Teaching Resources
Here are a few resources that I have come across. I am not in any way endorsing these as correct. I am merely listing ones I find interesting, partly so that I can browse them as I have time.
I am not updating this page anymore.
For a nice listing of free textbooks, see section 5.1.3 of our UTMOST CCLI grant proposal.
Presentations
 Luke Campagnola gave one of my favorite 5minute lightning talks at the 2015 Scipy conference (video). I love how Luke paces his talk and uses his slides to support his narrative.
General resources for Math

Coursera, Udacity, and EdX offer many online courses in many subjects

Khan Academy – a large collection of short videos that walk you through science topics, including math, from gradeschool math through calculus and beyond. Many people really, really love these videos, but others have very valid reservations about them (see more and more and more about videos in teaching in general).

Derek Owens has a lot of videos reviewing various concepts, including calculus.

I’ve heard of students using CalcChat a lot.

James Tanton has some very interesting math videos for the high school and undergraduate level.

Institute for Mathematics and its Applications has a huge number of fascinating videos of talks. Mathematical Sciences Research Institute also has a huge number of great videos of talks.

OpenLearning seems to offer some free courses.

MathOverflow has another list of course videos. #Calculators

A Better Calculator is a really cool javascript graphing calculator.
Mathematics in Society
 Math in Society by David Lippman, which explores topics in a very introductory way. Topics include voting, dividing things, statistics, etc.
 Fun Facts about mathematics
Calculus
Here are a few free calculus textbooks.
PreCalculus
 Precalculus, used at University of Washington. This seems like a very nice book.
Standard Calculus
 Hoffman’s Calculus
 Calculus by Granville and then augmented by David Joyner. This includes lots of Sage examples for doing computations and graphs.
 Whitman Calculus
 Calculus by Gilbert Strang. This is a published book as well.
 Calculus by Benjamin Crowell
 Understanding Calculus by Faraz Hussain
 Differential Calculus by David B. Massey. I’m confused by this one. It doesn’t seem really free (you can pay them to get the source to create your own customized version), but you can download a PDF and watch online video lectures. It’s may just be good supplementary material for students. There is also an Integral Calculus book by the same author, and apparently a multivariable text is on its way.
 Paul’s Online Math Notes: Calculus I, Calculus II, and Multivariable Calculus.
 Heiner’s web page includes two links to calculus books he’s written.
 Calculus: Modeling and Application by David A. Smith and Lawrence C. Moore. When you click on the word “Copyright” on this page, you learn that “If and when MAA chooses the publish these materials, they will no longer be available without charge from this public site. In the meantime, we are eager to have teachers and students use these materials freely and provide feedback on their experiences, good or bad. Such educational use is explicitly permitted in the conditions below.” Please read that page fully to see the full terms of use.
 http://www.ebooksdirectory.com/listing.php?category=4  Lots of free calculus textbooks (including some of the ones mentioned above)
Multivariable calculus only
 Multivariable Calculus (inprogress PDF) by Ben Woodruff and Jason Grout. I teach from this (students also have a standard textbook for homework problems and additional explanation).
 Vector Calculus by Michael Corral
 Paul’s Online Math Notes for Multivariable Calculus.
 http://tutorial.math.lamar.edu/
 Multivariable Calculus by George Cain and James Herod, used at Georgia Tech.
 http://www.math.cornell.edu/~sjamaar/classes/3210/notes.html – notes on differential forms (think: deep, advanced multivariable calculus)
 Differential Geometry by Shifrin
 The Calculus of Functions of Several Variables by Dan Sloughter
 Differential Forms by David Bachman—this is a rough draft of a set of notes that was later published as a book
Sage Worksheets
 John Travis has a number of fantastic worksheets.
Multivariable Calculus
 Multivariable Calculus Quickstart
 Optimization: Gradients, Partial Derivatives, Lagrange Multipliers
 Introduction to Sage
 Functions: Cylinders, Parametric
 Functions: 3d, Vector, Surfaces
 Partial Derivatives
 Line Integrals; Physical Applications
 Line IntegralsVector Fields
 Gradient Field/Directional Derivative
 Second Derivative Test
 Lagrange Multipliers
Advanced Calculus
 ProblemText in Advanced Calculus by John M. Erdman. This is an “advanced calculus” book.
 Advanced Calculus by Shlomo Sternberg
 A bunch of real analysis books.
Calculus (other material)
 The following OpenCourseWare courses overlap with our multivariable calculus course:
 http://webcast.berkeley.edu/course_details_new.php?seriesid=2009D54296&semesterid2009D – Multivariable Calculus at UC Berkeley
 http://ocw.mit.edu/OcwWeb/Mathematics/1802Spring2006/CourseHome/index.htm
 http://ocw.mit.edu/OcwWeb/Mathematics/1802Fall2007/CourseHome/index.htm
