Python is popular for data analysis, but restricting yourself to Python means missing a wealth of libraries or capabilities available in R or SQL. Laurent Gautier walks you through a pragmatic, reasonable, and good-looking polyglot approach, all thanks to R visualizations. Along the way, you’ll learn why the Jupyter Notebook is a very good working environment for Python-centered polyglot data analysis.
Laurent Gautier is a scientific research lead at Verily Life Sciences (fka Google Life Sciences). Laurent’s work focuses on data science, visualization, machine learning, data mining, and prototyping software to understand molecular, cellular, and clinical data. He is the author of popular open source tools in bioinformatics and statistical programming for applications in healthcare, life sciences, and beyond and has contributed to or led a number of open source projects, including Bioconductor, affy, and rpy2.
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Comments
The error message is pointing out two possible causes for the error I agree with.
I am getting an error when running docker command indicated above. The error is: "Post http:///var/run/docker.sock/v1.20/images/create?fromImage=rpy2%2Fpolyglot%3Alatest: dial unix /var/run/docker.sock: no such file or directory.
Thanks for the note Tyler. This is a good resource. Docker will help us get a turnkey environment that is expected to work on everyone everyone’s system (from laptop to VM on the cloud).
Hi,
I’ve installed docker and found that the Docker docs on getting started are invaluable: https://docs.docker.com/get-started/
I recommend them to anyone (who like myself didn’t know what docker was before this).