The following software repository presents a specialised, postgraduate-level monographic course dedicated to efficient scientific computing. Its main focus are the interfacing mechanisms between langauges widely used and popular amongst data scientists: Python and R to a low-level but much faster C++.
(general info: HOW, not WHAT)
Participants of the course should be well-prepared with:
- reasonable experience with a text shell environment
- very good understanding of C and C++
- basic programming skills in Python and R
- background in: linear algebra, real analysis, statistics and machine learning
In addition to the aforementioned material prior experience in computational research will be highly beneficial.
For the reasons above the following course is not suitable for junior developers.
The course is divided into 5 sessions with session zero dedicated to setting up necessary dependencies.
- A
- B
- C
- D
- E
(how-to go through it, structure description)
All contrubitions are very much welcome in the forms of
GitHub Issues and Pull Requests 😊
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© 2023 Maciek Bak