From Deep Learning with PyTorch
by Eli Stevens and Luca Antiga
In this article, we explore some of PyTorch’s capabilities by playing generative adversarial networks.
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 Testing Vue.js Applications by Edd Yerburgh
Part 1 covers:
From Docker in Practice, Second Edition by Ian Miell and Aidan Hobson Sayers
This article dives into running containers. If you’re interested in learning some practical techniques that might not be obvious, read on!
From Deep Learning with PyTorch by Eli Stevens and Luca Antiga
In this article, we explore some of PyTorch’s capabilities by playing with pre-trained networks.
From Get Programming with Python in Motion
By Ana Bell
From Practical Data Science with R, Second Edition
By Nina Zumel and John Mount
From CSS in JavaScript
By Dustin Schau
