Update readme to add documentation VSCode

This adds additional documentation to the README. For example adds TOC and how to use Jupyter from VSCode. Also adds additional C++ references

README.md

-## About this tutorial
+Table of Contents
+=================
+
+- [About this tutorial](#about-this-tutorial)
+- [Goal of this tutorial](#goal-of-this-tutorial)
+- [How to run it?](#how-to-run-it-)
+- [Additional references](#additional-references)
+
+# About this tutorial
 
 This tutorial is heavily inspired from a C++ tutorial created by David Chamont (CNRS) that was given as a lecture with the help of Vincent Rouvreau (Inria) in 2016; latest version of this tutorial used as the basis of current one may be found [there](https://gitlab.inria.fr/FormationCpp/DebuterEnCpp).
 
@@ -12,7 +20,7 @@ I have rewritten entirely and modified heavily several chapters, but the backbon
 As the original tutorial, the present lecture is released under the [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](http://creativecommons.org/licenses/by-nc-sa/4.0/) licence.
 
 
-## Goal of this tutorial
+# Goal of this tutorial
 
 This is an introductory lecture to the modern way of programming C++; at the end of it you should:
 
@@ -22,7 +30,7 @@ This is an introductory lecture to the modern way of programming C++; at the end
 * Be aware of many good programming practices in C++.
 
 
-## How to run it?
+# How to run it?
 
 As this tutorial relies heavily on [Xeus-cling kernel](https://github.com/QuantStack/xeus-cling), the only requirement is to install this environment on your machine.
 
@@ -30,7 +38,7 @@ Unfortunately, the support of this kernel is still experimental on Windows; I ad
 
 Should the procedure described below not work at some point I invite you to check the link above, but at the time of this writing you need to:
 
-* Install [miniconda3](https://conda.io/miniconda.html) environment (apparently using full-fledged anaconda may lead to conflict in dependancies).
+* Install [miniconda3](https://conda.io/miniconda.html) environment (apparently using full-fledged anaconda may lead to conflict in dependencies).
 * Create a new conda environment and activate it:
 
 ```
@@ -38,6 +46,19 @@ conda env create -f environment.yml
 conda activate formation_cpp_2020
 ```
 
+You can also do it [manually](https://xeus-cling.readthedocs.io/en/latest/installation.html#installing-the-kernel-spec) as:
+
+```
+conda create -n formation_cpp_2020      # Create a conda environment
+source activate formation_cpp_2020      # Activate the environment you just created
+conda install -c conda-forge xeus-cling # Install xeus-cling using conda
+jupyter kernelspec install CONDA_LOCATION/envs/formation_cpp_2020/share/jupyter/xcpp11 --user # Register the C++ kernels
+jupyter kernelspec install CONDA_LOCATION/envs/formation_cpp_2020/share/jupyter/xcpp14 --user
+jupyter kernelspec install CONDA_LOCATION/envs/formation_cpp_2020/share/jupyter/xcpp17 --user
+```
+
+In order to consider additional libraries to the default ones, it is possible following the instructions from [here](https://krshrimali.github.io/Setting-Up-Xeus-Cling-Libtorch-OpenCV/).
+
 * Then you can run the notebook by going **into its root directory** (or internal links won't work...) in a terminal and typing:
 
 ```
@@ -46,3 +67,12 @@ jupyter notebook
 
 __BEWARE__: I **strongly advise** to use a dedicated environment for the notebook: the ultimate goal is to use a real C++ environment for your project, and the anaconda environment hides the native C++ compiler on your machine.
 
+__NOTE__: It is possible to use the notebooks directly from IDEs like [VSCode](https://gitlab.inria.fr/formations/cpp/gettingstartedwithmoderncpp/-/wikis/home#using-notebooks-with-vscode).
+
+# Additional references
+
+You can find additional references in the project [wiki](https://gitlab.inria.fr/formations/cpp/gettingstartedwithmoderncpp/-/wikis/home).
+
+
+
+