Merge branch 'main' into main

Author: SkafteNicki

s1_development_environment/deep_learning_software.md

@@ -95,7 +95,6 @@ your system.
 
 Here are some general installation commands for Pytorch:
 
-
 === "Using pip"
 
     For `pip` install you can basically follow the instructions on the Pytorch homepage. Here are some common
@@ -153,6 +152,11 @@ Here are some general installation commands for Pytorch:
 [Exercise files](https://github.com/SkafteNicki/dtu_mlops/tree/main/s1_development_environment/exercise_files){ .md-button }
 <!-- markdownlint-restore -->
 
+!!! tip "Notebooks and `uv`
+
+    If you are using `uv` as your package manager, you may need to restart the Jupyter Notebook kernel after installing
+    new packages to ensure that the newly installed packages are recognized within the notebook environment.
+
 1. Start a Jupyter Notebook session in your terminal (assuming you are at the root of the course material).
     Alternatively, you should be able to open the notebooks directly in your code editor. For VS Code users you can read
     more about how to work with Jupyter Notebooks in VS code

s1_development_environment/package_manager.md

@@ -415,7 +415,19 @@ to make it work.
             uv python pin 3.13
             ```
 
-    8. (Optional) `uv` also supports the notion of *tools* which are external command line tools that you may use in
+    8. Assume you have a friend wonking on the same project as you and they are using `pip` together with good old
+        `requirements.txt` files. How do you create a `requirements.txt` file from your `uv` project?
+
+        ??? success "Solution"
+
+            Relevant documentation can be found
+            [here](https://docs.astral.sh/uv/concepts/projects/sync/#exporting-the-lockfile).
+
+            ```bash
+            uv export --format requirements.txt
+            ```
+
+    9. (Optional) `uv` also supports the notion of *tools* which are external command line tools that you may use in
         multiple projects. Examples of such tools are `black`, `ruff`, `pytest` and so on (all which you will encounter
         later in the course). These tools can be installed globally on your system by using the `uvx` (or `uv tool`):
         command:

s2_organisation_and_version_control/code_structure.md

@@ -340,7 +340,6 @@ your head around where files are located.
         uvx invoke
         # then you can execute the tasks
         uvx invoke preprocess-data  # runs the data.py file
-        uvx invoke requirements     # installs all requirements in the requirements.txt file
         uvx invoke train            # runs the train.py file
         # or get a list of all tasks
         uvx invoke --list