Merge pull request #1127 from Avaiga/feat/taipy#1748-stop-python3.8-s…

…upport

Doc/taipy#1748 - Stop supporting python 3.8

docs/release-notes/index.md

@@ -60,6 +60,9 @@ This is the list of changes to Taipy releases as they were published.
 
 <h4><strong><code>taipy</code></strong> 4.0.0</h4>
 
+- Taipy and all its dependencies now stop support Python 3.8.<br/>
+  The minimum supported Python version is now 3.9.
+
 <h4><strong><code>taipy-gui</code></strong> 4.0.0</h4>
 
 - Setting up styling: if a file called `taipy.css` sits next to the Python script (`<app>.py`) that

docs/tutorials/articles/complete_application/index.md

@@ -8,7 +8,7 @@ img: complete_application/step_04/images/result.png
 ---
 !!! note "Supported Python versions"
 
-    Taipy requires **Python 3.8** or newer.
+    Taipy requires **Python 3.9** or newer.
 
 This tutorial guide will walk you through creating a complete application from the front end to
 the back end. You don't need any prior knowledge to complete this tutorial.
@@ -29,7 +29,7 @@ comparison of various predictive outcomes.
 
 Three packages have to be installed:
 
- 1. **Taipy** package, it requires Python 3.8 or newer;
+ 1. **Taipy** package, it requires Python 3.9 or newer;
 
  2. **scikit-learn**: A Machine-Learning package that will be used in the Tutorial user code;
 

docs/tutorials/articles/dataiku/index.md

@@ -23,10 +23,10 @@ Dataiku's data processing capabilities with Taipy's task orchestration and data
 
 # Simple Integration: Visualization
 
-We'll cover how to extract and display 
-information from Dataiku projects. You'll be able to visualize various data and metrics from your 
-Dataiku projects. Remember, we'll utilize the `dataiku-api-client` for retrieving information when 
-building applications outside the Dataiku ecosystem. If you're following the first tutorial, you can 
+We'll cover how to extract and display
+information from Dataiku projects. You'll be able to visualize various data and metrics from your
+Dataiku projects. Remember, we'll utilize the `dataiku-api-client` for retrieving information when
+building applications outside the Dataiku ecosystem. If you're following the first tutorial, you can
 directly use the `dataiku` package.
 
 ## Setting Up Your Environment
@@ -515,18 +515,18 @@ interaction between the end user and its data and models.
 
 # Taipy Application in Dataiku DSS
 
-We'll begin by developing an application directly within Dataiku DSS. This approach allows you to 
-utilize the comprehensive dataiku package, packed with powerful features, and seamlessly integrate 
+We'll begin by developing an application directly within Dataiku DSS. This approach allows you to
+utilize the comprehensive dataiku package, packed with powerful features, and seamlessly integrate
 your Taipy application into your existing ecosystem.
 
 !!! warning "Taipy Application in Dataiku DSS"
-    This has some limitations when it comes to publishing the application as a web 
-    app. Creating a web application through Code Studio sometimes results in an 
-    unexpected failure. 
+    This has some limitations when it comes to publishing the application as a web
+    app. Creating a web application through Code Studio sometimes results in an
+    unexpected failure.
 
 ## Prerequisites:
 - Ensure that [Code Studios](https://knowledge.dataiku.com/latest/code/work-environment/tutorial-first-code-studio.html) is enabled for your instance.
-- You must have a [Code Environment](https://doc.dataiku.com/dss/latest/code-envs/index.html) with Taipy installed and Python version 3.8 or higher.
+- You must have a [Code Environment](https://doc.dataiku.com/dss/latest/code-envs/index.html) with Taipy installed and Python version 3.9 or higher.
 
 ## Step-by-Step Guide:
 
@@ -563,7 +563,7 @@ You can either name your new template or import one using the dropdown arrow nex
 
      - **Visual Studio Code**: Enable the "Launch for Webapps" option.
 
-     - **Entrypoint**: Add a label (e.g., "taipy"), enable both "Launch for Webapps" and "Expose port". 
+     - **Entrypoint**: Add a label (e.g., "taipy"), enable both "Launch for Webapps" and "Expose port".
 