 http://www.maths.ox.ac.uk/courses/2009/moderations/appliedmathematicsii/calculusthreedimensionsandapplications/material
 http://math.furman.edu/~dcs/java/newton.html
 http://www.math.umn.edu/~garrett/qy/BadNewton.html
 A nice explanation of the product rule.
 Multivariable calculus and Matlab
 A nice overview of vector field visualization techniques.
 Cool visualization of the wind vector field, and another one.
 Helpful resources – a page of links.
 Michael Rogers has some very nice demonstrations, and some especially nice ones for multivariable calculus.
 Good Questions for understanding and testing calculus material.
 Vector Field Visualization of wind (current and animated—really cool!)
 Visualize current weather from NOAA
 Visualizing 2d and 3d vector fields using animation, along with work and flux
Ordinary Differential Equations
 http://math.bu.edu/odes/–This looks like an interesting approach to teaching differential equations, emphasizing modeling and computation.
 According to Thierry Dumont, “For the ODEs, the best and the most modern methods are there: http:*www.unige.ch/~hairer/software.html”
 VFGEN generates the inputs to lots of different solvers. This is a decent listing of lots of different systems.
 DAEtools
 PyDSTool
PDE
 The PDE Coffeetable book  a series of 2page spreads about various PDEs.
 Finite Difference and Spectral Methods for Ordinary and Partial Differential Equations by Nick Trefethen
Numerical Analysis
Websites
 The history of numerical analysis – a very nice website by SIAM, including some *very// interesting interviews with the pioneers.
 What every programmer should know about floating point
Courses
The following OpenCourseWare courses seem like they overlap with our numerical analysis course: * http://ocw.mit.edu/OcwWeb/Mathematics/18086Spring2006/CourseHome/index.htm * http://ocw.mit.edu/OcwWeb/Mathematics/18335JFall2006/CourseHome/index.htm * Computational Science and Engineering
Here are a few other course outlines: * http://persson.berkeley.edu/128A/ * Short course
Software
 MPIR  MPIR is an active fork of the longestablished GMP project, implementing multiprecision integers and rationals.
 MPFR  multiprecision correctlyrounded floating point computations.
 An overview of software which comprises an appendix in the Cheney/Kincaid numerical analysis book.
 A freelyavailable reference floatingpoint libm made by Sun
 Eigen  what looks like a very nice C++ library for doing matrix arithmetic. This library looks like it has a very nice API.
Sage Worksheets
 Basic Quickstart
 Floating Point lab
 Repeated Roots
 Polynomial Approximation (drake)
 Splines and Netlib
 LAPACK
 Iterative Methods
Books
 Tom Sederberg’s book on computer graphics, including very nice explanations of splines and Bezier curves.
 Notes from a class on numerical computing with python
 http://wwwusers.math.umd.edu/~dlevy/books/na.pdf – A set of Numerical Analysis notes by Doron Levy at University of Maryland
 Stephen Pav’s Numerical Analysis book follows roughly the treatment in Cheney and Kincaid. This book is free to modify and redistribute, and uses a smattering of Octave or Matlab in the exercises. You can also contribute through the opensource version repository.
 MPIR Documentation (algorithms chapter) contains a good overview of methods for doing computer arithmetic. You can also see the GMP documentation.
 Modern Computer Arithmetic by <img style=’’ src’/img/< wp “Richard Brent (scientist)Richard Brent” >’> (think Brent’s algorithm) and <img style=’’ src’/img/< wp “Paul Zimmermann” >’> (who helps develop MPFR). These gentlemen know what they are talking about.
 Matters Computational – This book (and accompanying software) describes a wide variety of algorithms, including combinatorial and numerical algorithms.
 Holistic Numeric Methods Institute has a large number of tutorials and videos about lots of different numerical methods topics.
 Data Analysis for Politics and Policy by Edward Tufte, a recognized authority in presenting information clearly
 Computational Mathematics
 A free online text from University of Waterloo also seems to be pretty impressive.
Articles
 Kahan’s web page is an excellent resource for very interesting numerical issues. In particular, I enjoyed reading parts of How Futile are Mindless Assessments of Roundoff in FloatingPoint Computation? and why Java numerical conventions hurt.
 Lenore Blum has some thoughts on two different models for dealing with numerical issues (a CScentric one and a mathcentric one) (this was published in the AMS Notices as well).
 Various problems calculators and computers have in computing mathematics.
 A nice article in the AMS Notices on Bezier curves.
 A challenge to find why a very simple floating point computation is having lots of errors.
 What every programmer should know about floating point numbers
 PHP had an infinite loop when (on 32bit x87 FPU code) extended precision registers were used instead of normal floating point precision. The Java JVM also has a (different) infinite loop trying to handle the same floating point number.
 When is 1 equal to 128? When you use floating point arithmetic, of course!
Math modeling

