Do you wish to learn programming? There are a plenty of courses online, but hardly you will find one that takes you to the next level of programming: Introducing the “Scientific Programming with C++”.
The “Scientific Programming with C++” is easiest and the most innovative hands-on practical C++ course for learning scientific and research data programming! It is also a finest example of Devops with Docker, Judge-API and TTYD technologies. We used these to build this course and we took 6-8 months of Devops times to build and cater the IDE environments for you.
While languages like Python and R are increasingly popular for Scientific Programming or Data sciences, C/ C++ can be a stronger choice for efficient and effective data and scientific computing. In this course, we hands-on the latest C++17 for Scientific Programming, software libraries, like MKL(Intel® Math Kernel Library), BLAS (Basic Linear Algebra Subroutines), LAPACK (Linear Algebra Package), STL (Standard template library), Boost (portable C++ library), MPI, OpenMP, CUDA and so on!
There are numerous hands-on to practice the C++ programming throughout the course. Happy coding!
Requirements
You will need a grasp of basic C++. It is a self-learning course with all Linux and IDE environments are provided.
Outcome
Understand programming C++ basics to the advanced C++ 17
Knowledge on developing complex C++ scientific applications
Learn about C++ libraries STL, BOOST, MPI, OpenMP
Be in a position to apply for Developer jobs, PhD and research positions requiring good C++
Latest comments (1)
Any chance you might be interested in also looking at oneAPL and SYCL?