Learn to master basic programming tasks from scratch with real-life
scientifically relevant examples and solutions drawn from both
science and engineering. Students and researchers at all levels are
increasingly turning to the powerful Python programming language as
an alternative to commercial packages and this fast-paced
introduction moves from the basics to advanced concepts in one
complete volume, enabling readers to quickly gain proficiency.
Beginning with general programming concepts such as loops and
functions within the core Python 3 language, and moving onto the
NumPy, SciPy and Matplotlib libraries for numerical programming and
data visualisation, this textbook also discusses the use of IPython
notebooks to build rich-media, shareable documents for scientific
analysis. Including a final chapter introducing challenging topics
such as floating-point precision and algorithm stability, and with
extensive online resources to support advanced study, this textbook
represents a targeted package for students requiring a solid
foundation in Python programming.
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