The following OpenCourseWare courses seem like they overlap with our modeling course: * http://openlearn.open.ac.uk/mod/resource/view.php?id=163003&direct1 * http://openlearn.open.ac.uk/course/view.php?id=2553 * http://openlearn.open.ac.uk/mod/resource/view.php?id=163023&direct1 * http://openlearn.open.ac.uk/mod/resource/view.php?id=162993&direct1 * http://openlearn.open.ac.uk/course/view.php?id=2559

http://www.capital.edu/21424/ComputationalStudies/7111/ A huge list of modeling topics/projects for undergraduate students.

Fantastic book by NIST on modeling

http:*www.math.yorku.ca/SCS/Gallery/ – Good and misleading graphs (look at the Ithaca Times example on http:*www.math.yorku.ca/SCS/Gallery/context.html!)

g3data can help extract the data from a scan of a graph.

The Plus magazine has lots of fascinating modeling articles.

A variety of simulation resources are listed at the SimPy homepage.

SimPy – a python discrete simulation environment
 Collectors
 See also a textbook on using SimPy to teach.
 An epidemiology demo also looks interesting.
 A SimPy tutorial

SimJS – a javascript discrete simulation environment

Another book on optimization algorithms, using lots of the natureinspired algorithms.

Pagmo is a python package implementing a number of optimization algorithms.

Approximation theory  an inprogress book on Approximation Theory by Nick Trefethen

