Julia is a programming language designed for high performance that's used for Data Science, scientific domains, data visualization, parallel computing, and more. This course will teach you what you need to know to get started programming with Julia!
Every language has pros and cons... but what if I tell you that there is a language that was created with the experience of many other programming languages, with performance in mind, and that is able to provide all kinds of features available in general programming languages all the way to languages designed for scientific computing and Data Science?
Well, that's what Julia is all about.
In this course, Julia: Getting Started, you'll learn foundational knowledge required to be a Julia programmer.
First, you'll learn how to set up your Julia development environment.
Next, you'll discover how to define variables and use data types as well as control program flow.
That will be followed by learning how to create functions, methods, and modules, as well as how to work with files.
Finally, you'll see how to find packages that will help you build any application you can dream of.
When you're finished with this course, you'll have the skills and knowledge required to call yourself a Julia coder.
Software required: Julia.
What are some benefits of Julia programming language?
Some benefits of the Julia programming language are: Julia is fast, contains a math-friendly syntax, automatic memory management, and offers superior parallelism.
What are the basics of programming?
Some basics principles to programming are: data types, variables, keywords, loops, numbers, characters, and arrays, inputs, outputs, conditions, and ins and outs to name a few.
What prerequisites are needed?
Prerequisites for this course are: an understanding of programming in general, preferred knowledge of Python, R, or Scala, and as a bonues, a mathematical background.
What is parallel computing?
Parallel computing is a type of computation where many calculations or the execution of processes are carried out simultaneously.
Xavier is very passionate about teaching, helping others understand search and Big Data. He is also an entrepreneur, project manager, technical author, trainer, and holds a few certifications with Cloudera, Microsoft, and the Scrum Alliance, along with being a Microsoft MVP.
Course Overview Hi everyone. My name is Xavier Morera, and welcome to my course, Julia: Getting Started. I am very passionate about working with data and teaching about my real‑world experience, something that I do on a daily basis. Julia is a programming language designed for high performance that can be used for data science, scientific domains, data visualization, parallel computing, and more. This course will teach you what you need to know to get started programming with Julia. Some of the major topics that we will cover include how to set up your Julia development environment, how to define variables and use data types, as well as control program flow, how to create functions, methods, modules, and work with files. Finally, I'll show you how to find packages that will help you build any application that you can dream of. By the end of this course, you'll know how to code in Julia. Before beginning, you should be familiar with programming in general, hopefully with a language like Python, R or Scala. Extra points if you have a mathematical background. I hope you'll join me on this journey to learn Julia with the Julia: Getting Started course, at Pluralsight.