The course is delivered through video lectures, on-screen demonstrations, quizzes and practical peer-reviewed projects designed to give you an opportunity to work with the packages. Use various Julia packages such as Plots, DataFrames and Stats Work in Jupyter notebooks using the Julia language Understand the advantages and capacities of Julia as a computing language Write your own simple Julia programs from scratch Programme using the Julia language by practising through assignments Let's get started on learning Julia.Д«y the end of the course you will be able to: Join us to discover new computing possibilities. You will be able to access all the available processors and memory, scrape data from anywhere on the web, and have it always accessible through any device you care to use as long as it has a browser. Julia is designed to address the requirements of high-performance numerical and scientific computing while also being effective for general-purpose programming. It can also be used from the command line, program files or a new type of interface known as a Jupyter notebook (which is freely available as a service from ). As open source software, you will always have it available throughout your working life.

This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing.

This four-module course introduces users to Julia as a first language.