Probabilistic Programming and Bayesian Methods for Hackers  based on Python and uses a lot of cool examples.
Population
 US Census projection methodology (i.e., how are US population projections computed?)
 Vital Statistics for Iowa, including birth and death rates
 U.S. Census Migration estimates
 Leslie models:
Hidden Markov Models
 Brief review of history of hidden Markov models
 A more basic tutorial on HMM – I’d suggest starting here
 A tutorial from Rabiner and Juang
 Rabiner’s paper, which is a bit dense mathematically if you don’t have a probability background, but has a good introduction about the basic classes of problems.
 HMM in biology
 <img style=’’ src’/img/< wp “Hidden Markov model” >'>
 Some more resources about training hidden Markov models: MIT slides, an example, another resource
Other notes
Linear Algebra
Books
 Immersive Linear Algebra. This book has interactive visualizations for lots of concepts in linear algebra.
 Linear Algebra by Jim Hefferon. This seems like a nice, standard book that is easy to read.
 A First Course in Linear Algebra by Rob Beezer. This is a very careful, nice book. If you have questions about the details of how something works, this is a great reference, as *everything// is crossreferenced to appropriate theorems, definitions, etc.
 Linear Algebra by Ben Woodruff. This is a radically different approach to a course in linear algebra compared to more standard texts. I think this approach has a lot of potential, and plan to use it in teaching soon.
 MIT Linear Algebra uses Strang’s book and has a number of other helpful resources, like a glossary.
 Linear Algebra (inprogress PDF): my edited version of Ben Woodruff’s linear algebra book.
 Terry Tao’s online notes covering the subject look very interesting. For example, in week 3, Terry brings up nice ideas about treating bases as “units” of a vector space, so that
(
mathbb{R}
) is a quantity, but a “foot” is a basis, and one foot is just a vector with coordinate 1 in the basis of “foot” and coordinate 12 in the basis of “inch”. The concept of linear transformations also has examples in this.  While not free, Carl Meyer’s Matrix Analysis textbook is available as a pdf download.
 George Benthion has a number of notes on his site, including what looks like a very nice book on numerical linear algebra.
 Solving largescale eigenvalue problems is a booklength set of course notes.
Articles
 Geometric explanation of Singular Value Decomposition. Also gives some of the many realworld uses of SVD.
 19 ways to compute matrix exponentials. Coauthor is Cleve Moler, the original author of Matlab)
 Visual Fourier Transformation
 Visual eigenvalues and eigenvectors
Labs and Projects
 David Arnold’s linear algebra page has a lot of nice units and student projects posted, along with lots of links to ideas for student projects.
 Principal component analysis seems like another good project.
Software
Here are some very specialized packages for computing in linear algebra.
 BLAS
 LAPACK (and cousins)
 Sage
 MATLAB
 ExpoKit  One of the most advanced software libraries for computing matrix exponentials
 Eigen  what looks like a very nice C++ library for doing matrix arithmetic. This library looks like it has a very nice API.
 http://www.netlib.org/utk/people/JackDongarra/lasw.html A nice list of linear algebra software packages.
Sage Worksheets
 Linear Algebra Quickstart
 Three class demos: Transformations, Markov models, and Unstable Inverses
 Linear Algebra Arithmetic
 Linear Algebra Applications: Vector Fields and Derivatives
 Linear Algebra Applications: Fitting and Regression
 Linear Algebra Applications: Markov Processes, Kirchoff’s Law, Cramer’s Law
 Linear Algebra Applications: Vector Spaces
 Linear Transformations
 Linear Algebra Applications: Discrete Cosine Transform (JPEG Compression)
 Lab 1: A matrix and its transpose
 Lab 2: Canonical Bases
 Lab 4: Discrete Cosine Transform
Graph Theory
 http://wwwteo.informatik.unirostock.de/isgci/japp.html  A huge database of classes of graphs and their inclusions.
Statistics and Probability
 Raazesh Sainudiin’s homepage has a number of free resources (booklike lecture notes, comprehensive sets of Sage worksheets) for a number of probabilityrelated courses.
 Distributome has a number of free javascript resources about various distributions. Another site with javascript is http:*www.math.uah.edu/stat/.
 Collaborative Statistics  a popular free opensource textbook for statistics
 40 years of boxplots  a nice introduction and history of boxplottype plots
 http://www.openintro.org/ – Stats textbook
 Peter Norvig gives an excellent overview of common problems in experiment design.
 Zipfian has a big list of resources to learn about data analysis, many of which are free.
 Statistics done wrong – a guide to common errors in doing statistics.
 Correlation does not imply causation (Evidence). Also, Frequentist vs. Bayesian
Physics
 Physics for Entertainment
 Mechanics by Spivak
 Lots of course notes
 Stack Exchange list of lots of free textbooks.
 Motion Mountain–one of the longestrunning free physics textbooks.
Proofs
Other books
 NIST Digital Library of Mathematical Functions  *The// reference book for all sorts of mathematical functions
 Abstract Algebra: Theory and Applications by Tom Judson
 College Algebra (CC licensed, source provided)
 Handbook of Applied Cryptography
 OpenCourseware notes on error correcting codes
 http:*dimensionsmath.org/Dim_E.htm  Some *very// nice videos talking about dimensions.
