Enhance installation guide with clarity and verification

docs/getting-started/installation.md

@@ -1,39 +1,59 @@
+`ydata-synthetic` is available through PyPi, allowing an easy process of installation and integration with the data science programming environments (Google Colab, Jupyter Notebooks, Visual Studio Code, PyCharm) and stack (`pandas`, `numpy`, `scikit-learn`).
 
-`ydata-synthetic` is available through PyPi, allowing an easy process of installation and integration with the data science programing environments (Google Colab, Jupyter Notebooks, Visual Studio Code, PyCharm) and stack (`pandas`, `numpy`, `scikit-learn`).
+## Installing the package
 
-##Installing the package
-Currently, the package supports **python versions over 3.9**, and can be installed in Windows, Linux or MacOS operating systems. 
+Currently, the package supports **Python versions 3.9 through 3.11**, and can be installed in Windows, Linux, or MacOS operating systems.
 
-Prior to the package installation, it is recommended the creation of a virtual or `conda` environment:
+Prior to the package installation, it is recommended to create a virtual or `conda`/`mamba` environment:
 
 === "conda"
     ``` commandline
     conda create -n synth-env python=3.10
     conda activate synth-env
     ```
 
-The above command creates and activates a new environment called "synth-env" with Python version 3.10.X. In the new environment, you can then install `ydata-synthetic`:
+=== "mamba"
+    ``` commandline
+    mamba create -n synth-env python=3.10
+    mamba activate synth-env
+    ```
+
+The above commands create and activate a new environment called "synth-env" with Python version 3.10.X. In the new environment, you can then install `ydata-synthetic`:
 
 === "pypi"
     ``` commandline
-    pip install ydata-synthetic==1.1.0
+    pip install ydata-synthetic
+    ```
+    To install a specific version (e.g., the latest stable version v1.4.0), use:
+    ``` commandline
+    pip install ydata-synthetic==1.4.0
     ```
 
 :fontawesome-brands-youtube:{ style="color: #EE0F0F" }
 [Installing ydata-synthetic](https://www.youtube.com/watch?v=aESmGcxtBdU) – :octicons-clock-24:
 5min – Step-by-step installation guide
 
+## Verification
+
+After installation, verify the installed version with:
+
+```python
+import ydata_synthetic
+print(ydata_synthetic.__version__)
+```
+
 ## Using Google Colab
+
 To install inside a Google Colab notebook, you can use the following:
 
 ``` commandline
-!pip install ydata-synthetic==1.1.0
+!pip install ydata-synthetic
 ```
 
-Make sure your Google Colab is running Python versions `>=3.9, <3.11`. Learn how to configure Python versions on Google Colab [here](https://stackoverflow.com/questions/68657341/how-can-i-update-google-colabs-python-version/68658479#68658479).
-
+Make sure your Google Colab is running Python versions `>=3.9, <3.12`. Learn how to configure Python versions on Google Colab [here](https://stackoverflow.com/questions/68657341/how-can-i-update-google-colabs-python-version/68658479#68658479).
 
 ## Installing the Streamlit App
+
 Since version 1.0.0, the `ydata-synthetic` includes a GUI experience provided by a Streamlit app. The UI supports the data synthesization process from reading the data to profiling the synthetic data generation, and can be installed as follows:
 
 ``` commandline
@@ -42,5 +62,18 @@ pip install "ydata-synthetic[streamlit]"
 
 Note that Jupyter or Colab Notebooks are not yet supported, so use it in your Python environment.
 
+### Launching the App
+
+To launch the Streamlit app after installation, run the following in your Python environment:
+
+```python
+import ydata_synthetic.streamlit_app as streamlit_app
+streamlit_app.run()
+```
+
+:fontawesome-brands-youtube:{ style="color: #EE0F0F" }
+[How to launch the Streamlit GUI](https://www.youtube.com/watch?v=YOUR_STREAMLIT_GUIDE_LINK) – :octicons-clock-24:
+Quick guide to starting the Streamlit app
+
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