Gliwice

Zwycięstwa 10, Gliwice, Poland, 44-100
The entrance to the facility is located on Dolnych Wałów Street. The rooms are situated in the center of Gliwice, just a 2-...

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Introduction to Julia

14 Hours
This course is oriented towards data analysts as well as research scientists. Julia is a rapidly emerging programming language with a strong focus on numerical accuracy, scientific computing and statistics. It has gained most of its reputation due to its speed of execution in conjunction with its ease of programming. What is less emphasized, although it is true, is that
  • Julia has a wealth of built-in and external tools for distributed and parallel computing,
  • it facilitates the construction of user-defined data structures,
  • it makes it easy to do metaprogramming, therefore to also define your ownl DSLs,
  • it allows interacting with several other programming languages such as C, Python and R,
  • it provides a multiple-dispatch programming paradigm, which in many ways helps you organize your code and makes you a better programmer and software engineer.
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Introduction to Julia Programming

21 Hours
This is a general introduction to Julia programming course and is for people new to the Julia language who are looking for a firm foundation
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Machine Learning Algorithms in Julia

21 Hours
This course is for people that already have a background in data science and statistics. The explanations given are designed to either serve as a reminder to those that are already familiar with the concepts or inform those with a suitable background.
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Statistics and Probabilistic Programming in Julia

21 Hours
This course is intended for people that already have a background in data science and statistics. The explanations given are designed to either serve as a reminder to those that are already familiar with the concepts or inform those with a suitable background.  
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Testimonials (3)

everything about Julia

Nelisiwe TP Mtshali - Africa Health Research Institue (AHRI)
Course - Introduction to Julia Programming

The teacher addressed many relevant topics for clean coding with practical examples.

Ben van Oeveren - Movella
Course - Clean Code

I really liked that there were a lot of practical exercises in which you could put the learned immediately into action.

Daniel Bubla
Course - Clean Code

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