differences for PR #2

Author: actions-user

fig/generate_figures.py

@@ -20,5 +20,5 @@
 "instructors/instructor-notes.md" "a492a732a51a4f3601b440636aa569f5" "site/built/instructor-notes.md" "2024-07-29"
 "learners/discuss.md" "0472061d33c7331f16f8e8aeb1ba72cd" "site/built/discuss.md" "2024-07-29"
 "learners/reference.md" "51f620bc89bfec7583ee64932ad84729" "site/built/reference.md" "2024-07-29"
-"learners/setup.md" "3af3b1332929787a3221a6214d6846a8" "site/built/setup.md" "2024-07-29"
+"learners/setup.md" "b730eaaf3b74a8370807de92b50f614b" "site/built/setup.md" "2024-11-29"
 "profiles/learner-profiles.md" "60b93493cf1da06dfd63255d73854461" "site/built/learner-profiles.md" "2024-07-29"

fig/optimize_svg.py

@@ -68,145 +68,7 @@ machine. Here are some instructions for you to follow *after* this course, to se
 up Python on your machine.
 
 Although one can install a plain-vanilla Python and all required libraries by hand,
-we recommend installing [Anaconda][anaconda-website],
-a Python distribution that comes with everything we need for the lesson.
-Detailed installation instructions for various operating systems can be found
-on The Carpentries [template website for workshops][anaconda-instructions]
-and in [Anaconda documentation][anaconda-install].
-
-### Launch Python interface
-
-To start working with Python, we need to launch a program that will interpret and execute our
-Python commands. Below we list several options. If you don't have a preference, proceed with the
-top option in the list that is available on your machine. Otherwise, you may use any interface
-you like.
-
-### Option A: Jupyter Notebook
-
-A Jupyter Notebook provides a browser-based interface for working with Python.
-If you installed Anaconda, you can launch a notebook in two ways:
-
-::::::::::::::::: spoiler
-
-### Anaconda Navigator
-
-1. Launch Anaconda Navigator.
-  It might ask you if you'd like to send anonymized usage information to Anaconda developers:
-  ![](fig/anaconda-navigator-first-launch.png){alt='Anaconda Navigator first launch'}
-  Make your choice and click "Ok, and don't show again" button.
-2. Find the "Notebook" tab and click on the "Launch" button:
-  ![](fig/anaconda-navigator-notebook-launch.png){alt='Anaconda Navigator Notebook launch'}
-  Anaconda will open a new browser window or tab with a Notebook Dashboard showing you the
-  contents of your Home (or User) folder.
-3. Navigate to the `data` directory by clicking on the directory names leading to it:
-  `Desktop`, `swc-python`, then `data`:
-  ![](fig/jupyter-notebook-data-directory.png){alt='Anaconda Navigator Notebook directory'}
-4. Launch the notebook by clicking on the "New" button and then selecting "Python 3":
-  ![](fig/jupyter-notebook-launch-notebook.png){alt='Anaconda Navigator Notebook directory'}
-
-:::::::::::::::::::::::::
-
-
-::::::::::::::::: spoiler
-
-### Command line (Terminal)
-
-1\. Navigate to the `data` directory:
-
-::::::::::::::::: spoiler
-
-### Unix shell
-
-If you're using a Unix shell application, such as Terminal app in macOS, Console or Terminal
-in Linux, or [Git Bash][gitbash] on Windows, execute the following command:
-
-```bash
-cd ~/Desktop/swc-python/data
-```
-
-:::::::::::::::::::::::::
-
-::::::::::::::::: spoiler
-
-### Command Prompt (Windows)
-
-On Windows, you can use its native Command Prompt program.  The easiest way to start it up is
-pressing <kbd>Windows Logo Key</kbd>\+<kbd>R</kbd>, entering `cmd`, and hitting
-<kbd>Return</kbd>. In the Command Prompt, use the following command to navigate to
-the `data` folder:
-
-```source
-cd /D %userprofile%\Desktop\swc-python\data
-```
-
-:::::::::::::::::::::::::
-
-2\. Start Jupyter server
-
-::::::::::::::::: spoiler
-
-### Unix shell
-
-```bash
-jupyter notebook
-```
-
-:::::::::::::::::::::::::
-
-
-::::::::::::::::: spoiler
-
-### Command Prompt (Windows)
-
-```source
-python -m notebook
-```
-
-:::::::::::::::::::::::::
-
-3\. Launch the notebook by clicking on the "New" button on the right and selecting "Python 3"
-from the drop-down menu:
-![](fig/jupyter-notebook-launch-notebook2.png){alt='Anaconda Navigator Notebook directory'}
-
-:::::::::::::::::::::::::
-
-  <!-- vertical spacer -->
-
-### Option B: IPython interpreter
-
-IPython is an alternative solution situated somewhere in between the plain-vanilla Python
-interpreter and Jupyter Notebook. It provides an interactive command-line based interpreter with
-various convenience features and commands.  You should have IPython on your system if you installed
-[Anaconda][anaconda-instructions].
-
-To start using IPython, execute:
-
-```source
-ipython
-```
-
-  <!-- vertical spacer -->
-
-### Option C: plain-vanilla Python interpreter
-
-To launch a plain-vanilla Python interpreter, execute:
-
-```source
-python
-```
-
-If you are using [Git Bash on Windows][gitbash], you have to call Python *via* `winpty`:
-
-```source
-winpty python
-```
-
-[anaconda-website]: https://www.anaconda.com/
-[anaconda-instructions]: https://carpentries.github.io/workshop-template/install_instructions/#python
-[anaconda-install]: https://docs.anaconda.com/anaconda/install
-[zipfile1]: data/python-novice-inflammation-data.zip
-[zipfile2]: ../episodes/files/code/python-novice-inflammation-code.zip
-[gitbash]: https://gitforwindows.org
-
-
-
+we recommend installing [Miniforge](https://conda-forge.org/download/), an open-source
+installer. You can see a [quick start guide](https://kirenz.github.io/codelabs/codelabs/miniforge-setup/#0)
+for using `conda` to run Python scripts. You can see the [Python docs](https://www.python.org/about/gettingstarted/)
+here for more information.