 Geometry Unbound by Kiran Kedlaya, based on notes for the Math Olympiad team.
 http://www.amazon.com/dp/0070353700 I’ve heard this is a good reference book, but I have never read it
 Probability and Statistics by Norman Matloff. Norman also has a number of other open textbooks (see his webpage.
 Algorithms
 Enumerative Combinatorics  a classic by Richard Stanley. The first volume is free online.
Collections of materials
 Better Explained has some very nice blog posts on math
 University of Minnesota listing of free textbooks (professors are in the process of reviewing them too).
 Saylor – lots of college courses broken down to objectives and specific free material for each objective
 Online College Class material (lots of free books and very organized)
 Open Curriculum Resources by Rob Beezer. This is a very list of good opensource math textbooks
 http://code.google.com/u/nguyenminh2/ Minh Nguyen is working on several opensource math books.
 Curriki  A site spearheaded by Scott McNealy, cofounder and former CEO of Sun Microsystems, with lots of free textbooks.
 http://people.math.gatech.edu/~cain/textbooks/onlinebooks.html  A very good listing of various online mathematics textbooks
 http://www.ebooksdirectory.com/listing.php?category=3  Lots of free mathematics textbooks
 http://mathbooks.110mb.com/mylist.php  Lots of free mathematics textbooks
 http://www.openbookproject.net/books/  Lots of opensource books
 http://opened.creativecommons.org/Main_Page  Open education, hosted by Creative Commons
 http://www.oercommons.org/
 http://ocwfinder.com/ Opencourseware finder
 http://www.oerrecommender.org/
 http://ocwconsortium.org/ The OpenCourseware consortium. This is an organization of Universities that have put a lot of very good materials online for free. Universities include MIT and UC Berkeley, plus lots more in the U.S. and around the world.
 http://oyc.yale.edu/ Open Yale Courses
 http://educationportal.com/article_directory/Free_Online_Courses_and_Education.html Listing of free online courses
 http:*freescience.netsons.org/ (see http:*www.freescience.info/Mathematics.php for the old version of the webpage)
 http://en.wikibooks.org/wiki/Subject:Mathematics
 http://www.textbookrevolution.org/index.php/Book:Lists/Subjects/Mathematics
 http://books.slashdot.org/books/04/03/04/028253.shtml–five free calculus books
 http://opencontent.org/  Website helping people learn about open educational resources.
 http://www.slideshare.net/rreo/overviewofopeneducationalresourcesoersfacultypresentation/1
 http://www.wikieducator.org/Main_Page
 http://cnx.org/
 http://cnx.org/content/col10522/latest/ – Statistics book
 http://academicearth.org/
 http://discovered.creativecommons.org/search/
 http://flexknowlogy.learningfield.org/2009/02/05/7oer/ A short analysis on the remixability of several resources.
 Community College Consortium for Open Educational Resources – a huge list of resources including many free textbooks
 http://www.techbooksforfree.com/
 Free K12 textbooks
 http:*www.archive.org/details/texts has a huge collection of books online, including many mathematics textbooks. For example, a search for “Calculus” yields 996 titles.
 Machine learning (preprint is available for download as of 22 Aug 2011.
 How to turn a sphere inside out: Part I, Part II
Math History
 MacTutor Archive  This is probably one of the best web references on math history.
 National Curve Bank
 http://jeff560.tripod.com/mathword.html  When and how mathematical terms were used long ago
Math Videos
 Mobius transformations
 The Geometry Center videos look pretty neat
 Listing of videos with significant math content
Programming books
 Enumeration and Backtracking  PreFascicles of The Art of Computer Programming, Volume 4A
 A ton of free books on programming
 Structure and Interpretation of Computer Programs
 Software Carpentry–lots of lectures on various computer science subjects.
 Why C++ is defective  an interesting article looking at C++
 You need to pick the right tool (language) for the job. This site compares different uses for different languages.
 I’ve got to say: Lisp is beautiful, technically and aesthetically. Macros are one of the beautiful things about Lisp.
Python
Here are some great resources for learning scientific python:
 A tutorial covering a lot of the scientific tools that you may be using
 The Python bootcamp at Berkeley in August 2012
 A collection of IPython notebooks highlighting a number of different areas.
Here are some general Python resources
 Python Module of the Week, a blog focusing on illustrating the python standard library through examples.
 Dive into Python. This is one of the best books I’ve found to learn Python, and is free. There are two versions, one for Python version 2.6 and another for Python version 3. Sage uses Python version 2.6 currently, but the version 3 book here has rewritten a lot of the text and may be a better book even for 2.6.
 Project Euler offers lots of python examples, viewable after you complete the task
 A Byte of Python
 Python for nonprogrammers
 Online Python Learning – a nice set of interactive tutorials
 Learn Python the Hard Way – a series of exercises guiding you through the language
 Idiomatic Python
 A highly recommended book is Mark Lutz’s Programming Python or Learning Python.
 How to think like a computer scientist, Python edition (Second edition)
 A Python book tutorial
 http://rexx.com/~dkuhlman/python_book_01.html
