PHYS 2400
Spring semester 2024
  • Syllabus
  • Calendar
    • HW01
    • HW02
    • HW03
    • HW04
    • HW05
    • HW06
    • HW07
    • HW08
    • HW09
    • HW10
    • Homework guidelines
    • Homework grades
  • Downloads
    • Midterm 1
    • Midterm 2
    • Midterm 3
    • Exam grades
  • HuskyCT

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 tutorials

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  • Czech Techincal University in Prague,
    Scientific Programming in Julia , Fall 2022; Julia for Optimization and Learning , Fall 2021

  • Tim Holy, Washington University in St. Louis Advanced Scientific Computing , Fall 2021

  • Carsten Bauer, Julia Workshop(s) for Physicists , Summer 2021

  • Jesse Perla, Thomas J. Sargent, and John Stachurski, Quantitative economics with Julia , December 2020

    The topics of the lecture series include:

    1. Basics of coding skills and software engineering
    2. Algorithms and numerical methods
    3. Related mathematical and statistical concepts
    The intended audience is undergraduate students, graduate students and researchers in any field, not restricted to economics

  • Aurelio Amerio, From zero to Julia! , Spring 2020

    A small series of introductory lessons to the Julia language. The aim of this course is to give you the basics to be able to start coding in Julia on your own.

  • wikibooks.org, Introducing Julia

  • Julia for Numerical Computation in MIT Courses

  • Julia: Solving Real-World Problems with Computation , MIT, Fall 2022

    Notebook collection

  • Allen Downey, Ben Lauwens, Think Julia , 2018

  • Antonello Lobianco, Julia language: a concise tutorial , 2018

  • MIT 6.S083/18.S191/22.S092, Introduction to computational thinking with Julia , Spring 2021

  • Jakob Nybo Nissen, What scientists must know about hardware to write fast code , April 2020

  • Jane Herriman, Intro to Julia, Nov 2018



Choosing a numerical programming language for economic research: Julia, MATLAB, Python or R

by J. Danielsson and Y. Lin, London School of Economics

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 provision

\[ \begin{align*} \Gamma (1 \! - \! z) \, \Gamma (z) & ={\pi \over \sin(\pi z)} \\ \Gamma (z) \Gamma \left(z \! + \! \tfrac{1}{2} \right) & = 2^{1-2z} {\sqrt {\pi }}\;\Gamma (2z) \\ \oint_{C} f(z) \, {\mathrm d}z & = 2 \pi i \sum_k \operatorname{Res}(f, a_k) \end{align*} \]

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. Course textbook
  2. Classical mechanics
  3. Dimensional analysis
  4. Mathematical methods
  5. Scientific computing
  6. Latex
  7. Julia

Course Archives

  1. Math Methods, Spring 2023
  2. Computational Physics, Fall 2023
  3. Mechanics I, Fall 2022
  4. Mechanics II, Spring 2020

Links

  1. UConn AnyWare
  2. Physics GitLab
  3. UConn software

General

  1. Academic Calendar
  2. UConn Physics Department
  3. Dean of students
  4. 2024 Calendar of Religious Holidays
  5. Educational Rights and Privacy
  6. Office of the Provost's policies links

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