Skip to content

jbytecode/julia-presentation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

27 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Scientific Computing and (Big) Data Analysis with Julia

  • The Julia Presentation - The v1.0.0, first presented in 2023.12.01 at Istanbul University, Faculty of Economics by Econometrics Students' Club!

  • The release v1.1.0 is planned to be presented on Friday, February 23rd, in Akademik Bilişim Conference at Istanbul University

Table of contents

  • The Julia web site
  • LLVM backend
  • Hello, world!
  • The REPL
  • The VSCode extension
  • Data Types and Variables
  • Vectors and Matrices
  • Packages
  • Importing Data
  • Branching with if's
  • Pattern matching
  • Sum Types
  • Serial Loops
  • Multi-threading
  • Distributed computing
  • Functional extensions
  • Custom data types
  • Multiple Dispatch
  • Linear Regression
  • MLJ and Symbolic Regression
  • KMedoids Clustering
  • Large Data Problem and managing the memory
  • On demand distance matrices
  • Memory mapped IO
  • Probability Distributions
  • Hypothesis Tests
  • Numerical Integration
  • Optimizations
  • Mathematical Programming and JuMP
  • Neural Networks and Flux.jl
  • SQL integration
  • Calling R and Python, a.k.a., talking to strangers!
  • Calling C functions and callbacks