HPC python application development learning path

If you want to develop HPC applications using Python, you can consider following the following training sessions.

graph TD Python_for_beginners[Python for beginners] --> Python_for_programmers[Python for programmers] Version_control_with_git[Version control with Git] --> Python_for_programmers Linux_intro[Linux introduction] --> HPC_intro[HPC introduction] Python_for_programmers --> Scientific_Python[Scientific Python] HPC_intro --> Python_for_HPC[Python for HPC] Python_for_programmers --> Python_software_engineering[Python software engineering] Scientific_Python --> Python_for_HPC[Python for HPC] Scientific_Cpp[Scientific C++] --> Python_for_HPC Python_for_HPC --> Python_on_GPUs[Python on GPUs] Python_on_HPC[Python on HPC] --> Parallel_programming_with_MPI[Parallel programming with MPI] click Version_control_with_git "https://gjbex.github.io/Version-control-with-git" "Version control with Git" click Linux_intro "https://gjbex.github.io/Training-sessions/linux_intro" "Linux introduction" click HPC_intro "https://gjbex.github.io/Training-sessions/hpc_intro" "HPC introduction" click Python_for_beginners "https://gjbex.github.io/Python-for-beginners/" "Python for beginners" click Python_for_programmers "https://gjbex.github.io/Python-for-programmers/" "Python for programmers" click Python_software_engineering "https://gjbex.github.io/Python-software-engineering/" "Python software engineering" click Scientific_Python "https://gjbex.github.io/Scientific-Python/" "Scientific Python" click Python_for_HPC "https://gjbex.github.io/Python-for-HPC/" "Python for HPC" click Scientific_Cpp "https://gjbex.github.io/Scientific-C-plus-plus/" "Scientific C++" click Python_on_GPUs "https://gjbex.github.io/Python-on-GPUs/" "Python on GPUs" click Parallel_programming_with_MPI "https://gjbex.github.io/Training-sessions/parallel_programming_with_mpi" "Parallel programming with MPI"

If you are new to development using Python, you may want to start with "Python for beginners" and "Python for programmers".

It is important that you improve you software engineering skills, so you may want to follow the "Python software engineering" and "Version control with git" training sessions.

Python has a rich ecosystem of libraries for scientific computing, so you may want to follow the "Scientific Python" training session.

Since you will be working on HPC systems, you need to be familiar with the "Linux introduction" and "HPC introduction" training sessions.

Finally, you may want to follow the "Python for HPC" training session to learn how to write efficient Python code for HPC systems.

If you intend to interface Python with C++ code, you may want to follow the "Scientific C++" training session as well.

Perhaps you want to leverage the power of GPUs in your Python applications, in which case you may want to follow the "Python on GPUs" training session.