This four-module course introduces users to Julia as a first 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. As open source software, you will always have it available throughout your working life. 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 JuliaBox.com).
Julia Scientific Programming
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来自JULIA SCIENTIFIC PROGRAMMING的热门评论
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.
The course started out well wit goof balance between lectures and applications during the first three weeks. Towards the end it felt rushed with too much content crammed into the last week.
Amazing course! I learned a lot during this course. The assignments made me improve my coding skills and the questions were challenging enough. The instructors are engaging and innovative!
It was very exciting. I widen further, my computing horizons\n\nHope, that the university will launch in the near future, a more advanced course of "Julia Scientific Programming"
A clear and well presented course.\n\nSuitable for newcomers and relatively new users of Julia. The course notes (Jupyter notebooks) are a useful reference after the course.
Good introductory course - but assignments can be made more interesting with actual problems in scientific areas or basic algorithms instead of command knowledge testing.
The course was excellent. Thank you for all the work that has gone into this. I recommend it for anyone who wishes to start using Julia or is simply curious about Julia.
Very good. So interesting and informative. Teaches a lot about Julia programming language and even helps out with describing new models and hand on experience.
Good and enthusiastic teachers. I found the difficulty a bit too easy but it was a good introductory course and I was new to Julia, so it served its purpose.
Good course with good content. I didn't like so much the grading with peer review, as it delayed my completion of the course. Nevertheless, a good course.
Good Introductory Julia Scientific Programming. Needs to be updated to JL 1.2.0.\n\nWaiting for an Advanced/Professional Julia Programming unit !!! :)
It is very simple to get hands on with examples and practice quizzes. However, it will be so much better if updated with Julia v. 1.0+.
Amazing Explanation, in-Depth and concise, Well taught course, Loved the Julia Programming and it's inbuilt functions.
It teaches the basics of programming in Julia and it is a good initation for getting familiar with Julia.
Julia is a great language to learn. It is fast! Julia is my future core language.
AMAZING INTRODUCTORY COURSE, COVERS MOST OF THE BASICS OF SCIENTIFIC PROGRAMMING.
This was a great course for overcoming the inertia of learning a new language.
Very well designed and organized. Had a lot of fun learning with this course!
Good as an introductory course. A bit too easy and less systematic.
Wonderful course to know the basics of Julia progamming
The University of Cape Town is the oldest university in South Africa and is one of the leading research universities on the African continent. UCT has over 25 000 students, of whom 30% are postgraduate students. We offer degrees in six faculties: Commerce, Engineering & the Built Environment, Health Sciences, Humanities, Law, and Science. We pride ourself on our diverse student body, which reflects the many cultures and backgrounds of the region. We welcome international students and are currently home to thousands of international students from over 100 countries. UCT has a tradition of academic excellence that is respected world-wide and is privileged to have more than 30 A-rated researchers on our staff, all of whom are recognised as world leaders in their field. Our aim is to ensure that our research contributes to the public good through sharing knowledge for the benefit of society. Past students include five Nobel Laureates – Max Theiler, Alan Cormack, Sir Aaron Klug, Ralph Bunche and, most recently, J M Coetzee.