Fix code in exercises (#3)

* Use consistent part and file numbering

* Add missing import

* Rename solutions to match excercises

* Sync code cell between exercice and solution

* Update order to match planned speaking order

* Update copyright

for some reason this defaults to 2023 according to the docs? [1]

[1] https://jupyterbook.org/en/stable/customize/config.html#configuration-defaults

* Reorder speakers according to review

and add Peter as well.

Author: lagru

tutorial/00_images_are_arrays.md renamed to tutorial/01_images_are_arrays.md

@@ -20,7 +20,7 @@ kernelspec:
 
 +++ {"slideshow": {"slide_type": "slide"}}
 
-# Image filtering
+# Part 2: Image filtering
 
 +++ {"slideshow": {"slide_type": "notes"}}
 

tutorial/01_image_filtering.md renamed to tutorial/02_image_filtering.md

@@ -18,7 +18,7 @@ kernelspec:
 %config InlineBackend.figure_format = 'retina'
 ```
 
-# Segmentation
+# Part 3: Segmentation
 
 --------------
 
@@ -40,6 +40,7 @@ Here is a very simple image and segmentation, taken from [this scikit-image gall
 
 ```{code-cell} ipython3
 import numpy as np
+import matplotlib.pyplot as plt
 from scipy import ndimage as ndi
 
 import napari

tutorial/02_segmentation_and_measuring.md renamed to tutorial/03_segmentation_and_measuring.md

@@ -1,4 +1,4 @@
-# Creating a napari plugin
+# Part 4: Creating a napari plugin
 
 ## Overview
 

tutorial/03_adv0_make_a_plugin.md renamed to tutorial/04_adv0_make_a_plugin.md

@@ -11,7 +11,7 @@ kernelspec:
   name: python3
 ---
 
-# What about deep learning
+# Part 5: What about deep learning
 
 Deep learning-based segmentation is getting extremely good, so why learn "the
 classics"? A few reasons:

tutorial/04_deep_learning_segmentation.md renamed to tutorial/05_deep_learning_segmentation.md

@@ -2,8 +2,9 @@
 # Learn more at https://jupyterbook.org/customize/config.html
 
 title: Image analysis and visualization in Python with scikit-image, napari, and friends
-author: Jordão Bragantini, Erick Martins Ratamero, Stéfan van der Walt, Lars Grüter, and previous contributors
+author: Lars Grüter, Stéfan van der Walt, Jordão Bragantini, Erick Martins Ratamero, Peter Sobolewski and previous contributors
 logo: logo.ico
+copyright: "2024"
 
 # Only build files in the table of contents.
 only_build_toc_files: true

tutorial/_config.yml

@@ -5,8 +5,8 @@ format: jb-book
 root: index
 chapters:
   - file: install_dependencies
-  - file: 00_images_are_arrays
-  - file: 01_image_filtering
-  - file: 02_segmentation_and_measuring
-  - file: 03_adv0_make_a_plugin
-  - file: 04_deep_learning_segmentation
+  - file: 01_images_are_arrays
+  - file: 02_image_filtering
+  - file: 03_segmentation_and_measuring
+  - file: 04_adv0_make_a_plugin
+  - file: 05_deep_learning_segmentation

tutorial/_toc.yml

@@ -21,10 +21,11 @@ unstuck!
 ## Instructors
 
 The instructors for this workshop are
+- Lars Grüter
+- Stefan van der Walt
 - Jordão Bragantini
 - Erick Martins Ratamero
-- Stefan van der Walt
-- Lars Grüter
+- Peter Sobolewski
 
 
 ## Goals

tutorial/index.md

@@ -1,5 +1,5 @@
 (install-dependencies)=
-# Install Python and dependencies
+# Part 0: Install Python and dependencies
 
 ```{tip}
 If you have any issues with installation, head over to our Zulip servers where we can help you get

tutorial/install_dependencies.md

@@ -20,7 +20,7 @@ kernelspec:
 
 +++ {"slideshow": {"slide_type": "slide"}}
 
-# Image filtering
+# Part 2: Image filtering
 
 +++ {"slideshow": {"slide_type": "notes"}}
 

tutorial/solved/00_images_are_arrays.md renamed to tutorial/solved/01_images_are_arrays.md

@@ -4,7 +4,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.14.7
+    jupytext_version: 1.16.2
 kernelspec:
   display_name: Python 3 (ipykernel)
   language: python
@@ -18,7 +18,7 @@ kernelspec:
 %config InlineBackend.figure_format = 'retina'
 ```
 
-# Segmentation
+# Part 3: Segmentation
 
 --------------
 
@@ -39,8 +39,8 @@ Computationally, segmentations are most often represented as images, of the same
 Here is a very simple image and segmentation, taken from [this scikit-image gallery example](https://scikit-image.org/docs/dev/auto_examples/segmentation/plot_watershed.html#sphx-glr-auto-examples-segmentation-plot-watershed-py):
 
 ```{code-cell} ipython3
-import matplotlib.pyplot as plt
 import numpy as np
+import matplotlib.pyplot as plt
 from scipy import ndimage as ndi
 
 import napari