Skip to content

Changes for next time #5

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
ChasNelson1990 opened this issue Dec 9, 2019 · 13 comments
Open

Changes for next time #5

ChasNelson1990 opened this issue Dec 9, 2019 · 13 comments
Labels
enhancement New feature or request help wanted Extra attention is needed

Comments

@ChasNelson1990
Copy link
Member

Hi all, please add comments for everything we'd like to change for next time.

@ChasNelson1990 ChasNelson1990 added enhancement New feature or request help wanted Extra attention is needed labels Dec 9, 2019
@ChasNelson1990
Copy link
Member Author

@ChasNelson1990 needs less content/more time for the image processing in Python. Probably worth removing deconvolution entirely and having it in another session. Also worth emphasising the helical nature of tasks, e.g. use 'Tasks' and 'Exercises' and 'Challenges' like in prerequisite course.

@ChasNelson1990
Copy link
Member Author

Swap @todd-fallesen's session on Fiji to Python with @ChasNelson1990's session on Image Processing

@ChasNelson1990
Copy link
Member Author

Please could everybody use full variable names, e.g. myParticleImage not jut img. It's better for people reading outside of the course.

@ChasNelson1990
Copy link
Member Author

@dwaithe to update first image in images-in-python notebook (number alignment)

@ChasNelson1990
Copy link
Member Author

Please could everybody use full variable names, e.g. myParticleImage not jut img. It's better for people reading outside of the course.

Or snake case my_particle_image. I just mean informative names, camelCase or snake_case is a personal preference in my mind (let's ignore PEP-8)

@ChasNelson1990
Copy link
Member Author

Some of @todd-fallesen's course is covered in the prerequisites. I think it's great to repeat and revise this but it's worth bearing this in mind if we want to cut time somewhere.

@ChasNelson1990
Copy link
Member Author

I think @ChasNelson1990's session on image processing should perhaps follow a more pipeline orientated approach like @todd-fallesen's.

@ChasNelson1990
Copy link
Member Author

@todd-fallesen finished 30 minutes early (well, started bio-relevant section 30 minutes before the end). I suggest taking that time away and giving it to @ChasNelson1990's image-processing section but polishing the biologically relevant example as a resource for post-course revision?

@ChasNelson1990
Copy link
Member Author

Labels on @dwaithe's slides are very small

@gchennell
Copy link

gchennell commented Dec 10, 2019 via email

@ChasNelson1990
Copy link
Member Author

Turn @ChasNelson1990's processing session specifically into 'preprocessing'?

@ChasNelson1990
Copy link
Member Author

All to use regionprops_table and pandas.DataFrame to make visualising, describing, filtering, etc. the results more simple and more visual (requires conda to update their scikit-image).

@ChasNelson1990
Copy link
Member Author

Should @dwaithe's file formats be on the first day? Along with Python cmaps?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request help wanted Extra attention is needed
Projects
None yet
Development

No branches or pull requests

2 participants