Reduce page artifact file size

.github/workflows/docs.yml

@@ -59,6 +59,8 @@ jobs:
               run: |
                 jcache notebook -p docs/.jupyter_cache list
                 python -m sphinx -b dirhtml --doctree-dir docs/doctrees docs docs/_build
+                find docs/_build -iname '.jupyter_cache' # should be empty but sometimes it's not
+                find docs/_build -iname '.jupyter_cache' -exec rm -rf {} \;
               env:
                 TQDM_MININTERVAL: 20
 

README.md

@@ -21,7 +21,7 @@
 Pre-built binaries can be installed using pip:
 
 ```bash
-pip install opticalmapping[all]
+pip install "opticalmapping[all]"
 ```
 
 The above command will install optimap and all recommended dependencies including OpenCV and PySide2. If you wish to install your own version of OpenCV (e.g. for CUDA support) or Qt implementation use:
@@ -33,14 +33,14 @@ pip install opticalmapping
 To update optimap to the latest version run
 
 ```bash
-pip install --upgrade opticalmapping[all]
+pip install --upgrade "opticalmapping[all]"
 ```
 
 ## About optimap
 
 `optimap` is an interactive, script or notebook-based software library created for cardiovascular scientists in particular, but might also be useful for scientists in other fields. For instance, when performing calcium imaging or physiological research with moving cells or tissues. It is designed to be a flexible and customizable analysis workflow toolkit, which allows for a wide range of analyses and visualizations. See the [Tutorials](https://cardiacvision.github.io/optimap/main/tutorials/) for examples and more information about the usage of `optimap`. The tutorials can be downloaded by clicking on the link in the green box at the top of each tutorial page.
 
-`optimap` is developed by members of the [Cardiac Vision Laboratory](https://cardiacvision.ucsf.edu) at the [University of California, San Franicsco](https://www.ucsf.edu). It is open-source, freely available, and relies on open-source packages such as NumPy, SciPy, Matplotlib and OpenCV.
+`optimap` is developed by Jan Lebert and Jan Christoph of the [Cardiac Vision Laboratory](https://cardiacvision.ucsf.edu) at the [University of California, San Franicsco](https://www.ucsf.edu). It is open-source, freely available, and relies on open-source packages such as NumPy, SciPy, Matplotlib and OpenCV.
 
 ## Links
 

docs/conf.py

@@ -144,7 +144,7 @@ def remove_markdown(cell):
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
 #
-html_copy_source = True  # needed for download notebook button
+html_copy_source = False
 html_static_path = ["_static"]
 html_css_files = [
     "custom.css",