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DataCamp

Introduction to Julia

via DataCamp

Overview

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

Julia is a new and exciting programming language designed from its foundations to be the ideal language for scientific computing, machine learning, and data mining. This course will give you a running start in your journey with Julia.

We'll start from the very basics of Julia, so you can follow along if you have never programmed before. By the end of this course, you'll be familiar with coding in Julia, understanding the basics, including data types and structures, the functions and packages, and how to use DataFrames to work with tabular data.

Syllabus

Julia basics
-Take your first steps towards coding with Julia and learn what makes this language unique. Learn about variables and data types, and perform simple calculations using Julia scripts and the interactive console.

Data structures
-Learn how to process text data using strings and how to use arrays to process large amounts of data quickly and efficiently. Julia's inbuilt arrays are both powerful and easy to use.

Functions and packages
-Learn to write code that can make its own decisions using conditional expressions and write functions so you can reuse your code. Plus, learn Julia's powerful function features like broadcasting and multiple dispatch.

DataFrames
-The DataFrames package is the definitive way to work with tabular data in Julia. You'll use this package to load CSV files and analyze and process this data to get the insights you need.

Taught by

James Fulton

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