      Specify an "Exposed port label" (e.g., "taipy") and the exposed port (5000, the default port for Taipy).
 
@@ -581,7 +581,7 @@ Then, return to Code Studios to create a Code Studio using this template, which
 
 ```python
 <Gui>.run(..., base_url="/code-studios/<PROJECT_NAME>/<CODE_STUDIO_ID>/<EXPOSED_PORT>/")
-``` 
+```
 
 The exposed port should be 5000, as set in the Entrypoint block. You can find these details easily in the URL:
 
@@ -597,10 +597,10 @@ The exposed port should be 5000, as set in the Entrypoint block. You can find th
 
 ![Application Refresh](images/application_resfresh.png){width=90% : .tp-image-border}
 
-In conclusion, integrating Dataiku with Taipy provides a powerful 
-solution for data processing, visualization, and scenario orchestration. 
-By leveraging Taipy's scenario management and Dataiku's robust capabilities, 
-organizations can enhance efficiency, scalability, and collaboration in their data 
-scenarios. This integration enables seamless interaction between Dataiku 
-projects and Taipy, facilitating the creation and scalability data-driven 
+In conclusion, integrating Dataiku with Taipy provides a powerful
+solution for data processing, visualization, and scenario orchestration.
+By leveraging Taipy's scenario management and Dataiku's robust capabilities,
+organizations can enhance efficiency, scalability, and collaboration in their data
+scenarios. This integration enables seamless interaction between Dataiku
+projects and Taipy, facilitating the creation and scalability data-driven
 applications.

docs/tutorials/articles/understanding_gui/index.md

@@ -8,7 +8,7 @@ img: understanding_gui/step_07/images/result.png
 ---
 
 !!! note "Supported Python versions"
-    Taipy requires **Python 3.8** or newer.
+    Taipy requires **Python 3.9** or newer.
 
 Welcome to the **Taipy Tutorial**! Learn to build interactive web applications
 effortlessly.
@@ -37,13 +37,13 @@ accordingly.
 
 ### Installation
 
-Ensure you have Python 3.8 or newer, then install Taipy:
+Ensure you have Python 3.9 or newer, then install Taipy:
 
 ```bash
 pip install taipy
 ```
 
-For the NLP feature (Python 3.8 to 3.10), install:
+For the NLP feature (Python 3.9 to 3.10), install:
 
 ```bash
 pip install torch transformers scipy

docs/tutorials/articles/understanding_gui/src/step_05.py

@@ -8,7 +8,7 @@
 tokenizer = AutoTokenizer.from_pretrained(MODEL)
 model = AutoModelForSequenceClassification.from_pretrained(MODEL)
 
-# Torch is, for now, only available for the Python version between 3.8 and 3.10.
+# Torch is, for now, only available for the Python version between 3.9 and 3.10.
 # If you cannot install these packages, just return a dictionary of random numbers for the `analyze_text(text).`
 def analyze_text(text):
     # Run for Roberta Model

docs/tutorials/articles/understanding_gui/step_05/step_05.md

@@ -45,7 +45,7 @@ into play in Part 2 when we wrap a GUI around this NLP engine.
 
 Before executing this step, you should have `pip install torch` and `pip install transformers`.
 The model will be downloaded and utilized in this code snippet. Note that Torch is currently
-only accessible for Python versions between 3.8 and 3.10.
+only accessible for Python versions between 3.9 and 3.10.
 
 If you encounter difficulties installing these packages, you can simply provide a dictionary of
 random numbers as the output for the `analyze_text(text)` function.

docs/tutorials/getting_started/index.md_template

@@ -9,7 +9,7 @@ first application with ease.
 
 # Installation with pip
 
-1. **Prerequisites**: Ensure you have Python (**version 3.8 or later**) and
+1. **Prerequisites**: Ensure you have Python (**version 3.9 or later**) and
     [pip](https://pip.pypa.io) installed.
 
 2. **Installation Command**: Run the following in your terminal or command prompt:

docs/tutorials/getting_started/installation.md

@@ -8,7 +8,7 @@ powerful web applications.
 
