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.
From Practical Data Science with R, Second Edition
By Nina Zumel and John Mount
Chapters selected by Naomi Ceder
From Data Wrangling with JavaScript
By Ashley Davis
Chapters selected by Brian Godsey
From The Art of Data Usability by Tryggvi Björgvinsson
This article discusses quality management in terms of data and data projects. When you know what your users need or want, you’ll have to manage those expectations somehow, but how do you manage quality? It turns out that you approach it similarly to how you would try to properly answer a question.
From The Art of Data Usability by Tryggvi Björgvinsson
Everywhere we go we are surrounded by data, but it’s not always simple to interpret. Not only that, it’s also rather easy to mistakenly interpret data. This article, adapted from chapter 1, introduces the idea of “data usability” and goes into why it’s important in today’s data-rich world.