Loops are one of the core concepts that underpin Julia. In this chapter, you'll learn about for loops and while loops, and how to use them to iterate over data structures that you are already familiar with. You will also cover ranges, a useful tool for generating sequences of data.

For loops

For loops question

Loop over a vector

Loops and enumerate

Looping over nested structures

While loops

Writing a while loop

While loops for iteration

Ranges

Ranges - iteration

Defining ranges

Looping over ranges

Splat unpacking

Loops and Ranges

This chapter focuses on expanding your knowledge of the data structures available in Julia. Learn how to use tuples, dictionaries, multi-dimensional arrays, and structures to store and traverse data quickly and efficiently.

Tuples

When should you use a tuple?

Create, index, and slice a tuple

Create a NamedTuple for a person

Dictionaries

Create untyped dict, iterate

Create typed dict, iterate

Modify keys/values in dict, use get()

Multi-dimensional arrays

Create 1D and 2D arrays

Index and slice a 2D array

Array merging

Structs

Define a structure

Mutable and typed structs

Data Structures

In this chapter, you’ll extend your understanding of functions, exploring positional, keyword, and default function arguments. You will also cover code execution timing, getting a strong understanding of how to measure the time your code takes to run. This chapter will round off with a capstone on writing your own functions to solve real-world problems.

Execution time and measurement

Built-in time macro

Timing a function

Positional and Default Arguments, Type Declarations

Positional arguments recap

Default arguments

Type declarations

Keyword Arguments

Keyword arguments

Variable number of arguments

Writing Your Own Function

Writing your own functions

Writing your own functions - structs

Advanced Functions in Julia

This final chapter will introduce anonymous functions and will recap one of the powerful features of Julia; multiple dispatch. You will learn how to use functions from Python and R packages within Julia and discover how to clean and modify data within dataframes.

Anonymous Functions and Multiple Dispatch

Multiple dispatch

Anonymous functions

Filtering DataFrames

Importing Functions from Python and R

Importing Python and R

Python functions in Julia

R functions in Julia

Cleaning Data

Renaming columns

Missing data

Advanced missing data

Congratulations!

Dataframe Operations and Python/R Packages in Julia

StudentsPerformance

Video Game Sales Data

Airline Fleets Data

Building on the core concepts of Introduction to Julia, this course will get you closer to becoming a Julia master. You will learn about different loops and advanced data structures, including dictionaries, tuples, or structs. You will learn how to define your own Julia functions for code re-usability and how to time your code to be as efficient as possible.
At the end of this course, working with more complex DataFrame operations to inspect and clean a dataset will be a breeze. You'll also be able to leverage your Python and R knowledge in Julia through the PyCall and RCall packages.

Julia is a relatively new programming language built with speed and performance in mind, and it can do this while maintaining a similar syntax to other programming languages such as Python or Ruby. This course follows the Introduction to Julia course, introducing topics such as looping and timing so that you can take advantage of Julia's speed and performance.<br><br><h2>Build on Your Julia Foundations</h2>Building on the core concepts of the introductory course, you will be one step closer to mastering Julia. You will first learn about different loops, one of the most common tools in Julia, and all programming languages.<br><br><h2>Cover Advanced Julia Data Structures</h2>You'll also cover advanced data structures, including dictionaries, tuples, and structs. In addition, you will learn how to define your own Julia functions for code re-usability and how to time your code to be as efficient as possible.<br><br>At the end of this course, you'll be able to work with more complex DataFrame operations to inspect and clean a global video game sales dataset broken down by region. You will also be able to leverage your Python and R knowledge in Julia as we introduce the PyCall and RCall packages, allowing you to use Python and R functions in Julia.<br><br>By the time you finish, you'll have built a strong Julia programming foundation which you can continue to develop through further courses.

Introduction to Julia

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more. 

Intermediate Julia | Loops, Data Structures, Timing & More

Intermediate Julia

Julia-Grundlagen

Quantitative Developer

Ranges - UnitRange

Ranges - StepRange

Ranges - StepRange definition

Ranges - for iteration

Ranges - access

Ranges - while iteration

Ranges - splat unpacking

Let's practice!

https://s3.amazonaws.com/assets.datacamp.com/production/course_29880/subtitles/course_29880_b66fcef42a182597931bcf20b81bc53e.vtt

Loops and Ranges - Ranges

Ranges

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