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Вернуться к Julia Scientific Programming

Отзывы учащихся о курсе Julia Scientific Programming от партнера Кейптаунский университет

4.5
звезд
Оценки: 357
Рецензии: 119

О курсе

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....

Лучшие рецензии

GD
14 дек. 2020 г.

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 янв. 2018 г.

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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101–114 из 114 отзывов о курсе Julia Scientific Programming

автор: Pratyush S

8 мая 2020 г.

The course is hands on and provides a lot of information about Julia language which is essential and hard to discover.

However the course needs to update the content to the current version of Julia, including the new functions, functionalities and software support available. Too many typos are also present in the course that can be rectified as well.

Overall the course is good and recommended if one wants to discover Julia or for the fun of learning!

автор: Ehsan M

9 апр. 2019 г.

The course wasn't well prepared. There were two teacher with completely different pace of teaching. First one slow and the second one very fast. The content provided for weeks weren't balanced. the 4th week took 3 times more time compared to each of the first three weeks. The transition of the content to the new Julia version in the middle of taking the course made a lot of trouble. There were a lot of inconsistencies.

автор: Martin H

12 авг. 2020 г.

The course is good to get an introduction to Julia. Unfortunately a lot of stuff should be updated and improved as Julia develops the course should be kept up to date. On the flipside the course forces you to search for changes and better or further explanations resulting in long-term learning.

автор: Wasif S

20 сент. 2020 г.

A more or, less minimalized attempt to make familiar with Julia. This course is nowhere near what Julia is capable of (even in Introductory standards), but neverthless, it doesn't dissappoint. Resources are outdates. Heavy revision is strictly required with much more contents. Keep it up Team.

автор: Hunter G

4 мар. 2017 г.

While the course does a good job of explaining most things but if you struggle with a problem or a topic support is nearly non existent and offline resources for julia are limited. No one used the discussion forums either unfortunately.

автор: Ben C

28 дек. 2016 г.

This course was helpful in understanding the basics of Julia, but there are still a few things I feel I'm missing. A longer course with more time for advanced details would be better in my opinion.

автор: Subhankar

20 авг. 2018 г.

The course could have been much better if it was more aligned with the language itself instead of the epidemic and disease stuffs.

автор: Vishal S

30 апр. 2020 г.

sound problem in all videos, audio is very low

автор: Jm

17 окт. 2016 г.

fair intro level to julia

автор: bingining

24 дек. 2019 г.

A little bit to easy.

автор: Luis A C G

27 мая 2018 г.

While it's indeed a very good introduction to Julia lang, it makes no sense videos are based on course notes. I paid for the course because it has very positive comments, but in my opinion it doesn't worth it.

автор: S S A R

25 дек. 2017 г.

Poorly organised course content

автор: Matthieu L

24 дек. 2020 г.

With all due respect, this is the worst course I followed on Coursera.

- First of all week 1 is extremely basic. I would think that most people learning Julia are coming from Python and/or data-science background with programming knowledge. Yet the week 1 feels like for people with no programming experience.

- But then week 2 goes directly into plotting! Plotting is the last phase of any data analysis. Before that, you need to manipulate your data and there is a lot to learn about as Julia's Array seems very different than Python or Numpy's arrays but is absolutely not covered.

- Worse, week 3 has nothing to do with Julia. I appreciate having a real world example but most of the lectures are explaining epidemiology SIR models and teach nothing more about Julia. In terms of learning Julia, that entire week can be skipped.

- Week 4, which should have been before week 2 is more interesting going into DataFrames and data manipulation. But again, I think there's a lot to teach first about basic Julia data types like Arrays, Vectors, Sets...

An example. In week 4 there is a code doing the following on DataFrames dataA = data[data[:Treatment] .== "A", :] But never in the course is it explained that the period, when prefixing a function or operator is used to indicate broadcasting (performing the operation element wise).

In short, the course fails on teaching any of the important specificities about Julia.

And on top of that, as other mentions, it is outdated.

автор: Arturo E

23 окт. 2019 г.

Low quality course in many aspects: videos, updates, code, ideas.