Using-Fidle/Install-Fidle.md

@@ -34,7 +34,7 @@ The **installation** consists of **3 steps**:
 
 The simplest and most conventional way is with **git** (200 MB):
 
-```plaintext
+```shell
 git clone https://gricad-gitlab.univ-grenoble-alpes.fr/talks/fidle.git
 ```
 
@@ -48,7 +48,7 @@ However, a **classic retrieval** (zip, tar, ?...) is possible via the download b
 The datasets used in the examples are **[available here ](https://fidle.cnrs.fr/fidle-datasets.tar)**.\
 On Linux, you can retrieve and decompress them using the following commands:
 
-```plaintext
+```shell
 wget https://fidle.cnrs.fr/fidle-datasets.tar
 tar -xf fidle-datasets.tar
 ```
@@ -75,7 +75,8 @@ A complete description of the different datasets is available in Notebooks.
 Fidle notebooks require a specific, but classical Python environment,\
 which will be managed with Conda.
 
-If the **conda** command is **not found**, the easiest way is to install **[Miniconda ](https://docs.conda.io/en/latest/miniconda.html)** (or [Anaconda](https://docs.anaconda.com/anaconda/install/)) - Choose a python version >=3.8 !
+If the **conda** command is **not found**, the easiest way is to install **[Miniconda ](https://docs.conda.io/en/latest/miniconda.html)** (or [Anaconda](https://docs.anaconda.com/anaconda/install/))\
+Note : Choose a python version >=3.8
 
 ### I just have a CPU :