As the open-source and free alternative to expensive software like
MapleTM, MathematicaR, and MATLABR, Sage offers anyone with a web
browser the ability to use cutting-edge mathematical software and
share the results with others, often with stunning graphics. This
book is a gentle introduction to Sage for undergraduate students
during Calculus II, Multivariate Calculus, Differential Equations,
Linear Algebra, Math Modeling, or Operations Research. This book
assumes no background in programming, but the reader who finishes
the book will have learned about 60 percent of a first semester
computer science course, including much of the Python programming
language. The audience is not only math majors, but also physics,
engineering, environmental science, finance, chemistry, economics,
data science, and computer science majors. Many of the book's
examples are drawn from those fields. Filled with ""challenges""
for the students to test their progress, the book is also ideal for
self-study. What's New in the Second Edition: In 2019, Sage
transitioned from Python 2 to Python 3, which changed the syntax in
several significant ways, including for the print command. All the
examples in this book have been rewritten to be compatible with
Python 3. Moreover, every code block longer than four lines has
been placed in an archive on the book's website
http://www.sage-for-undergraduates.org that is maintained by the
author, so that the students won't have to retype the code! Other
additions include: The number of ""challenges"" for the students to
test their own progress in learning Sage has roughly doubled, which
will be a great boon for self-study. There's approximately 150
pages of new content, including: New projects on Leontief
Input-Output Analysis and on Environmental ScienceNew sections
about Complex Numbers and Complex Analysis, on SageTex, and on
solving problems via Monte-Carlo Simulations. The first three
sections of Chapter 1 have been completely rewritten to give
absolute beginners a smoother transition into Sage.
General
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