From Spark in Action, Second Edition by Jean-Georges Perrin
From Mastering Large Datasets with Python by J.T. Wolohan
This article covers
· Using map to do complex data transformations
· Chaining together small functions into pipelines
· Applying these pipelines in parallel on large datasets
From Fighting Churn with Data by Carl Gold
From Build Your Career in Data Science by Emily Robinson and Jacqueline Nolis
From Mastering Large Datasets by JT Wolohan
This article explores using the map function creatively in a data project.
Six Questions for Jonathan Carroll, author of Beyond Spreadsheets with R
By Frances Lefkowitz
Jonathan Carroll is a data science consultant providing R programming services. He holds a PhD in theoretical physics.
From Spark in Action, Second Edition by Jean George Perrin
From Graph-Powered Machine Learning by Alessandro Negro
From Modern Fortran by Milan Curcic
From Data Science at Scale with Python and Dask by Jesse C. Daniel
This article discusses Dask, how it compares to Apache Spark, and how to create and understand directed acyclic graphs using the example of the delicious Italian pasta dish bucatini all’Amatriciana.