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Opiniones y comentarios de aprendices correspondientes a Julia Scientific Programming por parte de Universidad de Ciudad del Cabo

4.5
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359 calificaciones
120 reseña

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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 is designed to address the requirements of high-performance numerical and scientific computing while also 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 practising 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....

Principales reseñas

GD
14 de dic. de 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
26 de ene. de 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.

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76 - 100 de 115 revisiones para Julia Scientific Programming

por Antonio P

7 de may. de 2018

Great course!

por Bradley T D

15 de dic. de 2016

Great course!

por Masa

28 de dic. de 2019

Thank you!

por Enrique R P B L

24 de feb. de 2020

Very Good

por Okojunu A

22 de mar. de 2020

Nice...

por Vaibhav B

6 de ago. de 2020

Best

por Hyungjune L

29 de ene. de 2020

good

por Bharath S

16 de jun. de 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!

por Guillaume F

20 de ene. de 2021

Nice introduction to Julia based on some examples and exercices. Julia is a fast changing-language and some of the course would require little updating to match the latest releases. Also since juliabox.com does not exist anymore and no other alternative is indicated, it currently requires the ability to run Jupyter notebooks for the assignements. Last note, maybe one of the teacher shouldn't read the slides that much :)

por Oswaldo d J L

20 de sep. de 2020

Julia is now in 1.5, there is barely any difference with what is done in the course. But it might be good to update the course to engage better with the language. Besides that, I would suggest more visual/animated elements to explain concepts instead of just Jupyter Notebook text (which is not bad at all, but a more dynamic lecture could make it even more interesting).

por sachin n

11 de may. de 2020

The course is great for beginners to get in touch with the application of a new programming language.

For someone with at least intermediate knowledge on the concepts, it is quite easy to crack the assignments. But still, this course gives you an insight into how easy it has made coding and visualization for people in the field of data science!

por Ashwin B

27 de abr. de 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

por Mingxin H

2 de feb. de 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.

por Rickard B

24 de jun. de 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.

por Niclas F S

15 de ago. de 2019

Very good introductory course! However, due to recent developments in the Julia language, some functions used in the Honors Content in Week 4 are deprecated and should be updated.

por Saikat M

13 de mar. de 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.

por Raúl

21 de nov. de 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.

por Abdullah D

28 de feb. de 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.

por YinpuLi

20 de ene. de 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+.

por Vagner Z C P

12 de ene. de 2021

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

por Aniket P

18 de sep. de 2020

It was a good course. Those who are new to Julia will like it. I would want Coursera to update this course.

por Athul

24 de jul. de 2020

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

por João V d P

5 de mar. de 2019

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

por Draken K K

28 de jun. de 2019

It was a fine course with good lessons.

por Jonathan K

21 de may. de 2018

Good introduction to basic julia.