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Scientific Computing with Python 3 (Paperback, 2nd Revised edition)
Loot Price: R1,442
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Scientific Computing with Python 3 (Paperback, 2nd Revised edition)
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An example-rich, comprehensive guide for all of your Python
computational needs About This Book * Your ultimate resource for
getting up and running with Python numerical computations * Explore
numerical computing and mathematical libraries using Python 3.x
code with SciPy and NumPy modules * A hands-on guide to
implementing mathematics with Python, with complete coverage of all
the key concepts Who This Book Is For This book is for anyone who
wants to perform numerical and mathematical computations in Python.
It is especially useful for developers, students, and anyone who
wants to use Python for computation. Readers are expected to
possess basic a knowledge of scientific computing and mathematics,
but no prior experience with Python is needed. What You Will Learn
* The principal syntactical elements of Python * The most important
and basic types in Python * The essential building blocks of
computational mathematics, linear algebra, and related Python
objects * Plot in Python using matplotlib to create high quality
figures and graphics to draw and visualize your results * Define
and use functions and learn to treat them as objects * How and when
to correctly apply object-oriented programming for scientific
computing in Python * Handle exceptions, which are an important
part of writing reliable and usable code * Two aspects of testing
for scientific programming: Manual and Automatic In Detail Python
can be used for more than just general-purpose programming. It is a
free, open source language and environment that has tremendous
potential for use within the domain of scientific computing. This
book presents Python in tight connection with mathematical
applications and demonstrates how to use various concepts in Python
for computing purposes, including examples with the latest version
of Python 3. Python is an effective tool to use when coupling
scientific computing and mathematics and this book will teach you
how to use it for linear algebra, arrays, plotting, iterating,
functions, polynomials, and much more. Style and approach This book
takes a concept-based approach to the language rather than a
systematic introduction. It is a complete Python tutorial and
introduces computing principles, using practical examples to and
showing you how to correctly implement them in Python. You'll learn
to focus on high-level design as well as the intricate details of
Python syntax. Rather than providing canned problems to be solved,
the exercises have been designed to inspire you to think about your
own code and give you real-world insight.
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