GitHub markdown updates (#545)

* GitHub markdown updates

* Apply suggestions from code review

* Apply suggestions from code review

setup/01_optional-python-setup-preferences/README.md

@@ -6,7 +6,8 @@ There are several ways to install Python and set up your computing environment.
 
 <br>
 
-> [!NOTE] If you are running any of the notebooks on Google Colab and want to install the dependencies, simply run the following code in a new cell at the top of the notebook and skip the rest of this tutorial:
+> **Note:** 
+> If you are running any of the notebooks on Google Colab and want to install the dependencies, simply run the following code in a new cell at the top of the notebook and skip the rest of this tutorial:
 > `pip install uv && uv pip install --system -r https://raw.githubusercontent.com/rasbt/LLMs-from-scratch/refs/heads/main/requirements.txt`
 
 The remaining sections below describe how you can manage your Python environment and packages on your local machine.
@@ -24,7 +25,7 @@ In this tutorial, I am using a computer running macOS, but this workflow is simi
 This section guides you through the Python setup and package installation procedure using `uv` via its `uv pip` interface. The `uv pip` interface may feel more familiar to most Python users who have used pip before than the native `uv` commands.
 
 &nbsp;
-> [!NOTE]
+> **Note:**
 > There are alternative ways to install Python and use `uv`. For example, you can install Python directly via `uv` and use `uv add` instead of `uv pip install` for even faster package management.
 >
 > If you are a macOS or Linux user and prefer the native `uv` commands, refer to the [./native-uv.md tutorial](./native-uv.md). I also recommend checking the official [`uv` documentation](https://docs.astral.sh/uv/).
@@ -49,7 +50,11 @@ python --version
 If it returns 3.10 or newer, no further action is required.
 
 &nbsp;
-> [!NOTE]
+> **Note:**
+> If `python --version` indicates that no Python version is installed, you may also want to check `python3 --version` since your system might be configured to use the `python3` command instead.
+
+&nbsp;
+> **Note:**
 > I recommend installing a Python version that is at least 2 versions older than the most recent release to ensure PyTorch compatibility. For example, if the most recent version is Python 3.13, I recommend installing version 3.10 or 3.11.
 
 Otherwise, if Python is not installed or is an older version, you can install it for your operating system as described below.
@@ -118,7 +123,7 @@ source .venv/bin/activate
 ```
 
 &nbsp;
-> [!NOTE]
+> **Note:**
 > If you are using Windows, you may have to replace the command above by `source .venv/Scripts/activate` or `.venv/Scripts/activate`.
 
 
@@ -157,7 +162,7 @@ uv pip install -r https://raw.githubusercontent.com/rasbt/LLMs-from-scratch/refs
 
 &nbsp;
 
-> [!NOTE]
+> **Note:**
 > If you have problems with the following commands above due to certain dependencies (for example, if you are using Windows), you can always fall back to using regular pip:
 > `pip install -r requirements.txt`
 > or

setup/01_optional-python-setup-preferences/native-pixi.md

@@ -1,10 +1,10 @@
 # Native pixi Python and package management
 
-This tutorial is an alternative to the [`./native-uv.md`](native-uv.md) document for those who prefer `pixi`'s native commands over traditional environment and package managers like `conda` and `pip`. 
+This tutorial is an alternative to the [`./native-uv.md`](native-uv.md) document for those who prefer `pixi`'s native commands over traditional environment and package managers like `conda` and `pip`.
 
-Note that pixi uses `uv add` under the hood, as described in [`./native-uv.md`](native-uv.md). 
+Note that pixi uses `uv add` under the hood, as described in [`./native-uv.md`](native-uv.md).
 
-Pixi and uv are both modern package and environment management tools for Python, but pixi is a polyglot package manager designed for managing not just Python but also other languages (similar to conda), while uv is a Python-specific tool optimized for ultra-fast dependency resolution and package installation. 
+Pixi and uv are both modern package and environment management tools for Python, but pixi is a polyglot package manager designed for managing not just Python but also other languages (similar to conda), while uv is a Python-specific tool optimized for ultra-fast dependency resolution and package installation.
 
 Someone might choose pixi over uv if they need a polyglot package manager that supports multiple languages (not just Python) or prefer a declarative environment management approach similar to conda. For more information, please visit the official [pixi documentation](https://pixi.sh/latest/).
 
@@ -37,7 +37,7 @@ wget -qO- https://pixi.sh/install.sh | sh
 powershell -ExecutionPolicy ByPass -c "irm -useb https://pixi.sh/install.ps1 | iex"
 ```
 
-> [!NOTE] 
+> **Note:**
 > For more installation options, please refer to the official [pixi documentation](https://pixi.sh/latest/).
 
 
@@ -50,7 +50,7 @@ You can install Python using pixi:
 pixi add python=3.10
 ```
 
-> [!NOTE] 
+> **Note:**
 > I recommend installing a Python version that is at least 2 versions older than the most recent release to ensure PyTorch compatibility. For example, if the most recent version is Python 3.13, I recommend installing version 3.10 or 3.11. You can find out the most recent Python version by visiting [python.org](https://www.python.org).
 
  
@@ -62,7 +62,7 @@ To install all required packages from a `pixi.toml` file (such as the one locate
 pixi install
 ```
 
-> [!NOTE] 
+> **Note:**
 > If you encounter issues with dependencies (for example, if you are using Windows), you can always fall back to pip: `pixi run pip install -U -r requirements.txt`
 
 By default, `pixi install` will create a separate virtual environment specific to the project.

setup/01_optional-python-setup-preferences/native-uv.md

@@ -49,7 +49,7 @@ powershell -c "irm https://astral.sh/uv/install.ps1 | more"
 
  
 
-> [!NOTE]
+> **Note:**
 > For more installation options, please refer to the official [uv documentation](https://docs.astral.sh/uv/getting-started/installation/#standalone-installer).
 
  
@@ -61,12 +61,11 @@ To install all required packages from a `pyproject.toml` file (such as the one l
 uv sync --dev --python 3.11
 ```
 
-> [!NOTE]
+> **Note:**
 > If you do not have Python 3.11 available on your system, uv will download and install it for you.
-> 
 > I recommend using a Python version that is at least 1-3 versions older than the most recent release to ensure PyTorch compatibility. For example, if the most recent version is Python 3.13, I recommend using version 3.10, 3.11, 3.12. You can find out the most recent Python version by visiting [python.org](https://www.python.org/downloads/).
 
-> [!NOTE]
+> **Note:**
 > If you have problems with the following commands above due to certain dependencies (for example, if you are using Windows), you can always fall back to regular pip:
 > `uv add pip`
 > `uv run python -m pip install -U -r requirements.txt`
@@ -84,7 +83,7 @@ You can install new packages, that are not specified in the `pyproject.toml` via
 uv add packaging
 ```
 
-And you can remove packages via `uv remove`, for example,	
+And you can remove packages via `uv remove`, for example,
 
 ```bash
 uv remove packaging
@@ -136,13 +135,13 @@ On Windows (PowerShell):
 .venv\Scripts\activate
 ```
 
-Then, you can run scripts via 
+Then, you can run scripts via
 
 ```bash
 python script.py
 ```
 
-and launch JupyterLab via 
+and launch JupyterLab via
 
 ```bash
 juputer lab