Motivation:
I made a Chrome extension to view online/offline medical DICOM before. This year I tried Pyodide to migrate the data parser part from JS to Python, in order to get better maintainability. Whiling doing the migration, I thought it might be a good thing to share the result with the Python community so I tried to submit the talk to PyconTW first. Fortunately, I became one of the speakers in PyCon Taiwan. Later I was chosen to be one of 4 Taiwan speaks to represent Taiwan to attend PyCon APAC. Based on the discussion, I would like to share this experience a little more in the this pyodide-blog and most of the content of this proposed post will use the talk slide as a reference.
Comparison of visualization + parsing solutions. slide p4
*Pyodide introduction (slide p5~p17). I will skip most of this part in slide content and if you think which page is good to be added, welcome to tell me.
Introduction to my project: Embedded Pydicom React Viewer, since slide p18.
...
cover a little performance profiling and how I overcome, e.g. p25
Motivation: I made a Chrome extension to view online/offline medical DICOM before. This year I tried Pyodide to migrate the data parser part from JS to Python, in order to get better maintainability. Whiling doing the migration, I thought it might be a good thing to share the result with the Python community so I tried to submit the talk to PyconTW first. Fortunately, I became one of the speakers in PyCon Taiwan. Later I was chosen to be one of 4 Taiwan speaks to represent Taiwan to attend PyCon APAC. Based on the discussion, I would like to share this experience a little more in the this pyodide-blog and most of the content of this proposed post will use the talk slide as a reference.
PyCon APAC talk slide: https://slides.com/grimmer/pyconapac_pyodide_dicom_viewer (improvement of PyConTW slide) PyCon TW talk slide: https://slides.com/grimmer/intro_pyodide_medical_dicom_viewer repo: https://github.com/grimmer0125/embedded-pydicom-react-viewer
post outline: