This PR is to add the niriss imaging tutorial notebook to the jupyter book table of contents.
This notebook checklist has been made available to us by the the Notebooks For All team.
Its purpose is to serve as a guide for both the notebook author and the technical reviewer highlighting critical aspects to consider when striving to develop an accessible and effective notebook.
The First Cell
[ ] The title of the notebook in a first-level heading (eg. <h1> or # in markdown).
[ ] A brief description of the notebook.
[ ] A table of contents in an ordered list (1., 2., etc. in Markdown).
[ ] The author(s) and affiliation(s) (if relevant).
[ ] The date first published.
[ ] The date last edited (if relevant).
[ ] A link to the notebook's source(s) (if relevant).
The Rest of the Cells
[ ] There is only one H1 (# in Markdown) used in the notebook.
[ ] The notebook uses other heading tags in order (meaning it does not skip numbers).
Text
[ ] All link text is descriptive. It tells users where they will be taken if they open the link.
[ ] All acronyms are defined at least the first time they are used.
[ ] Field-specific/specialized terms are used when needed, but not excessively.
Code
[ ] Code sections are introduced and explained before they appear in the notebook. This can be fulfilled with a heading in a prior Markdown cell, a sentence preceding it, or a code comment in the code section.
[ ] Code has explanatory comments (if relevant). This is most important for long sections of code.
[ ] If the author has control over the syntax highlighting theme in the notebook, that theme has enough color contrast to be legible.
[ ] Code and code explanations focus on one task at a time. Unless comparison is the point of the notebook, only one method for completing the task is described at a time.
Images
[ ] All images (jpg, png, svgs) have an image description. This could be
[ ] The type of visualization (like bar chart, scatter plot, etc.)
[ ] Title
[ ] Axis labels and range
[ ] Key or legend
[ ] An explanation of the visualization's significance to the notebook (like the trend, an outlier in the data, what the author learned from it, etc.)
[ ] All visualizations and their parts have enough color contrast (color contrast checker) to be legible. Remember that transparent colors have lower contrast than their opaque versions.
[ ] All visualizations have an additional way for notebook readers to access the information. Linking to the original data, including a table of the data in the same notebook, or sonifying the plot are all options.
Description:
This PR is to add the niriss imaging tutorial notebook to the jupyter book table of contents.
This notebook checklist has been made available to us by the the Notebooks For All team. Its purpose is to serve as a guide for both the notebook author and the technical reviewer highlighting critical aspects to consider when striving to develop an accessible and effective notebook.
The First Cell
<h1>or# in markdown).1., 2.,etc. in Markdown).The Rest of the Cells
#in Markdown) used in the notebook.Text
Code
Images
[ ] All images (jpg, png, svgs) have an image description. This could be
altproperty)altattribute with no value)[ ] Any text present in images exists in a text form outside of the image (this can be alt text, captions, or surrounding text.)
Visualizations
[ ] All visualizations have an image description. Review the previous section, Images, for more information on how to add it.
[ ] Visualization descriptions include
[ ] All visualizations and their parts have enough color contrast (color contrast checker) to be legible. Remember that transparent colors have lower contrast than their opaque versions.
[ ] All visualizations convey information with more visual cues than color coding. Use text labels, patterns, or icons alongside color to achieve this.
[ ] All visualizations have an additional way for notebook readers to access the information. Linking to the original data, including a table of the data in the same notebook, or sonifying the plot are all options.