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.
Comments on this page are now closed.
©2017, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com