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Julia Scientific Programming, 케이프타운대학교

4.5
156개의 평가
54개의 리뷰

About this Course

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....

최상위 리뷰

대학: SP

Jan 27, 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.

대학: NP

Aug 06, 2017

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"

필터링 기준:

51개의 리뷰

대학: Ian Weaver

Apr 09, 2019

Very well designed and organized. Had a lot of fun learning with this course!

대학: Ehsan Moradi

Apr 09, 2019

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.

대학: Leonel Mendez

Mar 21, 2019

Good Course

대학: João Victor do Pilar

Mar 05, 2019

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

대학: Paul F. Groepler

Jan 28, 2019

Great course, well taught and thorough. I would only add that it needs to be updated from the version in the course (0.4.6) to the latest, full version of Julia, e.g. (1.x). I would have given 5 stars but for that fact.

대학: YinpuLi

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+.

대학: A. Chase Turner

Dec 30, 2018

Good pace, materials and choices of problem sets.

대학: Subhankar

Aug 20, 2018

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

대학: Luis Alejandro Carrera Grande

May 28, 2018

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.

대학: Jonathan Kariv

May 21, 2018

Good introduction to basic julia.