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Julia Scientific Programming, Universidad de Ciudad del Cabo

4.5
137 calificaciones
50 revisiones

Acerca de este Curso

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 revisiones

por 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.

por 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"

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47 revisiones

por 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.

por 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+.

por A. Chase Turner

Dec 30, 2018

Good pace, materials and choices of problem sets.

por 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.

por 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.

por Jonathan Kariv

May 21, 2018

Good introduction to basic julia.

por Peter Dekkers

May 13, 2018

Nice introduction into Julia. The content is well structured and provides enough details so you can write your own (basic) data science routines in Julia. I also liked the Ebola use-case and to learn about modelling such an outbreak.

Personally I would prefer more videos about some of the more advanced language features and less about plotting libraries and the likes. But I guess that really depends what you are looking for.

Overall a highly recommended course.

por Francois Chesnay

May 11, 2018

Nice introduction to Julia.

por MARIO ZAMORA ALEMAN

May 09, 2018

Un excelente curso para iniciarse en la programación cientifica.

por Antonio Peduto

May 07, 2018

Great course!