I was recently asked to give a talk on Introducing Python for the Reproducible, Interpretable, Open, Transparent Science club (RIOTS). This gave me a chance to go back to an earlier lecture given at the Digital Humanities Oxford Summer School and to refresh the material.
I do like giving these talks with a live example and this was a case of being able to come back to tools like Binder and Jupyter. As a theme of the session is reproducibility, I wanted to reflect on some of the existing Python tools such as Jupyter and virtual environment. The latter takes one into questions of reproducing a particular machine rather than a process which was elided slightly for time as this only an hour long.
It was great to come back to these issues after some time away from them.
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