https://github.com/jbytecode/julia-presentation

Scientific Computing and (Big) Data Analysis with Julia
https://github.com/jbytecode/julia-presentation

Last synced: 22 days ago
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Scientific Computing and (Big) Data Analysis with Julia

• Host: GitHub
• URL: https://github.com/jbytecode/julia-presentation
• Owner: jbytecode
• License: mit
• Created: 2023-11-20T16:02:18.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-26T19:02:26.000Z (10 months ago)
• Last Synced: 2024-10-15T16:56:54.248Z (2 months ago)
• Language: TeX
• Homepage:
• Size: 5.08 MB
• Stars: 12
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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