Naomi Ceder, author of The Quick Python Book, Third Edition
By Frances Lefkowitz, Development Editor, Manning Publications
Naomi Ceder earned a Ph.D in Classics, but, since 2001, has been learning, teaching, and using Python. An elected fellow of the Python Software Foundation, Naomi currently serves as chair of its board of directors. She also speaks internationally about the Python community, and on inclusion and diversity in technology in general. By day she leads a team of Python programmers for Dick Blick Art Materials, and in her spare time she enjoys sketching, knitting, and deep philosophical conversations with her dog.
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 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 Deep Learning with PyTorch by Eli Stevens and Luca Antiga
This article introduces you to PyTorch and discusses why you might want to use it in your deep learning projects.
From Deep Learning with PyTorch
By Eli Stevens and Luca Antiga
Chapters selected by Naomi Ceder
From Data Science at Scale with Python and Dask
By Jesse C. Daniel
