Using-Fidle/Install-Fidle.md

@@ -11,26 +11,27 @@
 * all the **datasets** needed
 * all the **notebooks**, from the Gitlab repository
 
-## 1 - Installation via Docker (Best choice !)
+## 1 - Installation via Docker (Best choice if you know docker!)
 
-If you know **how to use Docker tool** :<br>
+**You already use docker ?**:<br>
 You can [**install the Fidle environment via Docker**](Install-Docker) ! 
 ([<img width="15px" src="uploads/677b49fe6e5f0aee65658ba58afb94ce/noun-star-2324309-E12229.png">
  <img width="15px" src="uploads/677b49fe6e5f0aee65658ba58afb94ce/noun-star-2324309-E12229.png">
  <img width="15px" src="uploads/677b49fe6e5f0aee65658ba58afb94ce/noun-star-2324309-E12229.png">](Install-Docker))
 
-The Docker image contains everything you need.
-<br> This is objectively the best choice !
+The Docker image contains already everything you need.
+<br>For installation process, this is the best choice **if you know how to use docker** !
 
 ## 2 - Conventional installation
 
+**You prefer to have everything installed on your computer natively OR you do not use docker**
 This procedure will allow you to install all the environment necessary for the Fidle practical work. This environment is identical in every way to a classic Deep Learning development environment.
 
-Choose the right procedure :
+Choose the right procedure according to your computer OS:
 
 - **[Linux installation](/Using-Fidle/Linux installation with pip)**
-- **[Windows installation](/Using Fidle/Windows installation)**
-- **[Manual installation (MacOs ?)](/Using Fidle/Manual installation)**
+- **[Windows installation](/Using Fidle/Windows installation with pip)**
+- **[Manual installation (MacOs ?)](/Using Fidle/Manual installation with conda)**
 
 Then, now you can **[run Jupyter Lab !](Using-Fidle/Running-Jupyter)**