Julia references

Books

  1. Jesse Perla, Thomas J. Sargent, John Stachurski: Quantitative Economics with Julia. 2020
  2. Paul D. McNicholas, Peter A. Tait: Data Science with Julia. 2019
  3. Allen Downey, Ben Lauwens: Think Julia: How to Think Like a Computer Scientist. 2019
  4. Antonello Lobianco: Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming. 2019
  5. Ivo Balbaert, Adrian Salceanu: Julia 1.0 Programming Complete Reference Guide: Discover Julia, a high-performance language for technical computing. 2019
  6. Avik Sengupta, Alan Edelman: Julia high performance: optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond. 2 ed, 2019
  7. Adrian Salceanu: Julia Programming Projects: Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web. 2018
  8. Folkmar Bornemann, Walter Simson: Numerical Linear Algebra: A Concise Introduction with MATLAB and Julia. 2018
  9. Dmitrijs Cudihins: Hands-On Computer Vision with Julia. 2018
  10. Petre Caraiani: Introduction to Quantitative Macroeconomics with Julia: State-Of-The-Art Dynamic Stochastic General Equilibrium Models. 2018
  11. Przemysław Szufel, Bogumił Kamiński: Julia 1.0 Programming Cookbook. 2018
  12. Sandeep Nagar: Beginning Julia Programming for Engineers and Scientists. 2017
  13. Anshul Joshi, Rahul Lakhanpal: Learning Julia. 2017
  14. Малкольм Шеррингтон: Осваиваем язык Julia. 2017
  15. Ivo Balbaert, Avik Sengupta, Malcolm Sherrington: Julia: High Performance Programming. 2016
  16. Gerson J. Ferreira: Introduction to Computational Physics with examples in Julia programming language. 2016
  17. Ivo Balbaert: Getting started with Julia Programming Language. 2015
  18. Malcolm Sherrington: Mastering Julia: Develop your analytical and programming skills further in Julia to solve complex data processing problems. 2015

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notes/bib/julia.txt · Last modified: 2021/03/12 05:50 by vlado
 
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