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.