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Step-by-step Python programming instructions for scientific tasks enhance user confidence and productivity
Case studies and real-world examples provide practical insights for researchers
Clear explanations of Python libraries and tools tailored for scientific workflows simplify learning
Compact 304-page paperback format is easy to carry and reference in the lab or office
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Report copyright infringement by John M. Stewart (Author), Michael Mommert (Author) The third edition of this practical introduction to Python has been thoroughly updated, with all code migrated to Jupyter notebooks. The notebooks are available online with executable versions of all of the book's content (and more). The text starts with a d