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https://github.com/alphaolomi/julia-basics

Machine Learning with Julia
https://github.com/alphaolomi/julia-basics

julia julia-language

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Machine Learning with Julia

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# Julia Basics

## Table of Contents

- [01 - Introduction](#01_introduction)
- [02 - Installation](#02_installation)
- [03 - Data Types](#03_data-types)
- [04 - Variables](#04_variables)
- [05 - Operators](#05_operators)
- [06 - Control Structures](#06_control-structures)
- [07 - Functions](#07_functions)
- [08 - Modules](#08_modules)
- [09 - File I/O](#09_file-io)
- [10 - Plotting](#10_plotting)
- [11 - Performance](#11_performance)
- [12 - Resources](#12_resources)
- [13 - Contributing](#13_contributing)

## Introduction

Julia is a high-level, high-performance, dynamic programming language. While it is a general purpose language and can be used to write any application, many of its features are well-suited for high-performance numerical analysis and computational science.

This project is a collection of tutorials and examples for the Julia programming language. It is intended to be a resource for learning and teaching Julia. The project is open-source and contributions are welcome.

## Installation

To install Julia, visit the [official website](https://julialang.org/downloads/) and download the appropriate installer for your operating system. Follow the installation instructions to complete the installation.

Quick Start:

### Windows

```bash
choco install julia

# or
winget install julia -s msstore
```

### macOS

```bash
brew install julia
```

### Linux

```bash
sudo apt install julia
```