Update full tutorials from develop

docs/tutorials/complete_applications/complete_application/index.md

@@ -1,33 +1,20 @@
-# Getting Started with Taipy
-
 !!! important "Supported Python versions"
 
     Taipy requires **Python 3.8** or newer.
 
-Welcome to the **Getting Started** guide for Taipy. This tour shows you how to create an entire application using 
-the two components of Taipy:
-
-- **Graphical User Interface builder** (Taipy GUI): allows any Python developer to create a complex and interactive GUI.
-
-- **Scenario Management** (Taipy Core): implements a modern backend for any data-driven application based on your business case.
-
-![Getting Started application](step_00/imd_end_interface.png){ width=700 style="margin:auto;display:block;border: 4px solid rgb(210,210,210);border-radius:7px" }
-
+Welcome to the **Tutorial** guide to create a complete application using Taipy frontend and backend. No prior knowledge is required to complete this Tutorial.
 
-You can use Taipy GUI without Taipy Core and vice-versa. However, as you will see, they are incredibly efficient 
-when combined.
+![Tutorial application](step_01/overview.gif){ width=700 style="margin:auto;display:block;border: 4px solid rgb(210,210,210);border-radius:7px" }
 
-Each step of the **"Getting Started"** will focus on basic concepts of *Taipy*. Note that every step is dependent on 
-the code of the previous one. After completing the last step, you will have the skills to develop your own Taipy 
-application. 
+Each step of the **"Tutorial"** focus on basic concepts of *Taipy*. One step aims to create and complete only one file.
 
 ## Before we begin
 
 Three packages have to be installed:
 
  1. **Taipy** package, it requires Python 3.8 or newer;
 
- 2. **scikit-learn**: A Machine-Learning package that will be used in the Getting Started user code;
+ 2. **scikit-learn**: A Machine-Learning package that will be used in the Tutorial user code;
 
  3. **statsmodels**: Another package for statistics also used in the user code.
 
@@ -45,36 +32,30 @@ $ pip install statsmodels
     [Python installation guide](http://docs.python-guide.org/en/latest/starting/installation/)
     can guide you through the process.
 
-## Using Notebooks
 
-This **Getting Started** is for Python scripts (*.py*) only. If you want to use **Jupyter Notebooks**, download this [notebook](https://docs.taipy.io/en/latest/getting_started/getting-started/getting_started.ipynb).
-
-So, without further delay, let's begin to code!
-
-## Steps
+Once Taipy is installed, you can use the CLI to create the scaffolding. The default template will be used throughout the creation of the application.
 
-0. [First web page](step_00/ReadMe.md)
-
-1. [Visual elements](step_01/ReadMe.md)
-
-2. [Interactive GUI](step_02/ReadMe.md)
-
-3. [Introducing Taipy Core](step_03/ReadMe.md)
-
-4. [Pipeline Management](step_04/ReadMe.md)
+``` console
+> taipy create --template default
+Application root folder name [taipy_application]:
+Application main Python file [main.py]:
+Application title [Taipy Application]:
+Page names in multi-page application? []: data_viz scenario performance
+Does the application use scenario management or version management? [No]: yes
+Does the application use Rest API? [No]: no
+```
 
-5. [GUI & Pipeline](step_05/ReadMe.md)
 
-6. [Creation of Scenarios](step_06/ReadMe.md)
+So, without further delay, let's begin to code!
 
-7. [GUI & Scenarios](step_07/ReadMe.md)
+## Steps
 
-8. [Modify Data Nodes content](step_08/ReadMe.md)
+1. [Data Visualization page](step_01/ReadMe.md)
 
-9. [Manage Scenarios](step_09/ReadMe.md)
+2. [Algorithms used](step_02/ReadMe.md)
 
-10. [Embellish your APP](step_10/ReadMe.md)
+3. [Backend Configuration](step_03/ReadMe.md)
 
-11. [Introducing Cycles](step_11/ReadMe.md)
+4. [Scenario page](step_04/ReadMe.md)
 
-12. [Compare Scenarios](step_12/ReadMe.md)
+5. [Performance page](step_05/ReadMe.md)