updated readme

README.md

@@ -15,7 +15,7 @@ This course provides an introduction into the scientific programming language `J
 
 To run the course material on your local machine, clone this [github repository]( https://github.com/AndreasKuhn-ak/WS2022_Julia). Download and install [Anaconda](https://www.anaconda.com/download#downloads) and [Julia](https://julialang.org/downloads/) for your operating system. Install the package [IJulia](https://datatofish.com/add-julia-to-jupyter/) with your local `Julia` installation. Now you can start using the Jupyter Notebooks of the course. Any additional packages used in the course are installed and introduced in the chapter "packages" with the integrated `Julia` packages manager.  
 
-For a first experience without any prior installation, you can also use [mybinder](https://mybinder.org/v2/gh/AndreasKuhn-ak/WS2022_Julia/HEAD) to directly execute the Jupyter notebooks in your browser. Unfortunately, this comes with some restrictions: Due to the limited server capacities of mybinder, the container building phase takes quite some time and can sometimes fail, and the GPU accelerated plotting in the ninth part will not work. You should also keep in mind that your changes will only be saved as long as your browser session is active, but you can download the changed notebooks to your local machine. 
+For a first experience without any prior installation, you can also use [mybinder](https://mybinder.org/v2/gh/AndreasKuhn-ak/WS2022_Julia/HEAD) to directly execute the Jupyter notebooks in your browser. Unfortunately, this comes with some restrictions: Due to the limited server capacities of mybinder, the container building phase takes quite some time,can sometimes fail and the GPU accelerated plotting in the ninth part will not work. You should also keep in mind that your changes will only be saved as long as your browser session is active, but you can download the changed notebooks to your local machine. 
 
 # Statement of Need