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.

Getting started with Julia

Using the console

Julia as a calculator

Printing

Variables

Valid variable names

Assigning variables

Calculating with variables

Basic data types

Recognizing data types

Finding the data type

Converting types

Julia basics

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.

Introduction to strings

Options

Indexing strings

String interpolation

Slicing strings

Introduction to arrays

Creating arrays

Indexing arrays

Slicing arrays

Working with arrays

Modifying arrays

Fibonacci sequence

Appending arrays

Operating on arrays

Finding the array length

Array operating fluency

Operating on body temperatures

 Data structures

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.

Conditionals

Comparisons

Check input data type

If-else practice

Conditioning on body temperature

Basic Functions

Writing a function for strings

Writing a function with multiple arguments

Absolute value

Mutating functions and multiple dispatch

Everyone wins

Multiple dispatch

Using packages

Importing packages

Using the Statistics package

Functions and packages

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.

DataFrames

Loading and examining data

Creating a DataFrame

DataFrame properties

Sorting and slicing data

Indexing DataFrames

Slicing DataFrames

Sorting patients

Descriptive statistics

Literary analysis

Describing patient data

Standardize heart rate

Filtering

Constructing filters

Filtered body temp

Classic books

Final thoughts

Books

Patients

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.

<h2>Get Started with Julia Programming</h2>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. <br><br>You’ll start by covering the very basics of Julia, so you can follow along if you have never programmed before. However, by the end of the course, you'll be analyzing DataFrames of patient data and book ratings. If you already know another programming language, we'll help you transfer this knowledge to Julia.<br><br> <h2>Learn the Basics of Julia Programming</h2>Designed to encompass the speed of C, the general programming ability of Python, and the statistical prowess of R, Julia is simple to learn and very powerful.<br><br>As you work through this course, you'll learn about the special features of the Julia programming language, including how Julia handles data types. <br><br> <h2>Get a Thorough Introduction to Julia</h2>You'll learn how to store and process data in arrays, write reusable code in functions, and use other popular packages to borrow other Julia developers' code. You'll learn about Julia's headline feature of multiple dispatch and make use of this feature yourself.<br><br>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. 


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

Introduction to Julia

Julia-Grundlagen

Array operating fluency

Interaktive praktische Übung