note about google colab (#535)

Author: rasbt

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

@@ -4,6 +4,13 @@
 
 There are several ways to install Python and set up your computing environment. Here, I share my personal preferences.
 
+<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:
+> `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.
+
 I have been a long-time user of [Conda](https://anaconda.org/anaconda/conda) and [pip](https://pypi.org/project/pip/), but recently, the [uv](https://github.com/astral-sh/uv) package has gained significant traction as it provides a faster and more efficient way to install packages and resolve dependencies.
 
 I recommend starting with *Option 1: Using uv* as it is the more modern approach in 2025. If you encounter problems with *Option 1*, consider *Option 2: Using Conda*.

setup/README.md

@@ -13,6 +13,12 @@ If you already have a Python installation on your machine, the quickest way to g
 pip install -r requirements.txt
 ```
 
+<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:
+> `pip install uv && uv pip install --system -r https://raw.githubusercontent.com/rasbt/LLMs-from-scratch/refs/heads/main/requirements.txt`
+
+
 &nbsp;
 
 # Local Setup