installation-instructions.md

@@ -232,8 +232,40 @@ If you encounter an error installing graph-tool via Macports, please file a bug
 
 ### Windows
 
-Fully native installation on windows is not supported, but two viable options are either to use [Docker](#installing-using-docker) (see [here](https://docs.docker.com/docker-for-windows/) for instructions), or the Ubuntu userspace for windows (more information [here](http://blog.dustinkirkland.com/2016/04/howto-ubuntu-on-windows.html) and [here](https://insights.ubuntu.com/2016/04/14/howto-ubuntu-on-windows-2/)), which allows the native Ubuntu packages to be installed as described [above](#debian-ubuntu).
+To use ``graph-tool`` on windows, you need to first install Windows Subsystem for Linux (WSL) as described here: https://learn.microsoft.com/en-us/windows/wsl/install
 
+Usually, this requires simply running the command below on the power shell:
+```
+wsl --install
+```
+and then rebooting. You will be asked to provide a username and password.
+
+This will install an Ubuntu subsystem alongside your windows OS. You then can install ``graph-tool`` just like described in the [Debian/Ubuntu](#debian-ubuntu) section above, i.e. you should open the file
+```
+sudo nano /etc/apt/sources.list
+```
+and add the following line to the bottom:
+```
+deb https://downloads.skewed.de/apt jammy main
+```
+(``jammy`` is the current version of Ubuntu at the time of this writing, it should replaced with most current version).
+You should then add the signing key,
+```
+sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-key 612DEFB798507F25
+```
+and update the package list:
+```
+sudo apt-get update
+```
+To enable all functionalities, the following extra packages need to be installed
+```
+sudo apt-get install python3-cairo python3-gi-cairo python3-gi gnome pip
+sudo pip install zstandard
+```
+Finally, the package itself can be installed via:
+```
+sudo apt-get install python3-graph-tool
+```
 ---------------------------------------
 
 ## Manual compilation
@@ -338,7 +370,7 @@ GCC finishes under 80 minutes, and uses at most slightly below 3 GB. On the othe
 ### Parallel algorithms
 graph-tool can run several of its algorithms in [parallel](http://en.wikipedia.org/wiki/Parallel_programming). It makes use of [OpenMP](http://en.wikipedia.org/wiki/Openmp) to do this, which provides a straightforward way of converting serial code into parallel code. OpenMP is an extension to the Fortran, C and C++ languages, which uses compiler directives to achieve automated code parallelization. Since it uses [compiler directives](http://en.wikipedia.org/wiki/Compiler_directive) (`#pragma `in C/C++), it maintains backwards compatibility with compilers that do not support OpenMP, and the code is then compiled cleanly as regular serial code. Thus, support for parallel code in graph-tool is quite optional. It is enabled by default, but if you wish to disable it, just pass the option `--disable-openmp` to the configure script.
 
-# Google's colaboratory
+# Google Colab
 
 Colaboratory (also known as Colab) is a free Jupyter notebook environment that runs in the cloud and stores its notebooks on Google Drive. Since it's based on an Ubuntu system, we can install graph-tool on it using the instructions above. Please see here for a working Colab installation of graph-tool: https://colab.research.google.com/github/count0/colab-gt/blob/master/colab-gt.ipynb