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 # The Hitchhiker's Guide to Parallelism with Python
 
+[![License: CC BY-SA 4.0](https://licensebuttons.net/l/by-sa/4.0/80x15.png)](https://creativecommons.org/licenses/by-sa/4.0/)
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+_The tutorial text/jupyter-notebbok-html rendered pages are free to reuse and share as you like. They are released under the Creative Commons "Share Alike" licence. The code in the repository is released under the GNU GPL 3.0 Licence. You are free to modify and reuse all of the contents of this repository!_
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 This workshop will explore how do basic parallel programming in Python through a hands-on tour of some of the Python libraries that can be used to do parallel programming. It will start with a brief introduction to the issues that have given rise to the traditional thinking that Python is not a good language for parallel programming, namely the Global Interpreter Lock (GIL), why this currently prevents traditional thread-based parallelism in Python, but why that should not stop you from using Python to do parallel programming. The post-introduciton sections can be attempted in any order that suits the reader.
 
 _It is not an advanced-level parallel programming course! - But links and resources will be provided to more in-depth tutorials._