing environment: Python, a generic and modern computing language: • The language: flow control, data types (string, int), data collections (lists, dictionaries), etc.; • Modules of the standard library: string processing, file management, simple network protocols; • A large number of specialized modules or applications written in Python: web framework, etc.; • Development tools (automatic testing, documentation generation).
Genre: Non-Fiction > Tech & Devices
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https://rapidgator.net/file/68309867c79 … 3.pdf.html.
