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

4.4
stars
428 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

GD

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!

SP

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.

Filter by:

101 - 125 of 146 Reviews for Julia Scientific Programming

By Brad D

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Dec 15, 2016

Great course!

By Luis E Q P

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Nov 10, 2024

Buen curso

By Masa

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Dec 28, 2019

Thank you!

By Enrique B

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Feb 24, 2020

Very Good

By Okojunu A

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Mar 22, 2020

Nice...

By Vaibhav B

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Aug 6, 2020

Best

By Hyungjune L

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Jan 29, 2020

good

By Bharath S

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Jun 16, 2020

Overall the course is a wonderful introduction to the wonderful language of Julia. The first three weeks are a gentle introduction to the methodologies of scientific, and general, computing in Julia. However, the final week's course modules are a bit on the higher side of the learning curve, and feel like a jump in the content. Maybe this Is because it was meant to be part of an honors set. Nonetheless a segue into that would certainly make the overall experience a perfectly tied up introduction! Thanks to both Dr. Klopper and Dr. Laurie for a wonderfully lucid and pleasantly personal discourse!

By Ioannis M

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Mar 23, 2021

The course provides very useful knowledge for a begginer. However, I would like to face a little bit more exigeant assesments and explore other functionalities of Julia as well. For instance, Julia is very reputed for JuliaDynamics and some AI libraries which could easily be applied on a certain DataFrame.

By Ashwin B

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Apr 27, 2020

course content was amazing but i expected more programming exercises than the quizzes.

It would be great if you could add more programming exercises. maybe an example is here https://exercism.io/tracks/julia

By Michalis P

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May 27, 2022

Some of the things outlined in the course were a bit outdated compared to the version of Julia I used (1.1.7), but that's normal since Julia is still an up and coming language. Otherwise, great course :D

By Kalyan K

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Mar 28, 2021

Nicely designed course for the newcomers as well as experienced people. Assignments at the end of each week are designed to make the concept very clear. Thanks to both the professors and Coursera ......

By Mingxin H

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Feb 2, 2017

This course is more like a lesson for data science, most of them are organized for plotting curve and making diagrams. This is good. But I was expected a more detailed lesson toward Julia itself.

By Rickard B

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Jun 24, 2017

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.

By Singhi K

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Mar 13, 2017

Good introductory course - but assignments can be made more interesting with actual problems in scientific areas or basic algorithms instead of command knowledge testing.

By Raúl

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Nov 21, 2016

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.

By Artsiom S

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May 20, 2021

Overall I learned a lot, but the pacing was strange and some of the things in the quizzes were not taught well or were taught in the chapter after the quiz.

By A. D

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Feb 28, 2018

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.

By YinpuLi

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Jan 20, 2019

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+.

By Vagner Z C P

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Jan 12, 2021

The course is good. It gives you some hands-on experience with Julia. However, I think the revised tasks could be more sophisticated.

By Cameline N

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Oct 12, 2021

Awesome course, learnt Julia basics. Content needs upgrading though to reflect current Julia versions and their commands

By Allyson D d L

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May 9, 2022

The course is cool but the content could be better organized. The peer-review assignment is so hard to get reviews.

By Athul

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Jul 24, 2020

The course is good one. But need to be updated according to the changes in Julia versions.

By João V d P

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Mar 5, 2019

Curso muito bom, no entanto, falta atualização para Julia 1.0

By Kartikay K

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Jun 28, 2019

It was a fine course with good lessons.