 http://inventwithpython.com/ Beginning Python programming, oriented towards making simple games (uses Pygame for some of the book).
 http://pythonhistory.blogspot.com/ A series of blog posts about the history of Python, straight from its creator.
 http://www.skylit.com/mathandpython.html A book with several chapters online I should take a look at sometime.
 ahh is an interestinglooking python package for doing opencl stuff.
 This page and this page provide useful resources for converting code between Matlab and Sage/Python/Numpy. There is also a Matlab to Python translator for matlab files.
 Norman Matloff also has a Python tutorial book.
 PyCharm looks like an interesting (commercial) Python IDE. It’s apparently free to opensource developers working on opensource projects.
 Mailing list message 1 and Mailing list message 2 also contain helpful resources (it’s easier to look at these messages in html).
 Python standard library
 Python Grimoire
 Software carpentry; python
Javascript
Git
 http://sixrevisions.com/resources/gittutorialsbeginners/ has a nice listing of good introductory git tutorials.
 I find both GitX and SourceTree to be very good graphical git clients. The Github clients for Windows or Mac look very interesting too.
Latex
 I am constantly referencing The Short Math Guide For Latex.
 http://www.macrotex.net/texbooks/  a nice collection of Tex and Latex resources.
 detexify will help you find latex symbol names based on just drawing their picture.
 Use Web Equation to convert handwriting to equations
 Online latex editors include:
 Latex Templates has a large number of very nice templates.
Other collections
 http://www.math.tau.ac.il/~nogaa/PDFS/null2.pdf
 http://oli.cmu.edu – Carnegie Mellon Open Courses
Computational Complexity
 Computational Complexity: A modern approach by Barak and Arora was recommended to me as one of the best textbooks on computational complexity out there. The website for the book has an early draft and other supplementary material.
 A compendium of NP problems.
Information Theory
Bioinformatics
This comment on HackerNews suggests that Rosalind is a good way to get into bioinformatics.
Random thoughts on licensing
 http://freedomdefined.org/Licenses/NC An essay arguing why the noncommercial restriction for Creative Commons licenses is bad.
 http://opencontent.org/blog/archives/347 The problem of incompatibility of CCbysa and GFDL
 http://chronicle.com/blogPost/DavidWileyTheParableof/7244 The crisis in publishing today. I think this article downplays the contributions publishers make (like editing, graphics, etc.) in some cases, but it also raises some very interesting issues.
 A collection of links about openaccess journals and the crisis in publication.
Random thoughts on teaching
 http://www.sensepublishers.com/catalog/files/9789087901554.pdf Learning through games
 Academic Commons focuses on liberal arts education and technology.
 Open source CS capstones focuses on giving a student realworld experience in their capstone with distributed development that makes a difference in the world.
 A student special interest group that has an emphasis in making textbooks affordable.
Random Quotes
Mathematician: noun, someone who disavows certainty when their uncertainty set is nonempty, even if that set has measure zero.
{{{ 99 instances of bugs in the code… 99 instances of bugs, …. code one out, mark it out (without running full tests), 106 instances of bugs in the code… 106 instances of bugs in the code… 106 instances of bugs, …. }}} (from here)
A tongueincheek history of computer languages.
Walking on water and developing software from a specification are easy if both are frozen.
Other Random stuff
 For those that read Russian, a Slashdot comment mentions “USSR science textbooks. Seriously, they are great (with some obvious exceptions :) ) and they are out of copyright. For example, Fichtenholz’s “Differential and Integral Calculus” is THE best textbook on calculus ever created. It’s so clear and written in so beautiful language that I had actually reread it just for fun. I don’t know if there are translations into English, alas. Landau and Lifshitz’s “Course of Theoretical Physics” is the one of the best reference books for the modern physics, and it’s available in English. It’s out of copyright but its translations might be copyrighted.”
 (ǀᴉɐɯə uo əɹnʇɐuɓᴉS) ¿uʍop əpᴉsdn ədʎʇ noʎ uɐɔ
Research resources
Here are a few good resources for analyzing numbers and sequences.
 Online Encyclopedia of Integer Sequences
 Combinatorial Object server
 The Stony Brook Algorithm Repository
 A list of lots of tools
 There are several good calculators for guessing symbolic expressions given a numeric value, like RIES, inverse symbolic calculator ([version 2; see also [http:*en.wikipedia.org/wiki/Inverse_Symbolic_CalculatorWikipedia).
Ipod
Here are some interestinglooking ipod apps that I might try someday.
 http://www.spacetime.us/iphone/
 http://itunes.apple.com/us/app/mycalculatorproplotgraphs/id299460923?mt=8
 http://www.iphonecalc.com/wp/
 http://www.openstackinc.com/iCalc3D/
 http://www.mpkju.fr/~touchplot/
 http://pocketcas.com/iphone/
 http://itunes.apple.com/app/imatrixlab/id389947262?mt=8
 http://itunes.apple.com/us/app/id333254574?mt=8
 http://download.cnet.com/QuickMathCASCalculator/300020415_475168765.html
Visualization
 Circos for drawing circular graphs
 Hive plots for drawing complex networks
 Colorbrewer for picking nice color schemes