What should I read in order to / Что мне почитать, чтобы:
1. Understand basics of Julia / Понять основы языка Julia ?
1.1 ThinkJulia:
https://benlauwens.github.io/ThinkJulia.jl/latest/book.html1.2 QuantEcon parts:
https://julia.quantecon.org/1.3 Zero2Hero Julia:
https://www.youtube.com/watch?v=Fi7Pf2NveH01.4 Julia wiki:
https://en.wikibooks.org/wiki/Introducing_Julia1.5 From zero to Julia:
https://techytok.com/from-zero-to-julia/1.6 Jane Herriman intro to Julia:
https://www.youtube.com/watch?v=8h8rQyEpiZA1.7 Introduction to Computational Thinking with Julia, with applications to
modelling the COVID-19 pandemic:
https://github.com/mitmath/6S0832. Understand Julia more deeply / Лучше понять некоторые тонкие аспекты Julia?
2.1 Chris Rachauckas tutorial:
https://ucidatascienceinitiative.github.io/IntroToJulia/2.2 Tom Kwong. Hands-on Design Patterns and Best Practices with Julia.
2.3 Malcolm Sherrington. Mastering Julia.
2.4 Julia workshop 2019 (Finland):
https://github.com/crstnbr/JuliaOulu202.5 D.P.Sanders workshop:
https://github.com/dpsanders/hands_on_julia2.6 Metaprogramming workshop:
https://youtu.be/SeqAQHKLNj43. Learn some applications to specific branches of mathematics / Узнать больше о
приложениях к некоторым областям математики?
3.1 Linear algebra / Линейная алгебра:
3.1.1 Introduction to applied linear algebra: vectors, matrices and least
squares
http://vmls-book.stanford.edu/3.1.2 Folkmar Bornemann: Numerical Linear Algebra. A Concise Introduction with MATLAB and Julia
3.1.3 MODERN APPLICATIONS OF NUMERICAL LINEAR ALGEBRA METHODS:
https://github.com/ivanslapnicar/GIAN-Applied-NLA-Course3.2 Differential equations, dynamical systems / Дифуры и динамич. системы:
3.2.1 DynamicalSystems.jl tutorial:
https://www.youtube.com/watch?v=13hqE_1a1583.2.2 DifferentialEquations tutorial:
https://www.youtube.com/watch?v=13hqE_1a1583.2.2 Partial Differential Equations tutorial:
https://www.youtube.com/watch?v=13hqE_1a1583.3 Optimization / Оптимизация:
3.3.1 Kochenderfer, Wheeler : Algorithms for Optimization
3.3.2 Kwong: Julia Programming for Operations Research, 2nd Edition
3.4 Data science / Наука о данных:
3.4.1 Data science workshop:
https://youtu.be/SLE0vz85Rqo3.4.2 Queryverse workshop:
https://www.youtube.com/watch?v=OFPNph-WxLM3.5 Statistics, bayesian, etc / Статистика, байесовский подход и др.:
3.5.1 Statistics with julia:
https://github.com/h-Klok/StatsWithJuliaBook3.5.2 Turing language tutorials:
https://turing.ml/dev/tutorials/3.5.3 Statistical rethinking in Julia:
https://github.com/StatisticalRethinkingJulia/StatisticalRethinking.jl3.6 Calculus, symbolic computations, ... / Анализ, символьные вычисления:
3.6.1 Calculus with julia :
http://calculuswithjulia.github.io/4. Ecosystem, packages, etc / Экосистема, пакеты и иное:
4.1 How to write a package (Rackauckas)
https://youtu.be/QVmU29rCjaA4.2 How to install
https://youtu.be/oyx8M1yoboY