 # Prerequisite
 
-Before installing Taipy, ensure you have Python (**version 3.8 or later**) and
+Before installing Taipy, ensure you have Python (**version 3.9 or later**) and
 [pip](https://pip.pypa.io) installed on your system. If you don't have pip installed, you can
 follow these steps to install it:
 

docs/userman/gui/extension/index.md

@@ -141,7 +141,7 @@ its elements:
 To create and use custom visual elements, you need to install the following:
 
 - Taipy GUI 2.0 or higher (included in Taipy and Taipy Enterprise).
-- Python 3.8 or higher.
+- Python 3.9 or higher.
 - If you need to create [dynamic custom visual elements](dynamic_element/index.md), you
   also need to install [Node.js](https://nodejs.org) (version 18 or above).<br/>
   Note that this comes with `npm`, the Node Package Manager.<br/>

docs/userman/index.md

@@ -8,7 +8,7 @@ complete Taipy application.
 
 !!! note "Supported Python versions"
 
-    Taipy requires **Python 3.8** or newer.
+    Taipy requires **Python 3.9** or newer.
 
 # Quick Access
 

docs/userman/run-deploy/deploy/linux/redhat.md

@@ -7,23 +7,23 @@ Server [uWSGI](https://uwsgi-docs.readthedocs.io/en/latest/) and the Web Server
 
 ## Upgrading Python
 
-Most _RHEL_ are delivered with a Python version older than 3.8 which is the oldest Python version
-supported by Taipy. If you are in that case, please install Python 3.8 (or newer):
+Most *RHEL* are delivered with a Python version older than 3.9 which is the oldest Python version
+supported by Taipy. If you are in that case, please install Python 3.9 (or newer):
 ```
 sudo dnf install -y gcc openssl-devel bzip2-devel libffi-devel make
-wget https://www.python.org/ftp/python/3.8.12/Python-3.8.12.tgz
-tar xzf Python-3.8.12.tgz
-rm -rf Python-3.8.12.tgz
-cd Python-3.8.12
+wget https://www.python.org/ftp/python/3.9.12/Python-3.9.12.tgz
+tar xzf Python-3.9.12.tgz
+rm -rf Python-3.9.12.tgz
+cd Python-3.9.12
 sudo ./configure --enable-optimizations
 sudo make altinstall
 cd ..
-sudo rm -r Python-3.8.12
+sudo rm -r Python-3.9.12
 ```
 
 !!! info
     This tutorial specifies the Python version for each command. If your default version is different, you must
-    replace `python3.8` with `python`.
+    replace `python3.9` with `python`.
 
 
 ## Prepare your machine
@@ -39,7 +39,7 @@ The following software should be installed on your target machine:
 You can install all of these packages by running the following command:
 ```
 sudo dnf install -y nginx
-python3.8 -m pip install uwsgi gevent
+python3.9 -m pip install uwsgi gevent
 sudo mv `pwd`/.local/bin/uwsgi /usr/bin/uwsgi
 sudo restorecon /usr/bin/uwsgi
 ```
@@ -67,11 +67,11 @@ taipy
 
 On your local machine, start the application by doing:
 ```console
-$ python3.8 -m pip install -r requirements.txt
+$ python3.9 -m pip install -r requirements.txt
 Collecting taipy
 ...
 Successfully installed taipy
-$ python3.8 app.py
+$ python3.9 app.py
  * Server starting on http://127.0.0.1:5000
  * Serving Flask app 'Taipy' (lazy loading)
  * Environment: production

docs/userman/run-deploy/deploy/linux/ubuntu.md

@@ -6,8 +6,8 @@
 
 ## Ubuntu versions below 20.04
 
-In versions before *Ubuntu 20.04*, the pre-installed Python versions are older than 3.8, the
-oldest version supported by Taipy. If you are in that case, please install Python 3.8 or above.
+In versions before *Ubuntu 20.04*, the pre-installed Python versions are older than 3.9, the
+oldest version supported by Taipy. If you are in that case, please install Python 3.9 or above.
 
 ## Prepare your machine