MATH 3510
Fall semester 2018
  • Syllabus
  • Calendar
    • Homework guidelines
    • HW01
    • HW02
    • HW03
    • HW04
    • HW05
    • HW06
    • HW07
    • HW08
    • HW09
    • HW10
    • Homework grades
  • Downloads
    • Midterm 1
    • Midterm 2
    • Final exam
    • Exam grades

Julia Programming

Julia is a high-level, high-performance programming language for numerical computing


Why we created Julia

by Jeff Bezanson, Stefan Karpinski, Viral Shah, Alan Edelman


Julia cheatsheet


JuliaBox

"Run Julia in your browser. No setup."


JuliaPro Personal

"JuliaPro Personal is the fast, free way to install Julia on a Windows or Mac desktop or laptop and begin using it right now. It includes Julia compiler, profiler, Julia integrated development environment, 100+ curated packages, data visualisation and plotting."


Julia tutorials

Toggle the list »

  • wikibooks.org, Introducing Julia (also pdf version)

  • Bogumil Kaminski, The Julia Express

  • Samuel Colvin, Julia by Example

  • Jane Herriman, Intro to Julia, Aug 2018


Julia official documentation

  • Julia manual


Julia unofficial anime character

Toggle the image »

Julia-tan

Hello, I am Julia-tan #JuliaLang (unofficial) anime character!

You can use my picture in Non-Commercial use by following CC BY-NC-SA license Creative Commons License.

Julia-tan is partly licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License .

If you would like to use my picture in Commercial use (such as using a picture in cover-page of the books), please consult to Takeshi KIMURA (twitter: @kimrin).

Saved from http://www.mechajyo.org/wp/?page_id=6 on Oct 10, 2015


Lorem Ipsum

Etiam porta sem malesuada magna mollis euismod rendered as bold text. Cras mattis consectetur purus sit amet fermentum le syndrome du clandestin. A clear, authoritative judicial holding on the meaning of a particular

\[ \begin{align} \nabla \times \vec{E} & = -\frac{\partial\vec{B}}{\partial t} \\ \nabla \cdot \vec{D} & = \rho_f \\ \nabla \times \vec{H} & = \vec{J}_f + \frac{\partial\vec{D}}{\partial t}\\ \nabla \cdot \vec{B} & = 0 \end{align} \]

provision should not be cast in doubt and subjected to challenge whenever a related though not utterly inconsistent provision is adopted in the same statute or even in an affiliated statute, the two authors wrote

Resources

  1. Numerical computing
  2. Matlab
  3. Git and Gitlab
  4. Latex
  5. Julia

Course Archives

  1. Numerical Analysis I, Fall 2017
  2. Numerical Analysis II, Spring 2018

Links

  1. UConn AnyWare (aka UConn SkyBox)
  2. UConn GitLab
  3. UConn VPN
  4. UConn large file sharing
  5. UConn software
  6. Babbidge Library (free) laptop rentals

General

  1. Academic Calendar, Fall 2018
  2. UConn Math Department
  3. Dean of students
  4. 2018 Calendar of Religious Holidays
  5. Educational Rights and Privacy
  6. Office of the Provost's policies links

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