Name: Julia Scientific Programming
Brand: University of Cape Town
Availability: OnlineOnly
Rating: 4.4 (148 reviews)

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Learner Reviews & Feedback for Julia Scientific Programming by University of Cape Town

4.4

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425 ratings

About the Course

This course introduces you to Julia as a first programming language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics, and many more. You can start programming with Julia within Coursera and it can also be used from the command line, program files, or a Jupyter notebook. Julia is designed to address the requirements of high-performance numerical and scientific computing while being effective for general-purpose programming. 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. Join us to discover new computing possibilities. Let's get started on learning Julia. By the end of the course you will be able to: - Programme using the Julia language by practicing through assignments - Write your own simple Julia programs from scratch - Understand the advantages and capacities of Julia as a computing language - Work in Jupyter notebooks using the Julia language - Use various Julia packages such as Plots, DataFrames and Stats 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....

Top reviews

Dec 14, 2020

Really great pacing, practical examples and quizzes without being overwhelming. Great for both beginners in programming and statistics, and for those with some experience. Awesome lesson, thank you!

Jan 26, 2018

Excellent, engaging teaching that makes me want to use Julia language (and Jupyter notebooks) all the time. As the language evolves, you need to adjust to newer Julia versions - just a part of fun.